AI Prompt Library
639 copy-paste prompts for every major AI tool. Free to use.
Coding
ChatGPT Code Review Prompt
ChatGPTReview the following code for bugs, performance issues, and readability. For each issue found, explain why it's a problem and suggest a fix. Then provide the improved code. ``` [PASTE YOUR CODE HERE] ```
#code#review#debug
Cursor Agent Refactor Prompt
CursorRefactor this function into 3 smaller, well-named functions. Extract the data fetching logic, the transformation logic, and the rendering logic. Add TypeScript types. Keep the same external API.
#refactor#agent#multi-file
Cursor Bug Fix Prompt
CursorThis code has a bug: [DESCRIBE THE BUG]. The expected behavior is: [DESCRIBE EXPECTED]. Find the root cause, fix it, and explain what was wrong. Add a test that would have caught this bug.
#bug#fix#debug
Cursor Architecture Patterns Prompt
CursorAnalyze this codebase architecture and suggest: 1) Current pattern identification, 2) Coupling issues, 3) Recommended design patterns to apply, 4) Step-by-step refactoring plan with code examples for each step. [PASTE CODEBASE STRUCTURE OR KEY FILES]
#architecture#design-patterns#refactoring
Cursor Test Generation Prompt
CursorGenerate comprehensive unit tests for the following function/module. Use [JEST / VITEST / PYTEST / appropriate framework]. Cover: 1) Happy path, 2) Edge cases (empty input, boundary values, null), 3) Error cases, 4) Performance edge cases if relevant. Include test descriptions that explain the WHY, not just the WHAT. [PASTE CODE]
#testing#unit-test#automation
Cursor Strict Code Review Prompt
CursorPerform a strict code review on the following code. Check for: 1) SOLID violations, 2) Security vulnerabilities (OWASP top 10), 3) Performance bottlenecks, 4) Error handling gaps, 5) Testability issues, 6) Naming conventions, 7) Dead code. Rate severity: CRITICAL / HIGH / MEDIUM / LOW. Provide fixed code for CRITICAL issues. [PASTE CODE]
#review#quality#best-practices
Cursor New Project Setup
CursorSet up a new [LANGUAGE] project: package manager, linting, git ignore, README, env vars, test setup. Modern best practices for [YEAR].
#setup#project
Cursor Debug Strategy
CursorDebug [DESCRIBE BUG]: 1) Root causes ranked, 2) Diagnostic steps, 3) Fix, 4) Prevention. Context: [PASTE CODE+ERROR]
#debug
Cursor Large File Refactor
CursorRefactor into smaller modules: single responsibility, keep API, add TypeScript, extract utilities, update imports. Show structure then files. [PASTE FILE]
#refactor
Cursor API Endpoint
CursorCreate REST endpoint for [RESOURCE]: CRUD, Zod validation, error handling, rate limiting, OpenAPI docs, tests. Framework: [EXPRESS/FASTIFY]. DB: [POSTGRES/MONGO].
#api#rest
Cursor Documentation Generator
CursorGenerate docs: architecture overview, module map, API reference, setup, usage examples, contributing guide. Markdown format. [PASTE FILES]
#documentation
Claude Code for Non-Dev
ClaudeExplain code in plain English with analogies: 1) What it does, 2) How it works, 3) Why it matters, 4) Example. [PASTE CODE]
#explanation#beginner
ChatGPT Regex Explainer
ChatGPTExplain regex: 1) What it matches, 2) Each symbol, 3) Use cases, 4) Edge cases, 5) Simpler alternative. Regex: [PASTE]
#regex
Windsurf Full-Stack
WindsurfFull-stack [APP]: Frontend [REACT/NEXT], Backend [NODE/PYTHON], DB [POSTGRES/MONGO], Auth. Features: [LIST]. Generate all files.
#fullstack
Windsurf Components
WindsurfComponent library [LIST]: TypeScript props, variants, ARIA, Storybook, tests, examples. Styling: [TAILWIND/CSS].
#components
Replit Quick Prototype
ReplitQuick prototype [APP IDEA]: single-file, core feature, [LANGUAGE], in-memory, runs immediately. Main file + README. 30 min budget.
#prototype
Replit API Server
ReplitREST API for [RESOURCE]: [EXPRESS/FASTAPI]. CRUD, validation, errors, CORS, health check, sample data, auto-docs. Replit-ready.
#api
v0 UI Component
V0React component for [DESCRIBE]: TypeScript, Tailwind, responsive, dark mode, ARIA, loading/error states. Features: [LIST]. Design: [DESCRIBE].
#react#ui
Lovable Landing Page
LovableLanding page [PRODUCT]: hero+CTA, feature grid, social proof, pricing, FAQ, footer. React+Tailwind. Scroll animations. SEO meta+schema. Design: [DESCRIBE].
#landing
Bolt Rapid MVP
BoltMVP of [APP IDEA]: one file, React+Tailwind, core feature, LocalStorage, no auth/backend, runs immediately. Responsive+errors+3 sample entries.
#mvp
DeepSeek Code Optimization
DeepSeekOptimize code for [PERF/READABILITY]: current complexity, bottlenecks, optimized code, before/after complexity, test verification. [PASTE]
#optimization
DeepSeek Algorithm
DeepSeekExplain [ALGORITHM] for junior dev: problem solved, intuition (analogy), walkthrough+example, complexity, when to use/not, interview Qs, [LANGUAGE] implementation.
#algorithm
Claude Spec Review
ClaudeReview spec: completeness, clarity, feasibility, testability, dependencies, risks, estimate. Score 1-10 per category + overall + top 3 issues. [PASTE]
#spec
Phind Debug Research
PhindResearch error [PASTE]: root cause, all solutions ranked, code examples, prevention, edge cases, docs. Cite sources. Context: [CODE+TRACE]
#phind#debug
ChatGPT User Stories
ChatGPT[N] user stories [FEATURE]: As a [user], I want [action] so that [benefit]. Each: priority (Must/Should/Could), acceptance criteria (2-3).
#user-stories
ChatGPT Test Cases
ChatGPTTest cases [FEATURE]: name, description, preconditions, steps, expected result, type (positive/negative/edge). 3+3+3.
#testing
ChatGPT Diff Explanation
ChatGPTExplain diff for non-technical: what changed, why, impact, risk, testing needed. [PASTE DIFF]
#diff
ChatGPT Refactoring Plan
ChatGPTRefactoring plan: code smells ranked, steps by dependency, each (what/why/risk/test), effort, final state. [PASTE CODE]
#refactor
Claude Architecture Review
ClaudeReview architecture: patterns, coupling, cohesion, dependencies, testability, 3 improvements, risk. [PASTE FILES]
#architecture
Claude Spec Deep Review
ClaudeDeep spec review: ambiguities, missing reqs, contradictions, testability, feasibility, security, performance, score(1-10). [PASTE]
#spec
Claude Code Tutorial
ClaudeTutorial [TOPIC]: prerequisites, what you build, step-by-step runnable code, explanation after each, common mistakes, next steps. Level: [DESCRIBE].
#tutorial
Claude Technical Spec
ClaudeTech spec [FEATURE]: overview, user stories, functional reqs, non-functional, data model, API design, UI/UX, testing, rollout, questions.
#spec
Cursor Merge Conflict
CursorResolve merge conflict: both sides intent, safe strategy, merged code, verify test, prevention. [PASTE CONFLICT]
#merge
Cursor Performance Optimize
CursorOptimize code: profile, optimizations list, optimized code, before/after complexity, memory impact. [PASTE CODE]
#performance
Cursor Security Audit
CursorAudit code: OWASP Top 10, input validation, auth issues, data exposure, dependency risks, fixes for CRITICAL, risk score. [PASTE CODE]
#security
Cursor Code Migration
CursorMigrate [OLD] to [NEW]: what changed, why, migration code, breaking changes, rollback. Full migrated file. [PASTE CODE]
#migration
Cursor TDD Workflow
CursorTDD for [FEATURE]: 1) Failing test (Red), 2) Min implementation (Green), 3) Refactor. Framework: [JEST/VITEST].
#tdd
Cursor CI Pipeline
CursorCI pipeline [PROJECT]: build, test, lint, security scan, deploy, notification. Platform: [GITHUB ACTIONS/GITLAB].
#ci
Cursor Docker Setup
CursorDocker for [PROJECT]: Dockerfile (multi-stage), docker-compose (dev+prod), .dockerignore, health check, volumes, env vars.
#docker
Cursor Database Migration
CursorDB migration [CHANGE]: up migration, down migration, data migration, indexes, FK constraints, test data. ORM: [PRISMA/TYPEORM].
#database
Cursor GraphQL Schema
CursorGraphQL schema [DOMAIN]: Types, Queries, Mutations, Inputs, Enums, Resolvers, N+1 prevention. Domain: [DESCRIBE].
#graphql
Cursor State Management
CursorState management [APP]: state shape, library (Redux/Zustand/Jotai), data flow, actions, selectors, persistence. App: [DESCRIBE].
#state
ChatGPT Code Comments
ChatGPTAdd meaningful comments: function-level (what + why), complex logic, edge cases, TODOs. Avoid obvious comments. [PASTE CODE]
#comments
ChatGPT API Test Cases
ChatGPTAPI test cases for [ENDPOINT]: positive, negative, edge cases, performance (concurrent/large), security (auth/injection). Format: name, request, expected.
#api
ChatGPT PR Description
ChatGPTPR description for [CHANGE]: title, summary, changes list, testing done, screenshots if UI, breaking changes, checklist. Changes: [DESCRIBE]
#github
Claude Architecture Document
ClaudeArchitecture doc: system overview (ASCII diagram), components, data flow, tech choices (rationale), scalability, security, monitoring, limitations. System: [DESCRIBE].
#architecture
Claude Technical Evaluation
ClaudeEvaluate solution: requirements coverage, architecture, security, performance, maintainability, cost, risk, recommendation (adopt/modify/reject). Solution: [PASTE]
#evaluation
Claude Changelog Generator
ClaudeChangelog from commits: group by Added/Changed/Fixed/Removed, user-facing descriptions, breaking changes highlighted, migration notes. Commits: [PASTE]
#changelog
AI Coding Roadmap
AnyCoding roadmap for [LANGUAGE]: fundamentals (wk1-2), core (wk3-4), projects (wk5-6), advanced (wk7-8), portfolio. Each: topics, resources, mini-project.
#coding
AI API Design Guide
AnyAPI design: resource naming, HTTP methods, status codes, pagination, filtering, versioning, auth, rate limiting, error format, documentation.
#api
AI Database Design
AnyDatabase schema for [APP]: entities + relationships, table definitions, indexes, normalization check, denormalization, migration. DB: [POSTGRES/MONGO].
#database
AI CI/CD Pipeline
AnyCI/CD for [PROJECT]: source control, build, test (unit/integration/e2e), security scan, staging, approval, production, rollback. Platform: [GITHUB/GITLAB].
#ci-cd
AI Microservice Design
AnyMicroservice for [CAPABILITY]: boundary, API contract, data ownership, communication, discovery, health, observability, scaling.
#microservice
AI Incident Response
AnyIncident response: severity levels (SEV1-4), on-call, detection, response steps, communication (internal/external), postmortem template, runbooks.
#incident
AI Cloud Migration
AnyCloud migration: current state, target architecture, strategy (lift/shift/refactor), phased timeline, risks, cost comparison, rollback.
#cloud
AI React Patterns
AnyReact patterns for [USE CASE]: which pattern (compound/hooks/render props/context), why, code example, trade-offs, when NOT to use.
#react
AI Async JavaScript
AnyAsync patterns: promises vs async/await, error handling, parallel, rate limiting, cancellation, retry. Scenario: [DESCRIBE].
#javascript
AI Python Best Practices
AnyPython best practices: type hints, error handling, logging, testing, performance, documentation, packaging. Task: [DESCRIBE].
#python
AI SQL Schema Design
AnySQL schema for [APP]: tables + columns, relationships, indexes, constraints, views, stored procedures, migration. App: [DESCRIBE].
#sql
AI Testing Strategy
AnyTesting strategy: unit (framework, coverage), integration, E2E, manual, CI integration, flaky test handling. Project: [DESCRIBE].
#testing
AI Code Review Checklist
AnyCode review checklist: functionality, design, complexity, tests, naming, comments, security, performance. Project: [DESCRIBE].
#code-review
AI Git Strategy
AnyGit strategy: branching model (GitHub Flow/Trunk/GitFlow), PR process, review requirements, merge rules, release, hotfix. Team: [N].
#git
AI Deployment Strategy
AnyDeployment: blue-green, canary, rolling, feature flags, rollback, health checks, traffic splitting, monitoring. App: [DESCRIBE].
#deployment
AI Technical Debt
AnyTech debt: categories (code/arch/test/deps), each item (impact/effort/risk), prioritize, 90-day plan, prevention.
#tech-debt
AI Load Testing
AnyLoad testing: scenarios (normal/peak/spike), user journeys, concurrent users, ramp-up, duration, metrics, tools, pass criteria.
#load-testing
AI Release Notes
AnyRelease notes for [VERSION]: 1) Version + date, 2) New features (user-facing), 3) Improvements, 4) Bug fixes, 5) Known issues, 6) Breaking changes, 7. Migration, 8. Credits. Tone: user-friendly.
#release#notes
AI Blameless Postmortem
AnyBlameless postmortem: 1) Timeline, 2) Impact (users/duration/$), 3) Root cause (5 whys), 4) Contributing factors, 5) What went well, 6) Action items (owner+deadline), 7. Follow-up review.
#postmortem#incident
AI SRE Runbook
AnySRE runbook for [SERVICE]: 1) Service overview, 2) Dashboards, 3) Alert definitions, 4) Common issues + fixes, 5) Escalation matrix, 6) Capacity planning, 7. Deployment, 8. Rollback.
#sre#runbook
AI API Documentation Template
AnyAPI doc template: 1) Getting started, 2) Authentication, 3) Rate limits, 4) Endpoints (with examples), 5) Webhooks, 6) SDKs, 7) Changelog, 8. Support. Format: developer-friendly.
#api#documentation
AI Architecture Review
AnyArchitecture review for [SYSTEM]: 1) Diagram assessment, 2) Scalability, 3) Reliability, 4) Security, 5) Maintainability, 6) Cost, 7) Team alignment, 8. Recommendations (prioritized).
#architecture#review
AI Tech Spec Review
AnyTech spec review: 1) Completeness, 2) Clarity, 3) Testability, 4) Feasibility, 5) Dependencies, 6) Risks, 7) Estimate, 8. Score (1-10) + top 3 issues. Spec: [PASTE]
#spec#review
Claude Test Plan
ClaudeTest plan for [FEATURE]: scope, test cases (unit/integration/e2e), data, environment, success criteria, risk areas. Feature: [DESCRIBE].
#testing
Claude Release Notes
ClaudeRelease notes for [VERSION]: new features, improvements, bug fixes, breaking changes, migration, contributors. Changes: [PASTE]
#release
Claude Architecture Decision
ClaudeArchitecture decision record: context, options (3), decision, rationale, consequences, reversibility. Decision: [DESCRIBE].
#architecture
Claude Runbook
ClaudeRunbook for [PROCESS]: overview, prerequisites, step-by-step, common errors + fixes, escalation, verification, rollback.
#runbook
Claude API Documentation
ClaudeAPI documentation for [ENDPOINT]: resource model, methods, request/response schemas, error codes, auth, rate limits, versioning.
#api
Claude Data Model
ClaudeData model for [APP]: entities, relationships (ERD), attributes, constraints, indexes, migration plan. App: [DESCRIBE].
#data-model
Claude Security Review
ClaudeSecurity review: attack surface, OWASP top 10, input validation, auth/authz, data protection, recommendations. System: [DESCRIBE].
#security
Claude Performance Review
ClaudePerformance review: bottlenecks, query analysis, caching, resource usage, recommendations (ranked), expected improvements.
#performance
AI Bug Report
AnyBug report: title, environment, steps to reproduce, expected vs actual, screenshots, severity, frequency, workaround. Bug: [DESCRIBE].
#bug
AI Code Review
AnyCode review checklist: functionality, design, complexity, tests, naming, comments, security, performance. PR: [DESCRIBE].
#review
AI Commit Message
AnyConventional commit: type (feat/fix/docs/refactor), scope, description (50 chars), body, breaking changes. Changes: [DESCRIBE].
#git
AI API Error Handling
AnyError handling for [API]: error codes table, messages (user-friendly), HTTP status mapping, retry, logging, client guidance.
#api
AI Docker Compose
AnyDocker Compose for [STACK]: services, networks, volumes, environment, health checks, resource limits. Stack: [DESCRIBE].
#docker
AI Kubernetes YAML
AnyKubernetes manifests: Deployment, Service, ConfigMap, Secret, Ingress, HPA. App: [DESCRIBE]. Replicas: [N].
#k8s
AI Terraform Module
AnyTerraform module: variables, resources, outputs, dependencies, tags. Resource: [DESCRIBE]. Cloud: [AWS/GCP/AZURE].
#terraform
AI GraphQL Mutation
AnyGraphQL mutation for [OPERATION]: input type, mutation definition, payload type, error handling, resolver. Operation: [DESCRIBE].
#graphql
AI React Component Spec
AnyReact component spec: props interface, state, events, render structure, styles, tests, storybook. Component: [DESCRIBE].
#react
AI Vue Component Spec
AnyVue component spec: props, emits, slots, setup, template, styles, tests. Component: [DESCRIBE].
#vue
AI Python Template
AnyPython script template: argparse, logging, main function, error handling, type hints, docstrings, requirements.txt. Task: [DESCRIBE].
#python
Cursor Extract Component
CursorExtract component: identify reusable parts, create component, pass props, update imports, verify. Code: [PASTE]
#refactor
Cursor Add TypeScript
CursorAdd TypeScript types: interfaces for props, return types, event handlers, generic constraints. Code: [PASTE]
#typescript
Cursor Error Boundary
CursorError boundary: class component, fallback UI, error logging, recovery button, test. Framework: React.
#error
Cursor Jest Tests
CursorJest tests for [FUNCTION]: happy path, edge cases (empty/null), error cases, mock deps, 90% coverage. Function: [PASTE]
#jest
Cursor Playwright E2E
CursorPlaywright E2E for [FLOW]: setup, navigation, interaction, assertions, cleanup. Flow: [DESCRIBE STEPS].
#playwright
Cursor Input Validation
CursorInput validation for [FORM]: required fields, type validation, custom rules, error messages, async validation.
#validation
Cursor Express Middleware
CursorExpress middleware for [PURPOSE]: function signature, logic, error handling, next(), tests. Purpose: [DESCRIBE].
#middleware
Cursor HTTP Interceptor
CursorHTTP interceptor: request transform, response transform, error handling, retry, auth injection. Framework: [AXIOS/FETCH].
#interceptor
Cursor Custom Hook
CursorCustom React hook for [USE CASE]: API, state, effects, cleanup, tests, TypeScript types. Use case: [DESCRIBE].
#hook
Cursor State Machine
CursorState machine for [COMPONENT]: states, transitions, events, actions, guards, implementation. Component: [DESCRIBE].
#state
Cursor Pagination
CursorPagination for [LIST]: page size, navigation, total count, URL sync, loading, empty state. Framework: [DESCRIBE].
#pagination
Cursor Infinite Scroll
CursorInfinite scroll: Intersection Observer, load more, loading indicator, end detection, error handling.
#infinite
Cursor Search Debounce
CursorDebounced search: input handler, debounce (300ms), API call, results state, loading/clear states.
#search
Cursor File Upload
CursorFile upload: drag-drop, validation (type/size), progress bar, preview, error handling. Use case: [DESCRIBE].
#upload
Cursor Modal Dialog
CursorAccessible modal: trigger, overlay, focus trap, escape close, animation, ARIA, tests.
#modal
Cursor Form Wizard
CursorMulti-step form: steps config, validation per step, progress indicator, navigation, final submit. Steps: [DESCRIBE].
#wizard
Cursor Dark Mode
CursorDark mode: theme context, toggle, localStorage, system preference, CSS variables. Framework: [DESCRIBE].
#dark-mode
Cursor Copy to Clipboard
CursorCopy to clipboard: click handler, Clipboard API, fallback, success feedback, error handling.
#clipboard
Cursor QR Code Generator
CursorQR code generator: input, QR library, download PNG, customize (color/size), error handling.
#qr
Cursor Web Worker
CursorWeb Worker for [TASK]: creation, message passing, execution, error handling, cleanup. Task: [DESCRIBE].
#worker
Writing
Claude Long Document Summary
ClaudeSummarize the following document into 5 key points, each with a one-sentence explanation. Then list 3 action items if applicable. [PASTE YOUR DOCUMENT HERE]
#summary#document#analysis
AI Blog Introduction Writer
AnyWrite a compelling blog post introduction (150 words) about [TOPIC]. Start with a surprising statistic or question. End with a clear thesis statement. Tone: authoritative but approachable.
#blog#intro#hook
Claude Essay Outline
ClaudeCreate a detailed outline for an essay about [TOPIC]. Include: thesis statement, 4-5 main arguments (each with 2 supporting points), counterargument section, and conclusion. Use academic tone.
#essay#outline#academic
ChatGPT SEO Article Writer Prompt
ChatGPTWrite a 1500-word SEO-optimized article about [TOPIC]. Target keyword: [KEYWORD]. Include: H1, H2, H3 headings, a meta description under 160 chars, FAQ section with 5 questions, and a conclusion with CTA. Tone: professional yet accessible. Avoid fluff and AI cliches.
#seo#article#content
Claude API Documentation Writer
ClaudeWrite developer-friendly API documentation for the following endpoint. Include: 1) Brief description, 2) HTTP method + path, 3) Request parameters table (name, type, required, description), 4) Request example (curl + JSON body), 5) Response schema, 6) Error codes, 7) Rate limiting notes. Use OpenAPI 3.0 style. [PASTE ENDPOINT INFO]
#api#documentation#technical
Claude Technical Spec Writer
ClaudeWrite a technical specification document for [FEATURE/SYSTEM]. Include: 1) Overview and goals, 2) User stories (As a... I want... So that...), 3) Functional requirements (numbered, testable), 4) Non-functional requirements (performance, security, scalability), 5) Data model, 6) API changes, 7) Testing strategy, 8) Rollout plan, 9) Open questions. Be specific, not generic.
#spec#technical#documentation
Claude Email Tone Adjust
ClaudeRewrite email to be [PROFESSIONAL/FRIENDLY/URGENT]: adjust word choice, structure, greeting, length. Keep meaning. [PASTE EMAIL]
#email#rewrite
ChatGPT Blog Outline
ChatGPTBlog outline for [TOPIC], keyword [KEYWORD]: H1, meta desc, 5-7 H2 sections, key stats, FAQ, CTA. Tone: [DESCRIBE].
#blog#seo
Surfer SEO Brief
Surfer SEOContent brief for [KEYWORD]: intent, word count, title (60 chars), meta (160 chars), H2/H3, PAA questions, entities, internal links, gaps.
#seo
Surfer SEO Clusters
Surfer SEOCluster keywords [PASTE]: pillar topic, subtopics, volume, difficulty, linking map, priority, intent per cluster.
#keywords
AI Writing Critique
AnyCritique as [EXPERT]: hook, clarity, structure, tone, evidence, word choice, ending, grade (A-F) + 3 improvements. Be honest. [PASTE]
#critique
Jasper Content Remix
JasperRemix blog into: Twitter thread (8), LinkedIn post, Instagram carousel (7), email newsletter (300 words), YouTube outline. Each: message, tone, CTA. [PASTE]
#remix
ChatGPT Podcast Outline
ChatGPTPodcast outline [TOPIC] [MINUTES] min: cold open(2m), intro+guest(3m), 2 main segments(10m each), Q&A(5m), picks(3m), outro+CTA(2m). Points per segment.
#podcast
Claude Creative Story
Claude800-word story [PREMISE]: hook first line, show dont tell, one twist, satisfying ending, distinctive voice. Setting: [DESCRIBE]. Tone: [LITERARY/PULP].
#fiction
Claude Grant Proposal
ClaudeGrant for [PROJECT]: exec summary(250 words), problem+data, methodology, goals+outcomes, timeline, budget, team, sustainability, evaluation. Funder: [DESCRIBE].
#grant
Claude Podcast Notes
ClaudeShow notes: title+number, one-sentence summary, timestamps, 5 takeaways, resources, guest bio, quote highlights, CTA. Transcript: [PASTE]
#podcast
ChatGPT Changelog
ChatGPTChangelog [VERSION]: Added/Changed/Fixed/Removed. Each: description, why it matters, how to use. No jargon. Breaking changes warning. Notes: [PASTE]
#changelog
QuillBot Paraphrase
QuillBotParaphrase 3 ways: 1) Simplify (grade 8), 2) Formal (academic), 3) Expand (+30%). Each: text + changes + use case. Original: [PASTE]
#quillbot
Wordtune Edit Pass
WordtuneEdit text: cut wordiness, fix passive, replace cliches, vary repetition, make specific, improve transitions. Original + edited + changes. [PASTE]
#wordtune
Jasper Brand Voice
JasperBrand voice [COMPANY]: 3 adjectives, vocab use/avoid, sentence structure, tone examples (welcome/error/social/complaint), forbidden phrases, before/after.
#brand
Claude Policy Document
ClaudeDraft [POLICY TYPE] policy: 1) Purpose, 2) Scope, 3) Definitions, 4) Policy statements, 5) Procedures, 6) Roles/responsibilities, 7) Compliance, 8) Review schedule. Formal, clear.
#policy#legal
ChatGPT FAQ Page
ChatGPTGenerate FAQ for [TOPIC] (15 Qs): from simple to advanced. Each: question (natural language), answer (2-3 sentences, clear), related question link. SEO-optimized.
#faq#seo
ChatGPT Formal Rewrite
ChatGPTRewrite in formal professional tone. Fix contractions, casual phrases, sentence structure. Keep meaning. [PASTE TEXT]
#rewrite#formal
ChatGPT Simplify Text
ChatGPTSimplify to grade 6: short sentences (15 words max), common words, one idea per sentence, active voice. [PASTE TEXT]
#simplify
ChatGPT Expand Outline
ChatGPTExpand outline into article: 2-3 paragraphs per section, examples, data, transitions. [WORD COUNT] words. [PASTE OUTLINE]
#expand
ChatGPT Grammar Fix
ChatGPTFix grammar, spelling, punctuation: fragments, run-ons, comma splices, agreement, tense. Corrected text only. [PASTE TEXT]
#grammar
ChatGPT Translate & Localize
ChatGPTTranslate [SOURCE] to [TARGET]. Localize: idioms, measurements, currency, references. Maintain tone. [PASTE TEXT]
#translate
ChatGPT Podcast Script
ChatGPT[MINUTES]-min podcast script [TOPIC]: cold open(30s), intro(1m), 3 segments, listener Q, outro+CTA. SFX/music cues.
#podcast
ChatGPT UX Microcopy
ChatGPTUX microcopy for [APP]: button labels (2 words), error messages (clear), empty states (encouraging), tooltips, onboarding.
#ux#microcopy
ChatGPT Error Messages
ChatGPTError messages [APP]: what happened (plain English), why, what to do next, how to prevent. Cover: validation, network, permission, 404, server.
#error#ux
ChatGPT Content Repurpose
ChatGPTRepurpose [CONTENT]: 5 Twitter posts, LinkedIn(300w), email(200w), Instagram caption, video script. Each: message, tone, CTA. [PASTE]
#repurpose
ChatGPT API Documentation
ChatGPTAPI docs [ENDPOINT]: summary, method+path, auth, parameters table, request(curl+JSON), response(200+400+401), rate limits. OpenAPI style.
#api#docs
ChatGPT Blog Conclusion
ChatGPTBlog conclusion [TOPIC]: summary(2-3 sentences), takeaway(1 sentence), CTA(next step), comment question. No cliches.
#conclusion
Claude Professional Email
ClaudeProfessional email [SITUATION]: subject(60 chars), greeting, context(1 sentence), body, specific ask, closing. Tone: [FORMAL/FRIENDLY].
#email
Claude Deep Grant Proposal
ClaudeGrant [PROJECT]: cover, abstract(250w), problem(data), literature, goals(SMART), methodology, timeline(Gantt), budget, evaluation, team, sustainability. Funder: [DESCRIBE].
#grant
ChatGPT Recipe Generator
ChatGPTCreate a recipe using: [INGREDIENTS]. Include: name, prep/cook time, ingredients, step-by-step, serving size, nutrition, tips. Dietary: [VEGAN/KETO/NONE].
#recipe#food
ChatGPT Book Summary
ChatGPTSummarize [TITLE + AUTHOR]: thesis (1 sentence), 5 key arguments, evidence, takeaways, critique, who should read it.
#book
ChatGPT Language Lesson
ChatGPT[LANGUAGE] lesson for [LEVEL]: 10 vocabulary words, grammar rule, exercises, dialogue, cultural note. Topic: [DESCRIBE].
#language
ChatGPT Cover Letter
ChatGPTCover letter for [JOB] at [COMPANY]: hook, relevant experience (2-3 examples), unique value, closing + CTA. Background: [DESCRIBE].
#cover-letter
Claude Novel Chapter
ClaudeWrite next novel chapter: continue plot, maintain voices, advance conflict, sensory details, end with hook. Previous summary: [PASTE] Next: [DESCRIBE]
#fiction
Claude Screenplay Scene
Claude[N]-page screenplay: scene heading, action description, character intros, dialogue (natural, subtext), parentheticals, transition. Scene: [DESCRIBE].
#screenplay
Claude Poetry
ClaudePoem about [TOPIC], form [FREE/SONNET/HAIKU]: vivid imagery, consistent meter, meaningful line breaks, emotional arc, memorable final line. Mood: [DESCRIBE].
#poetry
Claude Character Bible
ClaudeCharacter bible: physical description, personality (3 traits + contradictions), backstory, motivations (want vs need), voice, relationships, arc. Genre: [DESCRIBE].
#character
Claude Worldbuilding
ClaudeFictional world: geography, magic/tech system (rules + limits), politics, economy, religion, daily life, history (3 events), conflicts. Genre: [DESCRIBE].
#worldbuilding
Claude Grant Budget
ClaudeBudget justification: personnel (roles/FTE/rates), equipment, materials, travel, indirect costs, total + alignment with goals. Budget: $[AMOUNT].
#grant
Claude Editorial Letter
ClaudeEditorial letter: overall impression, big-picture issues (structure/pacing/character), chapter notes, recurring line issues, revision suggestions, encouragement. Manuscript: [PASTE]
#editing
Claude Translation Review
ClaudeReview translation [SOURCE] to [TARGET]: accuracy, fluency, cultural appropriateness, consistency, style match, specific improvements. Original: [PASTE] Translation: [PASTE]
#translation
ChatGPT Lesson Plan
ChatGPTLesson plan for [SUBJECT] [GRADE]: objective, warm-up, main activity, group work, assessment, homework, materials. Duration: [MIN].
#education
ChatGPT Rubric Maker
ChatGPTRubric for [ASSIGNMENT]: 5 criteria scored 1-4 with descriptions. Content, organization, creativity, mechanics, effort. Assignment: [DESCRIBE].
#education
ChatGPT Quiz Generator
ChatGPTQuiz on [TOPIC]: 5 MC, 3 T/F, 2 short answer, 1 essay. Answer key with explanations. Level: [DESCRIBE].
#education
ChatGPT Flashcard Set
ChatGPT20 flashcards for [TOPIC]: front (question), back (answer). Organized easy/medium/hard. Q/A pairs.
#education
ChatGPT Parent Teacher Email
ChatGPTParent-teacher email: positive opening, observations, concern (data-based), suggested action, meeting invitation. Collaborative tone. Situation: [DESCRIBE].
#education
ChatGPT Study Guide
ChatGPTStudy guide for [EXAM]: key concepts (10), formulas/terms, practice questions (5), common mistakes (3), 7-day schedule. Level: [DESCRIBE].
#education
ChatGPT Differentiated Instruction
ChatGPTDifferentiated lesson for [TOPIC]: 3 versions (below/at/above grade): objectives, materials, activities, assessment.
#education
ChatGPT IEP Goals
ChatGPTIEP goals for [NEED]: 3 measurable annual goals, each with objective, measurement, quarterly benchmarks, mastery criteria. Need: [DESCRIBE].
#education
ChatGPT Education Grant
ChatGPTEducation grant for [PROGRAM]: need, description, objectives (SMART), activities, budget, evaluation, sustainability. Amount: $[X].
#education#grant
ChatGPT Professional Development
ChatGPTPD plan for [TEACHERS]: topic, objectives, agenda (half-day), materials, activities, assessment, follow-up. Topic: [DESCRIBE].
#education
ChatGPT Course Syllabus
ChatGPTSyllabus for [COURSE]: description, objectives, materials, 15-week schedule, grading, attendance, integrity. Course: [DESCRIBE].
#education
ChatGPT Substitute Plans
ChatGPTSub plans for [GRADE/SUBJECT]: schedule, 3 lesson activities, behavior expectations, contacts, early finishers, materials. Duration: [N] days.
#education
ChatGPT Lab Report Helper
ChatGPTLab report for [EXPERIMENT]: hypothesis, materials, procedure, data table, analysis, conclusion, error discussion, future work.
#education#science
ChatGPT Project Rubric
ChatGPTProject rubric: 6 criteria (content/creativity/presentation/research/collaboration/timeliness), each 1-4 with descriptors. Project: [DESCRIBE].
#education
Claude Essay Feedback
ClaudeEssay feedback: thesis clarity, argument structure, evidence, mechanics, originality. Specific suggestions. Score A-F. [PASTE ESSAY]
#education
Claude Detailed Syllabus
ClaudeSyllabus for [COURSE]: outcomes (5), weekly topics (15), readings, assignments, grading rubric, policies, accommodations. Course: [DESCRIBE].
#education
AI Ghost Writing
AnyGhost write in [AUTHOR] voice: 1) Analyze their style (sentence length, vocabulary, tone), 2) Write [CONTENT TYPE] matching their voice, 3) Notes on adaptation. Sample: [PASTE]
#ghost-writing
AI Script Editing
AnyEdit this script: 1) Tighten dialogue (cut unnecessary), 2) Improve pacing, 3) Fix plot holes, 4) Enhance character voice, 5) Add stage directions. Script: [PASTE]
#script
AI FAQ Page Generator
AnyFAQ page for [TOPIC]: 15 Q&As from simple to advanced. Each: natural language Q, clear A (2-3 sentences), related question link. SEO-optimized.
#faq
AI Style Guide
AnyWriting style guide for [BRAND]: voice (3 adjectives), tone examples (welcome/error/social/complaint), vocabulary do/dont, formatting rules, banned phrases.
#style-guide
AI Newsletter Template
AnyNewsletter template: 1) Subject line formula, 2) Preview text, 3) Lead story, 4) Quick hits (3), 5) Resource section, 6) CTA, 7. Footer. Brand: [DESCRIBE].
#newsletter
AI Whitepaper Outline
AnyWhitepaper outline for [TOPIC]: 1) Executive summary, 2) Problem, 3) Solution, 4) Technical details, 5) Case studies, 6) ROI, 7) Conclusion, 8. References. 10-15 pages.
#whitepaper
AI Ebook Outline
AnyEbook outline for [TOPIC]: 1) Title + subtitle, 2) Chapter list (8-10), 3) Each chapter: key points, word count, visuals needed, 4) Total estimate. Topic: [DESCRIBE].
#ebook
AI Technical Blog Post
AnyTechnical blog post [TOPIC]: 1) Hook (real-world problem), 2) Background, 3) Core concept + ASCII diagram, 4) Code example (tested), 5) Pitfalls, 6) Best practices, 7. Further reading. 1500 words.
#blog#technical
ChatGPT Product Review
ChatGPTBalanced product review for [PRODUCT]: overview, features (5), pros (3), cons (3), who should buy, verdict. Honest, specific.
#review
Claude Business Letter
ClaudeFormal business letter for [PURPOSE]: sender/recipient, subject, opening, body, call to action, closing. Standard format. Purpose: [DESCRIBE].
#letter
Claude Executive Summary
ClaudeExecutive summary of [DOCUMENT]: purpose (1 sentence), key findings (3), recommendations (3), next steps, timeline. Max 250 words. [PASTE]
#executive
Claude FAQ Generator
Claude10 FAQs from document: questions cover main topics, answers 2-3 sentences, basic to advanced, include edge cases. [PASTE]
#faq
Claude Bullet Summary
Claude10 bullet point summary: one idea per bullet, under 15 words, ordered by importance, include data. Content: [PASTE]
#summary
Claude Formal Translation
ClaudeTranslate to [LANGUAGE] formal register: maintain professional tone, adapt idioms, use honorifics, preserve formatting. [PASTE]
#translate
Claude Creative Metaphors
Claude5 metaphors for [CONCEPT]: each from different domain (nature/tech/cooking/sports/music), explain mapping, when to use. Concept: [DESCRIBE].
#creative
Claude Creative Brief
ClaudeCreative brief for [PROJECT]: background, objectives, audience, key message, deliverables, timeline, budget, metrics. Project: [DESCRIBE].
#brief
AI SEO Content Brief
AnyContent brief for [KEYWORD]: intent, title (60 chars), meta (160 chars), H2/H3, word count, internal links, competitor gaps, FAQs.
#seo
Image
Midjourney Cinematic Portrait
Midjourneycinematic portrait of [SUBJECT], dramatic lighting, shallow depth of field, shot on 85mm lens, golden hour, film grain, ultra detailed --ar 4:5 --style raw --v 6
#portrait#cinematic#photo
Midjourney Product Photography
Midjourneyprofessional product photography of [PRODUCT], on marble surface, soft studio lighting, shallow depth of field, commercial quality, 50mm lens, white background --ar 1:1 --style raw --v 6
#product#commercial#photo
Flux Photorealistic Product Shot
Fluxphotorealistic product photograph of [PRODUCT], natural window light, shallow depth of field, marble countertop, warm tones, shot on 50mm f/1.8, ultra detailed, no text
#product#photorealistic#commercial
Ideogram Poster Prompt
IdeogramA bold event poster for [EVENT NAME] on [DATE]. Large readable text saying '[EVENT NAME]'. Modern minimalist design, geometric shapes, vibrant accent color. No stock photos.
#poster#design#typography
Midjourney Logo Design Prompt
Midjourneyminimalist logo design for [BRAND NAME], [DESCRIBE INDUSTRY], geometric shapes, negative space, vector style, flat design, single color on white background, professional brand identity --no text --ar 1:1 --v 6
#logo#branding#design
Flux Styled Photography Prompt
Fluxprofessional [PRODUCT TYPE] product photography, [BACKGROUND DESCRIPTION], soft studio lighting from upper left, slight reflections, shot on Phase One IQ4, 80mm lens, f/8, high-key retouching, commercial advertising style
#photography#styled#commercial
Ideogram Typography Poster
Ideogramtypographic poster design, large bold text reading "[YOUR TEXT HERE]", [DESCRIBE THEME], letterform as visual element, high contrast, modern Swiss design influence, [COLOR PALETTE], print-ready
#typography#poster#text-art
Midjourney Architecture Visualization
Midjourneyarchitectural visualization of [BUILDING TYPE], [ARCHITECTURAL STYLE], integrated with landscape, golden hour lighting, realistic materials, people for scale, shot from [EYE LEVEL / AERIAL / WORM EYE], professional architectural rendering --ar 16:9 --v 6
#architecture#render#visualization
Flux Illustration Style Prompt
Fluxeditorial illustration for an article about [TOPIC], [ART STYLE: flat / isometric / line-art / watercolor / collage], [COLOR MOOD], metaphorical composition, no text, suitable for web article header, 16:9 aspect ratio
#illustration#art#editorial
Midjourney Character Sheet Prompt
Midjourneycharacter design sheet for [CHARACTER DESCRIPTION], multiple views (front, side, back, 3/4), full body turnaround, neutral pose, [STYLE: anime / realistic / stylized], clean reference background, character turnaround sheet, concept art --ar 16:9 --v 6
#character#concept-art#game-design
Midjourney Product Lifestyle
Midjourneylifestyle product photo of [PRODUCT] in [SETTING], natural lighting, authentic, 35mm, candid, commercial --ar 4:5 --style raw --v 6
#product
Midjourney Website Hero
Midjourneywebsite hero for [INDUSTRY], [COLORS], abstract geometric, corporate, gradient lighting, 3D render, minimal, no text --ar 16:9 --style raw --v 6
#website
Midjourney Social Graphic
Midjourneysocial graphic for [TOPIC], bold typography area, [COLORS], flat design, gradients, geometric, [STYLE] --ar 1:1 --v 6
#social
Midjourney Blog Illustration
Midjourneyeditorial illustration for [TOPIC], [STYLE: isometric/line-art/watercolor], [MOOD], metaphorical, clean bg --ar 16:9 --v 6
#blog
Midjourney Mood Board
Midjourneymood board for [PROJECT], [5 VIBE WORDS], textures, colors, typography, photography, swatches, cohesive --ar 4:3 --v 6
#mood-board
Flux Realistic Portrait
Fluxphotorealistic portrait of [SUBJECT], [AGE], [EXPRESSION], skin texture, [LIGHTING], 85mm f1.4, [BACKGROUND], editorial, high detail
#portrait
Flux Architecture Render
Fluxarchitectural visualization [BUILDING], [STYLE], [MATERIALS], [TIME] lighting, realistic shadows, landscape, people scale, ultra detailed
#architecture
Flux Food Photography
Fluxfood photography of [DISH], [PLATING], steam, [SURFACE], directional lighting, garnish, 100mm macro f4, appetizing, commercial
#food
ComfyUI Workflow Doc
ComfyUIDocument ComfyUI workflow: purpose, input requirements, node descriptions, output specs, issues, performance tips, variations. Workflow: [DESCRIBE]
#documentation
ComfyUI Batch
ComfyUIBatch workflow for [TASK]: input folder [N] images, steps [LIST], output _processed, skip+log errors, memory mgmt, progress. Node layout.
#batch
Stable Diffusion Photorealistic
Stable Diffusionphotorealistic [SUBJECT], [SCENE], [CAMERA/LENS], [LIGHTING], f/[APERTURE], high detail, sharp focus, natural colors. Negative: blurry, deformed, watermark.
#photorealistic
Stable Diffusion Anime
Stable Diffusionanime [SUBJECT], [POSE], [HAIR/CLOTHING], studio quality, detailed eyes, clean lineart, [COLORS], [BG], [LIGHTING], masterpiece
#anime
Canva Social Kit
Canva AISocial kit [BRAND]: IG post 1080x1080, story 1080x1920, Twitter 1500x500, LinkedIn 1200x1200, FB 1640x856. Colors: [LIST]. Style: [DESCRIBE].
#canva#social
Leonardo Game Asset
Leonardogame asset: [TYPE], [STYLE: pixel/3D/cartoon], [COLORS], front-facing, clean bg, game-ready, high detail, [GENRE] game style
#game#asset
Midjourney Character Design
Midjourneycharacter design sheet [CHARACTER DESCRIPTION]: front/side/back views, full body, neutral pose, [STYLE: anime/realistic/stylized], clean reference bg, concept art --ar 16:9 --v 6
#character#concept
Midjourney 3D Render
Midjourney3D render of [PRODUCT/SCENE], [COLORS], soft studio lighting, octane quality, clean bg, product photography, high detail --ar 1:1 --v 6
#3d#render
Midjourney Isometric
Midjourneyisometric illustration of [SCENE], [COLORS], clean lines, detailed, soft shadows, modern flat design --ar 16:9 --v 6
#isometric
Midjourney Watercolor
Midjourneywatercolor of [SUBJECT], soft brush strokes, [MOOD], bleeding edges, paper texture, traditional media --ar 4:3 --v 6
#watercolor
Midjourney Cinematic Scene
Midjourneycinematic scene [DESCRIPTION], dramatic lighting, [TIME], atmospheric, film still, [LENS], color grade [MOOD] --ar 21:9 --v 6
#cinematic
Midjourney Textile Pattern
Midjourneyseamless textile pattern [MOTIF], [COLORS], [STYLE: geometric/floral], repeating, design-ready --ar 1:1 --v 6
#pattern
Midjourney Storyboard
Midjourneystoryboard frame [SCENE], simple line art, character poses, camera angle, action notes --ar 16:9 --v 6
#storyboard
Midjourney Food Flat Lay
Midjourneyoverhead flat lay [FOOD] on [SURFACE], natural lighting, arranged, fresh, professional food photography --ar 1:1 --v 6
#food
Midjourney Architecture Night
Midjourneyarchitectural night shot [BUILDING], illuminated windows, [LIGHTING], dramatic sky, reflection --ar 16:9 --v 6
#architecture#night
Midjourney Fantasy Landscape
Midjourneyfantasy landscape [DESCRIPTION], [LIGHTING], epic scale, [COLORS], concept art quality, detailed, matte painting --ar 21:9 --v 6
#fantasy
Midjourney Product 360
Midjourneyproduct photography [PRODUCT] on [SURFACE], [BACKGROUND], studio lighting, 360 showcase, ultra clean --ar 1:1 --v 6
#product
Midjourney Infographic Background
Midjourneyabstract infographic background, [COLORS], geometric data viz elements, clean modern, text overlay space --ar 16:9 --v 6
#infographic
Midjourney B&W Portrait
MidjourneyB&W portrait [SUBJECT], [EXPRESSION], chiaroscuro, 85mm, deep shadows, fine art, film grain --ar 4:5 --v 6
#portrait#bw
Midjourney Abstract Gradient
Midjourneyabstract gradient [COLOR 1] to [COLOR 2], smooth, subtle texture, modern minimal, website hero suitable --ar 16:9 --v 6
#abstract#gradient
Midjourney Coin Design
Midjourneycoin design [THEME], [METAL], embossed details, [SYMBOL], clean rim, minting style, macro --ar 1:1 --v 6
#coin
Midjourney Book Cover
Midjourneybook cover [GENRE] [TOPIC], [MOOD], central imagery: [DESCRIBE], typography area, professional --ar 2:3 --v 6
#book#cover
Flux Interior Design
Fluxphotorealistic interior [ROOM], [STYLE], [COLORS], natural lighting, furniture: [DESCRIBE], real estate photography
#interior
Flux Product Mockup
Fluxproduct mockup [PRODUCT] on [DEVICE], realistic lighting, [BACKGROUND], brand styling, commercial quality
#mockup
Flux Fashion Lookbook
Fluxfashion lookbook [GARMENT], [MODEL], [POSE], [LIGHTING], [BACKGROUND], editorial fashion photography
#fashion
Flux Landscape Photography
Fluxlandscape photography [LOCATION], [TIME], [WEATHER], [SEASON], dramatic [ELEMENT], wide angle, professional
#landscape
Flux Abstract Art
Fluxabstract art [COLORS], [STYLE: geometric/organic], [TEXTURE], gallery quality, emotional depth, high resolution
#abstract
ChatGPT AI Art Prompt Improver
ChatGPTImprove AI art prompt: add art style references, lighting/atmosphere, composition guidance, technical specs, 3 variations. Original: [PASTE]
#art
AI Color Palette
AnyColor palette for [PROJECT]: primary, 2 secondary, 3 accents, backgrounds (light/dark), text colors, usage guidelines, contrast ratios. Mood: [DESCRIBE].
#color#design
AI Font Pairing
AnyFont pairings for [PROJECT]: heading font, body font, accent, weights, line-height, Google Fonts alternatives. Style: [MODERN/CLASSIC/MINIMAL].
#font
AI Thumbnail Concept
AnyYouTube thumbnail [TOPIC]: visual idea, text (5 words), color scheme, expression, background, layout, 3 variations.
#thumbnail
AI Instagram Grid Plan
AnyInstagram grid [BRAND]: aesthetic, 9-post cycle, mix (quotes/product/lifestyle/UGC/edu), color rotation, caption + hashtag strategy.
#instagram
AI Color Theory Guide
AnyColor theory for [PROJECT]: 1) Color wheel basics, 2) Scheme (mono/analogous/complementary/triadic), 3) 60-30-10 rule, 4) Psychology, 5. Accessibility.
#color#theory
AI Logo Concept
AnyLogo concept for [BRAND]: 5 ideas, each: style (wordmark/symbol/combination), color, meaning, scalability, applications. Brand: [DESCRIBE].
#logo
AI Brand Guidelines
AnyBrand guidelines: logo usage, color palette (with hex), typography, imagery style, tone of voice, do/dont examples. Brand: [DESCRIBE].
#branding
Midjourney Landscape
Midjourneylandscape photography [LOCATION] [TIME] [WEATHER], wide-angle, dramatic, reflections, long exposure --ar 16:9 --v 6
#landscape
Midjourney Studio Portrait
Midjourneystudio portrait [SUBJECT], three-point lighting, [COLOR] background, Hasselblad, 100mm, f2.8 --ar 4:5 --v 6
#portrait
Midjourney Product White
Midjourneyproduct [PRODUCT] on white, soft box lighting, Phase One, 80mm, f11, commercial --ar 1:1 --v 6
#product
Midjourney Architecture Day
Midjourneyarchitectural photography [BUILDING], blue sky, golden hour, glass facade, people scale --ar 16:9 --v 6
#architecture
Midjourney Fashion Editorial
Midjourneyfashion editorial [GARMENT], [MODEL], studio, dramatic, [COLOR] bg, Vogue style --ar 4:5 --v 6
#fashion
Midjourney Food Overhead
Midjourneyoverhead food [DISH] on [SURFACE], styled props, natural light, professional --ar 1:1 --v 6
#food
Midjourney Abstract 3D
Midjourneyabstract 3D render, [COLORS], organic shapes, octane, soft shadows --ar 16:9 --v 6
#abstract
Midjourney Typography Art
Midjourneytypographic art, text [YOUR TEXT], [FONT], 3D lettering, [COLOR] gradient, bold --ar 16:9 --v 6
#typography
Midjourney Cinematic Still
Midjourneycinematic still [SCENE], [MOOD], dramatic lighting, film grain, anamorphic --ar 21:9 --v 6
#cinematic
Midjourney Fantasy City
Midjourneyfantasy city [DESCRIPTION], [LIGHTING], epic scale, [ARCHITECTURE], atmospheric --ar 16:9 --v 6
#fantasy
Midjourney Character Sheet
Midjourneycharacter design [DESCRIPTION], [STYLE], front view, neutral pose, concept art --ar 1:1 --v 6
#character
Midjourney Geometric Logo
Midjourneygeometric logo [BRAND], minimalist, negative space, [COLOR], Swiss design --ar 1:1 --v 6
#logo
Midjourney Floral Pattern
Midjourneyfloral textile pattern, [FLOWERS], [COLORS], botanical, seamless repeat --ar 1:1 --v 6
#pattern
Midjourney Watercolor Portrait
Midjourneywatercolor portrait [SUBJECT], soft edges, bleeding colors, paper texture --ar 4:5 --v 6
#watercolor
Midjourney Cyberpunk
Midjourneycyberpunk [SCENE], neon lights, rain, reflections, blade runner aesthetic --ar 16:9 --v 6
#cyberpunk
Midjourney Minimalist Abstract
Midjourneyminimalist abstract, [COLOR 1] [COLOR 2], geometric shapes, negative space --ar 1:1 --v 6
#minimalist
Midjourney Vintage Poster
Midjourneyvintage travel poster [DESTINATION], Art Deco, [COLORS], bold typography --ar 2:3 --v 6
#vintage
Midjourney Surreal Landscape
Midjourneysurreal landscape [ELEMENTS], impossible geometry, [COLORS], dreamlike --ar 16:9 --v 6
#surreal
Midjourney Cozy Interior
Midjourneycozy interior [ROOM], warm lighting, [FURNITURE], plants, lifestyle --ar 4:3 --v 6
#interior
Midjourney Tech Render
Midjourneyproduct render [GADGET], [MATERIAL], studio lighting, minimal, Apple-style --ar 1:1 --v 6
#tech
Research
Gemini Research Summary
GeminiResearch [TOPIC] and provide: 1) A 3-paragraph summary, 2) 5 key findings with sources, 3) 3 counterarguments, 4) Recommended next steps. Cite all sources.
#research#summary#citations
Perplexity Research Prompt
PerplexityWhat are the top [NUMBER] [TOPIC] in 2026? For each, provide: name, key features, pricing, best use case, and a source link. Focus on tools available globally.
#research#sources#facts
Perplexity Fact-Check Prompt
PerplexityFact-check the following claims. For each claim, provide: 1) Verdict (True/False/Partially True/Unverified), 2) Evidence with sources, 3) Context missing from the original claim. Be rigorous and cite primary sources. [PASTE CLAIMS HERE]
#fact-check#verification#research
Perplexity Literature Review
PerplexityConduct a literature review on [TOPIC]. Provide: 1) Key findings from the last 5 years, 2) Consensus vs debated points, 3) Methodology trends, 4) Research gaps, 5) Recommended next steps for someone entering this field. Cite at least 10 peer-reviewed sources with DOIs.
#literature#review#academic
Perplexity Deep Dive Research
PerplexityConduct a deep-dive research report on [TOPIC/COMPANY/TECHNOLOGY]. Cover: 1) Background and history, 2) Current state, 3) Key players/stakeholders, 4) Technology/methodology overview, 5) Strengths and limitations, 6) Future outlook (12-36 months), 7) Resources for further learning. Prioritize primary sources over secondary commentary.
#research#deep-dive#comprehensive
Claude Research Synthesis
ClaudeSynthesize notes: 1) Key findings, 2) Patterns, 3) Contradictions, 4) Gaps, 5) Implications, 6) Next steps. Cite sources. [PASTE NOTES]
#synthesis
Perplexity Competitor Matrix
PerplexityCompetitor matrix [PRODUCT] vs [COMP1],[COMP2],[COMP3]: features, pricing, market, differentiators, weaknesses, news, reviews. Table with sources.
#competitor
Perplexity Trend Analysis
PerplexityAnalyze [INDUSTRY] trends as of [DATE]: what, why now, players, evidence, trajectory, implications. 5+ trends with citations.
#trend
Perplexity Fact-Check
PerplexityFact-check [CLAIM]: verdict (True/False/Misleading), accurate parts, misleading parts, evidence URLs, opposing evidence, context, better phrasing.
#fact-check
Perplexity Deep Research
PerplexityReport on [TOPIC]: exec summary, background, current state, players, technology, strengths/limits, regulations, future, funding, resources. Cite all.
#deep-dive
Grok Real-Time Research
GrokResearch [TOPIC] on X/Twitter now: top 5 opinions, common questions, sentiment, influencers, misinformation, gaps. Representative tweets.
#grok#realtime
Claude Questionnaire
ClaudeQuestionnaire for [GOAL] 10-15 Qs: 3 demographic, 5 behavioral, 3-5 attitudinal (Likert). Each: text, type, why, what reveals. No leading Qs. Target: [DESCRIBE].
#survey
ChatGPT Research Questions
ChatGPT[N] research questions [TOPIC] for [AUDIENCE]: open-ended, specific, rating scale, comparative, scenario-based. Each: why + what reveals.
#research
ChatGPT Research Twitter Thread
ChatGPT8-tweet thread [TOPIC]: 1(hook+claim), 2-6(evidence+sources), 7(implication), 8(CTA). Under 270 chars, data, sources.
#twitter#research
Claude Long Document Q&A
ClaudeAnswer questions about document: answer(2-3 sentences), quote, reference, confidence. If not found, say so. Questions: [PASTE] Document: [PASTE]
#document#qa
Claude Research Paper
ClaudeAnalyze paper: thesis, methodology, findings, limitations, significance, implications, questions, follow-up reading. [PASTE]
#paper
Claude Literature Review
ClaudeLiterature review [TOPIC]: intro, methodology, thematic analysis (group by theme), each (findings/debates/gaps), synthesis, research gaps, conclusion. [N] words.
#literature
Claude Policy Analysis
ClaudeAnalyze policy: what it requires(plain English), who affected, timeline, cost, implementation, mistakes, risk, comparison. [PASTE]
#policy
Claude User Research Synthesis
ClaudeSynthesize user research: themes(3-5), each(evidence/frequency/severity), quotes, pain points ranked, opportunities, recommendations. [PASTE]
#user-research
ChatGPT Argument Analysis
ChatGPTAnalyze argument: main claim, premises, logical structure, fallacies, counterarguments, stronger version. Argument: [PASTE]
#argument
ChatGPT Learning Style
ChatGPTLearning style analysis: visual/auditory/kinesthetic, best study methods, note-taking, memory techniques, schedule. Preferences: [DESCRIBE].
#learning
ChatGPT Debate Prep
ChatGPTDebate prep for [TOPIC], position [PRO/CON]: 3 strongest arguments each side, rebuttals, key data/sources, persuasive framing.
#debate
ChatGPT Reading List
ChatGPTReading list for [TOPIC]: 3 foundational, 3 intermediate, 3 advanced, 2 contrarian. Each: why it matters, key takeaway, reading order, time.
#reading
Claude Academic Abstract
ClaudeAbstract: background (2 sentences), research gap, methodology, key findings, significance, keywords (5). 250 words max. Formal style. Paper: [PASTE]
#academic
Claude Policy Brief
ClaudePolicy brief: exec summary, issue background, current situation (data), policy options (2-3), recommendation (with evidence), implementation. 2 pages. Audience: [DESCRIBE].
#policy
Claude Research Methodology
ClaudeResearch methodology for [QUESTION]: approach, data collection, sample, variables, analysis, validity, ethics, limitations. Question: [DESCRIBE].
#methodology
AI Survey Design
AnySurvey for [GOAL]: screening, 10-15 questions (mix types), skip logic, demographics, open-ended, completion time, analysis plan. Target: [DESCRIBE].
#survey
AI Customer Interview
AnyCustomer interview guide: opening, background, current behavior, problem exploration, solution feedback, closing. Each: why asking + what to listen for.
#interview
ChatGPT Curated Reading List
ChatGPT10 books for [GRADE/TOPIC]: title, author, level, summary, why recommended, discussion questions. Theme: [DESCRIBE].
#education
Claude Research Question
ClaudeRefine research question: specific enough? answerable? novel? significant? 3 alternative formulations. Question: [DESCRIBE].
#academic
Claude Citation Check
ClaudeCheck citations: format (APA/MLA/Chicago), missing info, DOI accuracy, in-text match, reference list completeness. [PASTE]
#academic
Claude Peer Review
ClaudePeer review: summary, strengths (3), weaknesses (3), minor issues, recommendation (accept/revise/reject), specific comments. [PASTE ABSTRACT]
#academic
AI Customer Research Plan
AnyCustomer research plan: 1) Objectives (3), 2) Method (interview/survey/observation), 3) Participants (10-15), 4) Discussion guide, 5. Timeline, 6. Budget, 7. Analysis method, 8. Output.
#customer#research
Claude Research Outline
ClaudeResearch outline for [TOPIC]: question, sub-questions (5), methodology, literature, data sources, analysis, expected findings.
#research
Claude User Research Plan
ClaudeUser research plan: questions (5), method, participants (8-10), discussion guide, timeline, budget, output. Goal: [DESCRIBE].
#user-research
Business
Cold Email Outreach Prompt
AnyWrite a cold email to [PERSON] at [COMPANY] about [PRODUCT/SERVICE]. Keep it under 100 words. Start with their specific pain point. End with a single clear CTA. No buzzwords.
#email#outreach#sales
Gemini Market Analysis Prompt
GeminiAnalyze the [INDUSTRY] market for [GEOGRAPHY]. Provide: 1) Market size and growth rate, 2) Top 5 competitors with strengths/weaknesses, 3) Key trends (next 12-24 months), 4) Customer pain points, 5) Regulatory considerations, 6) Recommended go-to-market strategy for a new entrant. Cite sources where possible.
#market#analysis#strategy
ChatGPT Competitor Analysis Prompt
ChatGPTConduct a competitive analysis for [YOUR PRODUCT] vs [COMPETITOR 1], [COMPETITOR 2], [COMPETITOR 3]. Create: 1) Feature comparison table, 2) Pricing comparison, 3) SWOT for each, 4) Positioning map axes suggestion, 5) 3 differentiation strategies, 6) Quick-win action items.
#competitor#analysis#strategy
ChatGPT Email Sequence Prompt
ChatGPTWrite a 5-email onboarding sequence for [PRODUCT/SERVICE]. Email 1: Welcome + quick win. Email 2: Core feature deep-dive. Email 3: Case study / social proof. Email 4: Advanced tip. Email 5: Conversion/push to action. For each: subject line (under 50 chars), preview text, body (under 150 words), CTA. Tone: [FRIENDLY / PROFESSIONAL / CASUAL].
#email#sequence#marketing
ChatGPT Product Description
ChatGPT3 product descriptions for [PRODUCT]: benefit/story/technical tone, 100-150 words, feature bullets, CTA, SEO for [KEYWORD].
#ecommerce
ChatGPT Instagram Caption
ChatGPT5 Instagram captions for [TOPIC]: hook, body lines, CTA, 10-15 hashtags, under 2200 chars. Voice: [DESCRIBE].
#instagram
ChatGPT Cold Email Subjects
ChatGPT20 cold email subject lines for [PRODUCT] to [AUDIENCE]: question, personalization, curiosity, benefit, pattern interrupt. Under 50 chars.
#email#subject
ChatGPT SWOT Analysis
ChatGPTSWOT for [COMPANY]: 3-5 items each (strengths/weaknesses/opportunities/threats). Each: point, evidence, implication. Table format.
#swot
Gemini Market Sizing
GeminiMarket size for [PRODUCT] in [GEO]: TAM (top-down+bottom-up), SAM, SOM, growth rate, assumptions, sources. Show work.
#market#tam
Gemini Content Calendar
Gemini4-week calendar for [BRAND]: daily topic, format, keyword, title, message, CTA. 40% edu, 30% engage, 20% promo, 10% BTS.
#content
Gemini Customer Persona
Gemini3 personas for [PRODUCT]: demographics, job, goals, pain points, sources, objections, channels, buying triggers. Real data based.
#persona
Copy.ai Ad Variations
Copy.ai15 ad variations for [PRODUCT] on [PLATFORM]: 5 headline, 5 benefit, 5 social-proof. Each: text, headline, desc, CTA. Under [LIMIT] chars. No clickbait.
#ads
Copy.ai Landing Page
Copy.aiLanding page [PRODUCT]: hero headline (10 words), subheadline, 3 benefits, social proof, 3 features, 3 FAQ objections, CTA. Tone: [DESCRIBE].
#landing
Quick Competitor Analysis
Any[YOUR PRODUCT] vs [COMPETITOR]: price, feature gap, audience, channels, their advantage, their weakness, your opportunity, threat (1-5). Table.
#competitor
Fireflies Sales Analysis
FirefliesAnalyze sales call: summary (2 sentences), pain points, objections+handling, features, buying signals, next steps, deal stage, coaching, follow-up email. [PASTE]
#sales
ChatGPT Twitter Thread
ChatGPT8-tweet thread [TOPIC]: Tweet 1=hook, under 270 chars each, line breaks, 1-2 examples, Tweet 7=insight, Tweet 8=CTA. Tone: [EXPERT/RELATABLE].
#twitter
ChatGPT Press Release
ChatGPTPress release [ANNOUNCEMENT]: headline(100 chars), lead paragraph, exec quote, details, second quote, company boilerplate, contact. Under 500 words.
#pr
Claude RFP Response
ClaudeRFP response [QUESTION]: restate, our approach (3-5 steps), differentiators, experience, risks+mitigation, timeline, pricing. Confident+specific.
#rfp
ChatGPT Job Description
ChatGPTJob desc [ROLE] at [COMPANY]: title+level, about us, what youll do (5-7 bullets), requirements (5-7), nice-to-have (3-5), benefits, remote/onsite. Welcoming tone.
#hr
ChatGPT Customer Journey
ChatGPTJourney map [PRODUCT]: Awareness/Consideration/Purchase/Onboarding/Usage/Advocacy. Each: goal, touchpoints, emotions, friction, opportunities, metric. Table.
#journey
ChatGPT Onboarding Emails
ChatGPT5-email onboarding [PRODUCT]: Day 0 welcome+win, Day 1 core feature, Day 3 use case, Day 7 advanced, Day 14 conversion. Subject(50 chars)+body(150 words)+CTA.
#onboarding
ChatGPT Social Calendar
ChatGPT7-day social calendar [BRAND] [PLATFORMS]: post type, topic, caption, hashtags, best time, CTA. 3 edu, 2 engage, 1 promo, 1 BTS. Voice: [DESCRIBE].
#social
ChatGPT RFP Summary
ChatGPTSummarize RFP [PASTE]: 1) Key requirements, 2) Evaluation criteria, 3) Submission deadline, 4) Must-haves vs nice-to-haves, 5) Budget if stated, 6) Our win themes, 7) Gaps/questions.
#rfp
ChatGPT Case Study
ChatGPTWrite case study [CLIENT+PRODUCT]: 1) Challenge, 2) Solution, 3) Implementation, 4) Results (metrics), 5) Quote, 6) Takeaways. 800 words. Professional tone.
#case-study
ChatGPT Product Positioning
ChatGPTPositioning [PRODUCT]: target customer, category, key benefit, differentiator, reason to believe. For [target], [product] is [category] that [benefit] because [reason].
#positioning
ChatGPT Cold Outreach Sequence
ChatGPT4-email cold sequence [PRODUCT] to [AUDIENCE]: 1)value+ask 2)social proof 3)pain+solution 4)break-up. Subject(50 chars), body(120 words), CTA.
#cold-outreach
ChatGPT Landing Page
ChatGPTLanding copy [PRODUCT]: hero(10 words), subheadline, 3 benefits, how it works(3 steps), social proof, pricing teaser, 3 FAQ, CTA.
#landing
ChatGPT Competitor Research
ChatGPTResearch [COMPETITOR]: overview, market, pricing, 5 features, 3 weaknesses, recent news, customer sentiment, differentiation opportunities.
#competitor
ChatGPT Brand Story
ChatGPTBrand story [COMPANY]: origin, problem, solution, mission, vision. Tone: [AUTHENTIC/INSPIRING]. [N] words.
#brand
ChatGPT Presentation Script
ChatGPT[MINUTES]-min presentation [TOPIC]: per slide (title, visual, script, transition). [N] slides. Audience: [DESCRIBE].
#presentation
ChatGPT Feedback Response
ChatGPTCustomer feedback response: acknowledge, apologize if needed, explain (no excuses), what we are doing, what to expect. Empathetic. [PASTE]
#feedback
ChatGPT Product Roadmap
ChatGPT6-month roadmap [PRODUCT]: quarterly themes, 3-5 features, dependencies, metrics, risks. Now/Next/Later. Table.
#roadmap
ChatGPT OKR Generator
ChatGPTOKRs [ROLE] [QUARTER]: objectives (inspiring), 3 key results each (measurable), confidence (0-1), stretch vs committed. Table.
#okr
Claude Statement of Work
ClaudeSOW [PROJECT]: overview, scope(deliverables), timeline, acceptance criteria, out of scope, payment schedule, assumptions, change process.
#sow
Claude RFP Response
ClaudeRFP response [PROJECT]: exec summary, understanding, approach, team, timeline, pricing, risk mitigation, differentiators, references, terms. RFP: [PASTE]
#rfp
Claude Competitive Intel
ClaudeCompetitive intel [COMPANY] vs [COMPETITORS]: moves(90 days), pricing, launches, leadership, funding, wins/losses, strengths/weaknesses, recommendations.
#competitive
Claude Board Memo
ClaudeBoard memo [TOPIC]: exec summary(3 sentences), background, situation(data), options(2-3 pros/cons), recommendation, financial impact, risks, timeline, decision needed.
#memo
AI OKR Generator
AnyOKRs [ROLE] [QUARTER]: objectives (inspiring), 3 key results each (measurable), confidence (0-1), stretch vs committed. Table.
#okr
AI Handoff Document
AnyProject handoff: overview, status, done, in-progress, next (roadmap), issues, contacts, access, ongoing tasks.
#handoff
AI Postmortem Template
AnyBlameless postmortem: summary, timeline, impact, root cause (5 whys), factors, well/wrong, action items, lessons, follow-up date.
#postmortem
AI Change Management
AnyChange mgmt [CHANGE]: what+why, who affected, comms plan, training, timeline, risks, metrics, rollback, recognition.
#change
AI Hiring Rubric
AnyInterview rubric [ROLE]: 5 competencies, behavioral Q+scoring(1-5), technical assessment, culture fit, red/green flags, decision matrix.
#hiring
AI Vendor Evaluation
AnyVendor eval [CATEGORY]: capability(30%), pricing(20%), support(15%), security(15%), integration(10%), references(10%). Score 1-5.
#vendor
AI Budget Request
AnyBudget request [ITEM]: what, why (business case), cost breakdown, alternatives, ROI (timeframe+metrics), risk of not approving. Amount: $[AMOUNT].
#budget
AI Stakeholder Comms
AnyStakeholder comms [PROJECT]: map, each (frequency, format, content, channel, owner), messages by phase, escalation path.
#stakeholder
AI Crisis Communication
AnyCrisis comms [SCENARIO]: summary, key messages(3), Q&A (anticipated+answers), notification order, channels, timeline, spokesperson, monitoring.
#crisis
AI 30-60-90 Plan
Any30-60-90 plan [ROLE]: Days 1-30(Learn: orientation, training), 31-60(Contribute: own tasks), 61-90(Lead: responsibility, goals).
#onboarding
AI Department OKRs
AnyQuarterly OKRs [DEPARTMENT]: objectives align to company goal. 3 key results each, owner, confidence. OKR tree.
#okr#department
AI Quarterly Planning
AnyQuarterly plan [TEAM]: theme, top 3 goals (metrics), initiatives, capacity, risks, dependencies, metrics, weekly milestones.
#quarterly
AI Customer Success Plan
AnyCustomer success [CUSTOMER]: profile+goals, usage, adoption gaps, milestones(30/60/90), cadence, expansion, renewal risk, advocacy.
#customer-success
AI Partner Outreach
AnyPartnership outreach [TARGET]: why (mutual benefit), who to contact, cold email, follow-up(3), meeting agenda, proposal, negotiation.
#partner
AI Renewal Strategy
AnyRenewal [CUSTOMER]: health(1-10), usage, value delivered, risks, upsell, stakeholders, timeline, negotiation, retention backup.
#renewal
AI Product Launch Plan
AnyProduct launch [PRODUCT]: goals, audience, messaging, channels, content, pricing, sales enablement, checklist, monitoring, rollback.
#launch
AI Customer Journey Map
AnyJourney [PRODUCT]: Awareness/Consideration/Purchase/Onboarding/Usage/Support/Renewal. Each: goal, touchpoints, emotions, friction, metric.
#journey
AI Pricing Strategy
AnyPricing [PRODUCT]: value metrics, models, competitor pricing, sensitivity, tiers(3), free tier, discount, annual vs monthly.
#pricing
AI Churn Analysis
AnyChurn [PRODUCT]: rate+trend, segments, reasons, lifecycle timing, predictors, retention by segment, win-back, success metrics.
#churn
AI Expansion Plan
AnyMarket expansion [PRODUCT] [NEW MARKET]: opportunity, competition, entry strategy, localization, timeline, resources, risks, metrics, budget.
#expansion
ChatGPT Personal Finance
ChatGPTFinance plan: monthly budget, debt payoff, emergency fund, investment basics, tax accounts, 30-day challenge. Income: $[AMOUNT]. Goals: [DESCRIBE].
#finance
ChatGPT Salary Negotiation
ChatGPTSalary negotiation script: opening, value proposition (data-backed), the ask, objection handling (3 scenarios), closing. Current: $[X]. Target: $[Y].
#negotiation
ChatGPT ATS Resume
ChatGPTOptimize resume for ATS: keyword analysis vs job, format check, action verbs, quantify achievements, skills section. Job: [PASTE] Resume: [PASTE]
#resume
ChatGPT Networking Email
ChatGPTNetworking email to [CONTACT TYPE]: personal opener, why reaching out, specific ask, value offer, clear CTA. Context: [DESCRIBE].
#networking
ChatGPT Side Hustle
ChatGPT10 side hustles: skills [DESCRIBE], time [HOURS/week], budget $[X], goal $[Y/month]. Each: startup cost, time to first $, scaling, risk.
#side-hustle
ChatGPT Content Audit
ChatGPTContent audit: SEO check, readability, structure, completeness, accuracy, engagement (hooks/CTAs). Content: [PASTE]
#seo
Claude Pitch Script
ClaudePitch script for [STARTUP]: problem(30s), solution(30s), market(30s), traction(30s), model(30s), team(15s), ask(15s). 3 min total. Data-driven.
#pitch
Claude Strategy Memo
ClaudeStrategy memo: market context, current position (data), options (3 with investment/return), recommended path, resources, risks, 12-month milestones. Company: [DESCRIBE].
#strategy
Claude Crisis Plan
ClaudeCrisis response plan: severity levels, response team, communication protocol, decision tree, resources, recovery steps, post-crisis review. Scenario: [DESCRIBE].
#crisis
Claude Due Diligence
ClaudeDue diligence: financials, market position, technology, team, legal/IP, customer concentration, growth, risks, valuation, recommendation. Data: [PASTE]
#due-diligence
AI Brand Naming
Any20 brand names for [PRODUCT]: 5 descriptive, 5 abstract, 5 compound, 5 evocative. Each: pronunciation, meaning, domain suggestion. Industry: [DESCRIBE].
#branding
AI Tagline Generator
Any15 taglines for [BRAND]: 5 benefit, 5 emotional, 5 clever. Each: why it works, audience appeal, cultural issues. Personality: [DESCRIBE].
#tagline
AI Mission Statement
Any5 mission statements for [ORG]: under 25 words, clear + inspiring, action-oriented, different from competitors. Purpose: [DESCRIBE].
#mission
AI Value Proposition
Any3 value props for [PRODUCT]: target customer, problem, unique benefit, why better, proof. For [target], [product] is [category] that [benefit] because [reason].
#positioning
AI Quick SWOT
AnyQuick SWOT: 3 strengths, 3 weaknesses, 3 opportunities, 3 threats. Each 1 sentence, actionable. Strategic insight from the 12 points.
#swot
AI PESTLE Analysis
AnyPESTLE for [BUSINESS]: Political, Economic, Social, Technological, Legal, Environmental. Each: 3 current, 1 emerging, 1 impact. Top 3 to monitor.
#pestle
AI Porter Five Forces
AnyFive Forces for [INDUSTRY]: rivalry, new entrants, supplier power, buyer power, substitutes. Each: high/med/low + why. Industry attractiveness + recommendations.
#porter
AI BCG Matrix
AnyBCG matrix for [PRODUCTS]: Stars, Cash cows, Question marks, Dogs. Each: strategy (invest/harvest/divest). Products: [LIST].
#bcg
AI User Persona
AnyUser persona for [PRODUCT]: name, demographics, goals(3), frustrations(3), behaviors, tech comfort, channels, buying triggers, quote. Data: [DESCRIBE].
#persona
AI Feature Prioritization
AnyRICE prioritization: Reach, Impact(1-3), Confidence(0-100%), Effort(weeks). Score = R*I*C/E. Rank all. Features: [PASTE LIST]
#prioritization
AI Competitor Matrix
AnyCompetitor matrix: 5 competitors, 8 criteria, score (1-5), weighted ranking, your position, gaps to exploit, threats. Industry: [DESCRIBE].
#competitor
AI Market Research Brief
AnyMarket brief: objectives(3), segments, key questions(10), methodology (qual+quant), sample, timeline, budget, deliverables, decision it informs.
#market
AI Pricing Experiment
AnyPricing experiment: hypothesis, 3 variants, traffic split, metrics (conversion/ARPU/churn), duration, segments, guardrails, success criteria, rollout.
#pricing
AI 30-Day Content Calendar
Any30-day calendar for [BRAND]: platform, content type (edu/entertain/promo), topic, format, CTA. 40% edu, 30% entertain, 20% promo, 10% UGC.
#content
AI SEO Audit
AnySEO audit: title tag (60 chars), meta (160), H1/H2, alt text, internal links, page speed, mobile, schema, content quality. Page: [DESCRIBE].
#seo
AI Keyword Strategy
AnyKeyword strategy for [TOPIC]: 10 primary (volume+difficulty), 20 long-tail, PAA questions, content mapping, internal linking, priority order.
#keywords
AI Link Building
AnyLink building for [SITE]: 10 target sites, outreach angle, content assets, guest post topics, resource pages, broken links, timeline. Site: [DESCRIBE].
#link-building
AI Social Strategy
AnySocial strategy for [BRAND]: 3 platforms, 4 content pillars, posting frequency, content types, engagement plan, growth tactics, metrics.
#social
AI Email Strategy
AnyEmail strategy: types (welcome/promo/content/transactional), segmentation, automation flows, frequency, subject line formula, metrics. Business: [DESCRIBE].
#email
AI Pitch Deck Outline
AnyPitch deck: title, problem, solution, market, product, traction, model, competition, team, financials, ask. Each slide: key message + visual. 10-12 slides.
#pitch
AI Financial Model
AnyFinancial model: revenue assumptions, cost structure, 12-month P&L, cash flow, break-even, sensitivity (best/base/worst), metrics (MRR/CAC/LTV/burn).
#financial
AI Investor Update
AnyMonthly investor update: one-sentence summary, metrics (MRR/growth/burn/runway), wins, challenges, asks, next month focus. Honest, concise, data-driven.
#investor
AI Hiring Process
AnyHiring process for [ROLE]: job description, sourcing, screening, interviews (3-4), assessment, decision criteria, onboarding. Level: [DESCRIBE].
#hiring
AI Performance Review
AnyPerformance review template: self-assessment, manager assessment (5 dimensions), 360 feedback, goal review, development plan, rating scale. Role: [DESCRIBE].
#performance
AI Product Spec
AnyProduct spec for [FEATURE]: problem, target users, user stories, functional requirements, non-functional, success metrics, timeline, risks, open questions.
#spec
AI Competitive Analysis
AnyCompetitive analysis for [YOUR PRODUCT] vs [COMPETITORS]: feature matrix, pricing, market position, strengths/weaknesses, differentiation strategy, action items.
#competitive
AI MVP Spec
AnyMVP spec for [PRODUCT]: core problem, minimum features (3-5), what to exclude, success criteria, 4-week timeline, tech stack, validation metrics.
#mvp
AI Go-to-Market Strategy
AnyGTM for [PRODUCT]: target segment, positioning, pricing, channels (3), 12-week timeline, marketing, sales process, metrics.
#gtm
AI Unit Economics
AnyUnit economics: revenue/user, CAC, LTV, gross margin, payback, contribution margin, break-even, sensitivity. Product: [DESCRIBE].
#finance
AI Churn Prediction
AnyChurn framework: definition, predictors (10), data sources, model, alert thresholds, intervention playbook, measurement.
#churn
AI NPS Analysis
AnyNPS: score breakdown, themes by segment, detractor root causes, promoter drivers, action plan, follow-up survey.
#nps
AI Customer Segmentation
AnySegmentation: criteria, 4-6 segments, each (size/value/needs/channels), target segment, strategy per segment.
#segmentation
AI Vendor RFP
AnyRFP for [CATEGORY]: requirements (must/should/could), evaluation criteria + weights, timeline, budget, contract terms, submission format.
#vendor
AI SLA Template
AnySLA for [SERVICE]: description, uptime target, response times (by severity), escalation, reporting, credits/penalties, exclusions.
#sla
AI Disaster Recovery
AnyDR plan: RTO/RPO, backup strategy, failover, data recovery, communication, testing schedule, roles + contacts. System: [DESCRIBE].
#disaster
AI Press Kit
AnyPress kit for [COMPANY]: 1) Company overview, 2) Fact sheet, 3) Bios, 4) Logo + brand assets, 5) Product screenshots, 6) Press releases, 7. Contact. Company: [DESCRIBE].
#press-kit
AI Case Study
AnyCase study for [CLIENT+PRODUCT]: 1) Challenge, 2) Solution, 3) Implementation, 4) Results (metrics), 5) Quote, 6. Takeaways. 800 words. Professional tone.
#case-study
AI Startup Metrics
AnyStartup metrics dashboard: 1) Activation rate, 2) Retention (D1/D7/D30), 3) Revenue, 4) Growth rate, 5) CAC, 6) LTV, 7) Burn, 8) Runway, 9. NPS. For each: formula, target, frequency.
#startup#metrics
AI Board Deck
AnyBoard deck (10 slides): 1) Summary, 2) Metrics dashboard, 3) Wins/challenges, 4) Financials, 5) Product roadmap, 6) Team, 7) Market, 8) Competition, 9) Risks, 10. Asks. Each: key message + data.
#board#presentation
AI User Story Mapping
AnyUser story map for [PRODUCT]: 1) User activities (horizontal), 2) Tasks under each (vertical), 3) MVP slice, 4) Releases (3-4), 5. Priorities. Format: ASCII grid.
#user-stories#agile
AI Sprint Planning
AnySprint plan for [DURATION]: 1) Sprint goal, 2) Capacity (hours), 3) Stories (with points), 4) Tasks breakdown, 5. Assignments, 6. Definition of Done, 7. Risks.
#sprint#agile
AI Content Strategy
AnyContent strategy for [BRAND]: 1) Goals, 2) Audience (3 personas), 3) Pillars (4), 4) Channels, 5) Calendar (12 weeks), 6) Production workflow, 7. Metrics, 8. Tools.
#content#strategy
AI SEO Strategy
AnySEO strategy for [SITE]: 1) Keyword research (20 primary + 50 long-tail), 2) Content gaps, 3) Technical audit, 4) On-page checklist, 5. Link building, 6. Local SEO, 7. Monitoring, 8. 90-day plan.
#seo#strategy
AI Digital Strategy
AnyDigital strategy for [BUSINESS]: 1) Current state, 2) Digital maturity, 3) Target state, 4) Roadmap (12 months), 5) Technology stack, 6. Team structure, 7. Budget, 8. KPIs.
#digital#strategy
AI Brand Strategy
AnyBrand strategy for [COMPANY]: 1) Brand purpose, 2) Values (5), 3) Personality (3 traits), 4) Positioning statement, 5) Voice, 6. Visual identity, 7. Touchpoints, 8. Guidelines.
#brand#strategy
AI Marketing Funnel
AnyMarketing funnel for [PRODUCT]: 1) Awareness, 2) Interest, 3) Consideration, 4) Intent, 5) Purchase, 6) Retention, 7) Advocacy. For each: channels, content, metrics, optimization.
#marketing#funnel
AI Growth Experiment
AnyGrowth experiment for [GOAL]: 1) Hypothesis, 2) Metric, 3) Variant design, 4) Sample size, 5) Duration, 6. Segments, 7. Success criteria, 8. Rollout plan, 9. Retro plan.
#growth#experiment
AI Deep Competitor Analysis
AnyDeep competitor analysis for [COMPETITOR]: 1) Product walkthrough, 2) Pricing, 3) Target customers, 4) Strengths (5), 5) Weaknesses (5), 6) Recent moves, 7) Customer reviews, 8. Strategy prediction.
#competitor#deep
AI Market Sizing Deep
AnyMarket sizing for [PRODUCT]: 1) TAM (top-down + bottom-up), 2) SAM, 3) SOM, 4) Growth rate, 5) Trends, 6. Segments, 7. Geographic, 8. Seasonality, 9. Barriers, 10. Sources.
#market#sizing
AI Startup Pitch Generator
AnyStartup pitch for [COMPANY]: 1) One-liner, 2) Problem (with data), 3) Solution, 4) Why now, 5) Market size, 6) Business model, 7) Traction, 8) Competition, 9) Team, 10. Ask. 3 minutes.
#pitch#startup
ChatGPT Monthly Budget
ChatGPTMonthly budget: income, fixed/variable expenses, savings, debt, discretionary. Table with amounts and percentages. Income: $[AMOUNT].
#budget
ChatGPT Business Plan
ChatGPTBusiness plan for [IDEA]: exec summary, problem, solution, market, model, competition, marketing, operations, financials, milestones.
#business-plan
ChatGPT Tax Prep
ChatGPTTax prep checklist: income documents, deductions, credits, filing status, deadlines, organization, common mistakes. Country: [DESCRIBE].
#tax
ChatGPT Debt Payoff
ChatGPTDebt snowball plan: list debts (balance/rate/min), order by balance, extra payment allocation, timeline, milestones. Debts: [PASTE]
#debt
ChatGPT Emergency Fund
ChatGPTEmergency fund plan: target (3-6 months), monthly savings, account type, timeline, what counts as emergency. Expenses: $[AMOUNT].
#savings
ChatGPT Retirement Planning
ChatGPTRetirement plan: target age, monthly savings needed, investment strategy, accounts, withdrawal, healthcare, estate. Age: [CURRENT].
#retirement
ChatGPT Coupon Strategy
ChatGPTMoney-saving strategy: where to find coupons, stacking, sales cycle, stock-up prices, apps, weekly routine. Category: [DESCRIBE].
#savings
ChatGPT Rental Listing
ChatGPTRental listing for [PROPERTY]: headline, description (3 paragraphs), feature highlights, neighborhood, CTA. Property: [DESCRIBE].
#rental
Claude Negotiation Email
ClaudeNegotiation email for [SITUATION]: collaborative opening, my position (data-backed), concession offer, ask, deadline, closing. Context: [DESCRIBE].
#negotiation
Claude Stakeholder Update
ClaudeStakeholder update: status (green/yellow/red), progress (3 wins), risks (2), asks (1-2), next steps. Data-first. Project: [DESCRIBE].
#stakeholder
Claude Product Requirements
ClaudeProduct requirements for [FEATURE]: user need, success metrics, functional (10), non-functional (5), constraints, questions. Feature: [DESCRIBE].
#requirements
Claude SaaS Metrics
ClaudeSaaS metrics: MRR/ARR, CAC, LTV, churn, NPS, activation, retention. Each: formula, source, target, frequency. Product: [DESCRIBE].
#saas
Claude Go-to-Market
ClaudeGTM strategy for [PRODUCT]: ICP, positioning, pricing, channels, content plan, sales process, metrics. Product: [DESCRIBE].
#gtm
Claude Board Update
ClaudeBoard update: headline metric, progress vs plan, wins (3), challenges (2), asks (1), next quarter focus. Company: [DESCRIBE].
#board
Claude Case Study
ClaudeCase study for [CUSTOMER]: challenge, solution, implementation, results (metrics), quote, takeaways. 800 words.
#case-study
AI Competitor Monitoring
AnyCompetitor monitoring: 5 competitors, what to track, cadence, tools, alert system, report format. Industry: [DESCRIBE].
#competitor
AI Keyword Research
AnyKeyword research for [TOPIC]: 10 seed, 20 long-tail, PAA questions, intent, difficulty, content mapping, priority order.
#keywords
AI Content Calendar
Any30-day calendar: daily topic, format, keyword, CTA. 40% edu, 30% engagement, 20% promo, 10% UGC. Brand: [DESCRIBE].
#content
AI Email Sequence
Any5-email sequence: welcome, value, social proof, urgency, CTA. Each: subject (50 chars), body (150 words), CTA. Purpose: [DESCRIBE].
#email
AI Landing Page
AnyLanding page for [PRODUCT]: hero, problem, solution, social proof, features, FAQ, pricing, final CTA. Product: [DESCRIBE].
#landing
AI Ad Copy
Any10 ad variations for [PRODUCT] on [PLATFORM]: 5 benefit, 3 social proof, 2 urgency. Headline, body, CTA. Under [N] chars.
#ads
AI Social Post
Any5 social posts for [TOPIC]: educational, entertaining, promotional, question, behind the scenes. Captions, hashtags, timing.
#social
AI Pricing Page
AnyPricing page: 3 tiers, feature comparison, FAQ, testimonial, CTA. Each tier: name, price, features, best for. Product: [DESCRIBE].
#pricing
AI Onboarding Flow
AnyOnboarding flow for [APP]: welcome, setup (3 steps), first value moment, tips, notifications, skip option. App: [DESCRIBE].
#onboarding
AI Churn Survey
AnyChurn survey: why leaving?, what liked?, what missing?, competitor?, NPS, win-back offer. Product: [DESCRIBE].
#churn
AI Referral Program
AnyReferral program: reward structure, flow, tracking, promotion, terms, metrics. Product: [DESCRIBE].
#referral
AI Persona Card
AnyPersona card for [SEGMENT]: demographics, goals (3), frustrations (3), behaviors, tech comfort, quote, channels. Segment: [DESCRIBE].
#persona
AI Journey Map
AnyJourney map: Awareness→Advocacy, each with goal, touchpoints, emotions, friction, opportunities, metrics. Product: [DESCRIBE].
#journey
AI Feature Spec
AnyFeature spec for [FEATURE]: user stories, acceptance criteria, mockups needed, API changes, timeline, risks. Feature: [DESCRIBE].
#spec
Legal
Claude Contract Analysis
ClaudeAnalyze this contract for: 1) Unusual clauses, 2) Missing standard protections, 3) Liability risks, 4) Termination conditions. Flag each issue with severity (low/medium/high). [PASTE CONTRACT HERE]
#legal#contract#analysis
Claude Contract Clauses
ClaudeExtract clauses, categorize RISK/STANDARD/UNUSUAL. Each: quote, category, explanation, recommendation. Table format. [PASTE CONTRACT]
#contract#legal
Claude Contract Summary
ClaudeSummarize contract: parties, agreements, payment, dates, termination, liability, unusual clauses(flag), risk. [PASTE]
#contract
Claude Patent Analysis
ClaudeAnalyze patent: what it covers(plain English), claims ranked, prior art, infringements, strengths/weaknesses, implications. [PASTE]
#patent
AI
Meta Prompt Engineering
ChatGPTI want to create a prompt for [TASK]. Help me design it by: 1) Defining the role the AI should play, 2) Specifying the exact output format, 3) Listing 3 constraints, 4) Providing 2 few-shot examples. Output the final prompt in a code block.
#prompt#engineering#meta
ChatGPT Prompt Chaining Strategy
ChatGPTDesign a 5-step prompt chain for [TASK DESCRIPTION]. For each step, provide: 1) The prompt itself, 2) What input it expects from the previous step, 3) What output it produces for the next step, 4) Quality check criteria. Ensure the chain builds progressively and each step output is verifiable before proceeding.
#prompt-chaining#workflow#strategy
Dify Chatbot System
DifyYou are [ROLE] for [COMPANY]. Capabilities: [LIST]. Limitations: [LIST]. Tone: [DESCRIBE]. Unknown: [PHRASE]. Rules: ask clarifying, concise, links, no fabrication.
#chatbot
Dify Workflow Chain
Dify[N]-step Dify workflow for [TASK]: Input [TYPE] -> Process -> Enhance -> Quality check (loop if <[THRESHOLD]) -> Output [FORMAT]. Include retry+errors+logging.
#workflow
HuggingFace Model Select
HuggingFaceRecommend HF model for [TASK]: type, language, size, fine-tuning, license, benchmarks, adoption, inference. Top 3 with trade-offs.
#model
AI Brainstorm
AnyBrainstorm [TOPIC]: 10 wild ideas, 10 practical, 5 incremental, 3 paradigm-shifting. Top 5: why works, risk, first test, resources.
#brainstorm
AI Decision Framework
AnyDecide [DESCRIBE]: weighted pros/cons, impact/effort, reversibility, worst/best case, regret test, missing info, recommendation+confidence.
#decision
AI Feedback Synthesis
AnySynthesize feedback by theme: quote, frequency, severity, action, owner, timeline. Top 3 priorities + 1 to ignore. [PASTE]
#feedback
AI Presentation Review
AnyReview outline: flow, hook (1-10), clarity, evidence, visual suggestions, pacing, engagement, weak slides, score + 3 improvements. [PASTE]
#presentation
AI Learning Path
AnyLearning path for [SKILL] [LEVEL], 8 weeks: prerequisites, weekly plan, free resources, exercises, projects, assessment, pitfalls, community. [HOURS/WEEK].
#learning
AI Interview Prep
AnyPrep for [JOB] at [COMPANY TYPE]: 10 questions, STAR answers, questions to ask, red flags, salary tips, 30-sec pitch, follow-up email. Background: [DESCRIBE].
#interview
AI Thread Summarizer
AnySummarize conversation: TL;DR (2 sentences), decisions, action items (owners), unresolved questions, links, next steps. [PASTE]
#summary
AI Skill Gap Analysis
AnyAnalyze skill gaps for [ROLE] targeting [GOAL]: 1) Required skills, 2) Current skills assessment, 3) Gaps (critical/moderate/nice), 4) Learning resources per gap, 5) 90-day plan, 6) Success metrics.
#skills#analysis
ChatGPT Chatbot Persona
ChatGPTChatbot persona [USE CASE]: name+personality(3 traits), tone, greeting, handling (greetings/complaints/unknown), do/dont, sign-off.
#chatbot
AI Prompt Pattern Library
AnyReusable prompt pattern [TASK]: name, when to use, template(with [PLACEHOLDERS]), filled example, variations, failure modes, tips, alternatives.
#prompt#pattern
AI Agent Design Doc
AnyAgent [USE CASE]: goal, tools, decision logic(flowchart), memory, error handling, human-in-loop, evaluation, cost/run, failure modes. Framework: [LANGGRAPH/CREWAI].
#agent
AI RAG System Design
AnyRAG [USE CASE]: sources, chunking(size+overlap), embedding, vector store, retrieval(semantic+keyword), reranking, context window, prompt, eval, cost/query.
#rag
AI Fine-Tuning Plan
AnyFine-tuning [MODEL] [TASK]: base model, data(size/format/quality), preparation, method(LoRA/full), hyperparams, evaluation, inference opt, cost, rollback.
#fine-tuning
AI Evaluation Framework
AnyEval [SYSTEM]: dimensions(accuracy/safety/helpfulness/latency/cost), test data, metrics(automated+human), rubric, baseline, regression, monitoring, reporting.
#evaluation
AI Safety Checklist
AnySafety [SYSTEM]: input validation(injection/jailbreak), output filtering(toxicity/PII/hallucination), bias, privacy, security, transparency, oversight, response.
#safety
AI MCP Server Design
AnyMCP server [CAPABILITY]: capability, tools(schemas), resources(URIs), prompts(templates), auth, error handling, testing, deployment, documentation.
#mcp
AI LLM Router Strategy
AnyLLM routing [APP]: task categories, model per category(+fallback), routing logic, cost optimization(cheap first), quality monitoring, latency, fallback chain, A/B.
#router
AI Workflow Orchestrator
AnyOrchestration: task decomposition, agent assignment, data flow, error handling+retry, parallelization, checkpoints+human review, timeout+budget, monitoring, output.
#orchestration
AI Conversation Design
AnyConversation [CHATBOT]: intents(list), each(triggers 5+/slots/response/follow-up), fallback, repair, escalation, personalization, tone guide, metrics.
#conversation
AI Agent Memory
AnyMemory architecture: short-term, long-term, episodic, semantic. Storage (vector/relational/graph), retrieval, forgetting. Agent: [DESCRIBE].
#agent
AI Multi-Agent System
AnyMulti-agent system: roles, communication, coordination (sequential/parallel/hierarchical), shared state, conflict resolution, failure, human-in-loop. Framework: [DESCRIBE].
#multi-agent
AI Tool Design
AnyTool for [AGENT]: name, input schema, output schema, error handling, rate limiting, auth, caching, testing, documentation. Framework: [OPENAI/MCP].
#tool
AI Prompt Chain
AnyPrompt chain for [TASK]: decompose into steps, prompt per step (input/output spec), quality gates, retry/fallback, context management, human review.
#prompt#chain
AI Eval Dataset Builder
AnyEval dataset for [SYSTEM]: categories (accuracy/safety/helpfulness/edge), 20 test cases each, expected outputs, scoring (0-5), adversarial, bias. System: [DESCRIBE].
#evaluation
AI Safety Policy
AnySafety policy: use cases (allowed/prohibited), data handling, human oversight, bias testing, incident response, transparency, audit, training. Org: [DESCRIBE].
#safety
AI LLM Evaluation
AnyEvaluate LLM for [USE CASE]: benchmarks, cost/1M tokens, latency, context window, fine-tuning, safety, recommendation.
#llm
AI Prompt Testing
AnyTest prompt: clarity, completeness, bias, edge cases, 10 test inputs, scoring rubric. Prompt: [PASTE].
#prompt
AI RAG Evaluation
AnyEvaluate RAG: retrieval accuracy, faithfulness, answer relevance, context recall, context precision, latency.
#rag
AI Agent Orchestration
AnyAgent orchestration: roles (3), task distribution, communication, state management, error recovery, human checkpoints, output format.
#agent
AI Embedding Strategy
AnyEmbedding strategy: model, dimension, chunk size, index type (HNSW/IVF), query (hybrid), re-ranking, cost. Use case: [DESCRIBE].
#embedding
AI Fine-Tuning Data Prep
AnyData prep for fine-tuning: format, cleaning, splits, balance, augmentation, quality criteria, size. Model: [DESCRIBE].
#fine-tuning
AI Inference Optimization
AnyOptimize inference: quantization (INT8/INT4), distillation, batching, caching, speculative decoding, hardware, cost vs latency.
#inference
AI Safety Classifier
AnySafety classifier: categories (toxicity/PII/harmful/legal), training data, model choice, threshold, human review, monitoring.
#safety
AI Conversation Flow
AnyConversation flow: intent map, slot filling, context management, fallback, escalation, error recovery, analytics. Chatbot: [DESCRIBE].
#conversation
AI Token Optimization
AnyToken optimization: prompt compression, context pruning, caching, model routing, batch API, streaming, cost estimate.
#token
AI Agent Tool Builder
AnyTool for [AGENT]: name, input schema, output schema, error codes, rate limits, auth, caching, tests. Agent: [DESCRIBE].
#agent#tool
AI Conversation Builder
AnyConversation flow for [CHATBOT]: intent map, decision tree, slot filling, fallback, escalation, analytics. Chatbot: [DESCRIBE].
#conversation
AI Prompt Evaluation
AnyEvaluate prompt: clarity (1-5), completeness, specificity, bias check, edge cases, 5 test inputs, improvements. Prompt: [PASTE]
#prompt#eval
AI LLM Comparison
AnyCompare [MODEL A] vs [MODEL B]: context window, cost/1M tokens, latency, quality (benchmarks), fine-tuning, safety, recommendation.
#llm
AI RAG Chunking
AnyChunking strategy for [DOCUMENTS]: chunk size, overlap, splitting method, metadata, embedding model, evaluation metrics.
#rag
AI Safety Guidelines
AnySafety guidelines for [SYSTEM]: allowed/prohibited use cases, input/output filters, human review, audit, incident response.
#safety
AI Multilingual Prompt
AnyAdapt prompt for [LANGUAGES]: translate instructions, adapt examples, handle cultural context, language-specific patterns. [PASTE]
#multilingual
AI Prompt Chain Builder
AnyPrompt chain for [COMPLEX TASK]: decompose steps, prompt per step, input/output spec, quality gates, retry, human review.
#prompt-chain
AI Agent Evaluation
AnyEvaluation framework for [AGENT]: test scenarios (10), success criteria, safety tests, cost tracking, latency, regression suite.
#agent#eval
AI Model Selection
AnyModel selection for [USE CASE]: requirements (latency/cost/quality), open vs API, fine-tuning, top 3 recommendations, trade-offs.
#model
AI Vector DB Comparison
AnyVector DB comparison: Pinecone, Weaviate, Qdrant, pgvector, Milvus. Each: features, scale, cost, latency, recommendation.
#vector-db
AI Cost Optimization
AnyCost optimization for [AI APP]: current spend, usage analysis, model routing, caching, batch API, token optimization, expected savings.
#cost
AI Architecture Design
AnyAI system architecture for [USE CASE]: components, data flow, model selection, inference optimization, monitoring, scaling, cost.
#architecture
AI Prompt Library Organizer
AnyOrganize prompt library: group by category, tag taxonomy, usage frequency, quality rating, improvements. Prompts: [PASTE]
#prompt#organize
Music
Suno Song Prompt
SunoAn upbeat indie folk song about [THEME], with acoustic guitar, hand claps, and a catchy chorus. Male vocals, warm production, 120 BPM, key of C major.
#music#song#lyrics
Suno Background Music Prompt
Sunoinstrumental background music, [lo-fi / ambient / corporate / cinematic], [DESCRIBE MOOD], soft dynamics, 120 BPM, no vocals, 3 minutes, suitable for [podcast / video / presentation] intro
#background#ambient#instrumental
Suno Brand Jingle Prompt
Sunocatchy 15-second brand jingle for [BRAND NAME] in [GENRE STYLE], upbeat, memorable melody, subtle brand mention, suitable for radio and social media ads, [INSTRUMENTATION PREFERENCE]
#jingle#brand#advertising
Suno Ambient Focus
Sunoambient focus music, no vocals, synth pads, piano, 60 BPM, lo-fi, 10 min, deep work, warm reverb, minimal melody
#ambient
Suno Corporate BGM
Sunouplifting corporate music, 120 BPM, electric guitar, soft drums, piano, positive, 3 min, demo video, no vocals
#corporate
Suno Podcast Intro
Sunopodcast intro, 15 sec, energetic, [GENRE], memorable hook, clean fade out, tech podcast, modern
#podcast#intro
Audio
ElevenLabs Narration Script
ElevenLabsIn a calm, professional narrator voice: Welcome to [PRODUCT NAME]. In the next 60 seconds, I'll show you how to [KEY BENEFIT]. First, [STEP 1]. Then, [STEP 2]. Finally, [STEP 3]. That's it. Try it now at [URL].
#narration#voiceover#tts
ElevenLabs Multilingual Narration
ElevenLabsCreate a narration script in [TARGET LANGUAGE] for a 2-minute product demo video. Translate the following English script naturally (not literally), adapting idioms and tone for local audience. Include pause markers [PAUSE] and emphasis markers *like this*. [PASTE ENGLISH SCRIPT]
#multilingual#voiceover#dubbing
ElevenLabs Character Voice Prompt
ElevenLabsWrite a 30-second character voiceover script for a [DESCRIBE CHARACTER: age, personality, setting]. Include voice direction notes: tone, pace, emotional beats, breathing pauses. The character is [SCENE CONTEXT]. End with a hook for the next scene. Use [BRACKET] for direction notes.
#character#voice-acting#game
ElevenLabs Audiobook
ElevenLabsAudiobook settings: Voice [DESCRIBE], stability=0.5, clarity=0.75, style=0.2. Script: [PAUSE] between paragraphs, *emphasis*, [CHAPTER] breaks. [PASTE 200 WORDS]
#audiobook
ElevenLabs Multi-Character
ElevenLabsFormat dialogue for multi-voice: speaker voice description, emotion tags, pacing [PAUSE 2s], SFX cues. Ready-to-record script. [PASTE DIALOGUE]
#character
ElevenLabs Tutorial Voice
ElevenLabs2-min tutorial voiceover for [TOPIC]: conversational, short sentences, [PAUSE] markers, *emphasis*, step-by-step, summary. Speed: 150 wpm.
#tutorial
AI Podcast Plan
AnyPodcast plan: concept, 10 episodes, format (interview/solo/panel), length, guest wishlist, equipment, distribution, monetization.
#podcast
AI Podcast Edit Guide
AnyPodcast edit guide: 1) Noise removal, 2) Volume leveling, 3) Cut filler words, 4) Add intro/outro, 5) Music, 6) Export, 7. Show notes.
#podcast-edit
Productivity
Gamma Presentation Prompt
GammaCreate a 10-slide product proposal for [PRODUCT]. Audience: [STAKEHOLDERS]. Include: problem, solution, market size, competitive landscape, go-to-market, pricing, team, timeline, ask. Keep each slide to 3 bullet points max.
#presentation#slides#proposal
Claude Meeting Notes Summary
ClaudeConvert the following meeting transcript into structured notes with: 1) Attendees, 2) Key decisions, 3) Action items (with owner + deadline), 4) Parking lot items, 5) Next meeting agenda. Keep it concise. [PASTE TRANSCRIPT HERE]
#meeting#notes#summary
Gamma Pitch Deck Prompt
GammaCreate a 12-slide startup pitch deck for [COMPANY DESCRIPTION]. Slides: 1) Title, 2) Problem, 3) Solution, 4) Market Size (TAM/SAM/SOM), 5) Product Demo, 6) Business Model, 7) Traction, 8) Competition, 9) Team, 10) Financials, 11) Ask, 12) Contact. Each slide: 1 key message + 3 bullet points max.
#pitch#presentation#startup
Gamma Course Lesson Prompt
GammaCreate a 15-slide interactive lesson on [TOPIC] for [AUDIENCE LEVEL: beginner / intermediate / advanced]. Structure: 1) Hook/attention grabber, 2) Learning objectives, 3) Core content (8-10 slides with one concept each), 4) Check for understanding (2 quiz slides), 5) Summary, 6) Further resources. Include speaker notes for each slide.
#education#lesson#course
ChatGPT Meeting Agenda
ChatGPTAgenda for [TYPE] with [N] people, [DURATION] min: objective, pre-reads, time-boxed items, decisions, action template, parking lot.
#meeting
Gamma Quarterly Report
Gamma10-slide quarterly report: title, exec summary, revenue, wins, challenges, customers, team, next quarter, risks, Q&A. Data: [METRICS].
#report
Gamma Webinar Deck
Gamma15-slide webinar [TOPIC]: hook, agenda, problem, solution, demo, pricing, Q&A, CTA. Speaker notes with timing.
#webinar
Gamma Onboarding
Gamma12-slide onboarding: welcome, mission, org, first week, tools, team, policies, benefits, 30/60/90, resources, FAQ, welcome.
#onboarding
Notion AI Summary
Notion AISummarize page: 1) TL;DR, 2) 5 bullets, 3) Action items (owner+deadline), 4) Related pages, 5) Tags, 6) Next steps. [PASTE]
#notion
Notion AI Database
Notion AINotion DB for [USE CASE]: name+icon, 8+ properties (name/type/desc), views (table/board/calendar), template, examples, automations.
#database
AI Project Breakdown
AnyBreak down [PROJECT]: task name, description, hours, dependencies, priority, owner, definition of done. Phases + timeline + critical path + risk.
#project
n8n Documentation
n8nDocument n8n workflow for non-technical: what it does, when runs, step-by-step plain English, data flow, credentials, errors, modifications, troubleshooting.
#n8n#doc
n8n Error Handling
n8nError handling for n8n [DESCRIBE]: retry (3x backoff), fallbacks, Slack notification, dead letter queue, idempotency, audit logging, recovery.
#n8n#errors
Otter Meeting Notes
OtterFormat transcript: metadata, agenda, decisions (decider), action items (owner+deadline), parking lot, next meeting, questions. Markdown. [PASTE]
#otter#meeting
Claude Meeting Prep
ClaudePrepare for meeting [DESCRIBE]: 1) My objectives, 2) Likely topics+my position, 3) Counterarguments, 4) Data needed, 5) Questions to ask, 6) Bottom line, 7) Follow-up actions.
#meeting
ChatGPT Standup Notes
ChatGPTFormat notes into standup: Yesterday(bullets), Today(bullets), Blockers(with helper), Notes. Under 100 words. [PASTE]
#standup
ChatGPT Slack Summary
ChatGPTSummarize Slack thread: topic(1 sentence), key points, decisions, action items(owners), questions, next steps. [PASTE]
#slack
Claude Postmortem
ClaudePostmortem: summary(1 paragraph), timeline, impact, root cause(5 whys), factors, well/wrong, action items(owner+deadline). [PASTE]
#incident
AI Meeting Facilitation
AnyFacilitation [MEETING TYPE]: prep, opening (icebreaker+agenda), discussion (timeboxed), decision method, documentation, closing, follow-up.
#meeting
AI Time Audit
AnyAnalyze time log: by category(%), deep vs shallow, meeting vs solo, energy alignment, top 3 wasters, recommendations, ideal week. [PASTE LOG]
#time
AI SOP Writer
AnySOP [PROCESS]: purpose, scope, prerequisites, step-by-step, decision points, quality checks, troubleshooting, revision history.
#sop
AI Workflow Automation
AnyAnalyze workflow for automation: steps map, time per step, automation potential, tools, savings, ROI, implementation plan. Workflow: [DESCRIBE].
#workflow
AI Knowledge Base
AnyKB [TEAM]: categories(5-7), sub-categories, templates, tagging, search, access control, maintenance, contribution guidelines.
#knowledge-base
AI Process Improvement
AnyImprove process (lean): value stream map, waste(8 types), bottlenecks, root causes, future state, actions (impact/effort), metrics, timeline.
#process
AI Document Template
AnyTemplate [DOCUMENT TYPE]: structure, each section (purpose, content, example), placeholders, formatting, required vs optional, checklist.
#template
AI Checklist Creator
AnyChecklist [PROCESS]: pre-task checks, steps (ordered), quality checks, post-task verification, common mistakes, escalation triggers.
#checklist
AI Email Template Pack
AnyEmail templates [ROLE]: introduction, follow-up, request, update, apology, celebration, resignation, welcome. Each: subject+body+[PLACEHOLDERS].
#email
AI Agile Retrospective
AnyRetrospective [SPRINT]: what went well(3-5), improvements(3-5), action items(SMART+owner), health(1-5: trust/comm/velocity/quality), commitments.
#retro
AI Task Prioritization
AnyPrioritize tasks: impact/effort matrix, Eisenhower, dependencies, energy, recommended order, delegate, drop, schedule. Tasks: [PASTE]
#prioritization
AI Status Report Template
AnyStatus report [PROJECT]: health(green/yellow/red), progress(bullets), metrics(vs target), risks, next week, decisions, asks. 1-page.
#status
AI Meeting Design
AnyMeeting formats [TEAM]: standup(10m), weekly(30m), sprint planning(2h), retro(1h), 1:1(30m), all-hands(30m). Each: purpose, agenda, output, async alt.
#meeting
AI Knowledge Transfer
AnyKnowledge transfer [PERSON LEAVING]: what they know, relationships, projects, context, documentation, shadowing, handoff sessions, support, checklist.
#knowledge-transfer
AI Workspace Setup
AnyWorkspace [ROLE]: physical (desk, monitor, chair, lighting), digital (tools, shortcuts), file org, comms, focus, ergonomics, stack, routine.
#workspace
ChatGPT Travel Itinerary
ChatGPT[N]-day itinerary for [DESTINATION]: morning/afternoon/evening activities, costs, transport, restaurants, weather. Budget: [BACKPACKER/MID/LUXURY].
#travel
ChatGPT Workout Plan
ChatGPT[N]-week plan for [GOAL]: exercises with sets/reps, rest, warm-up/cool-down, progression. Level: [BEGINNER/ADVANCED]. Equipment: [DESCRIBE].
#fitness
ChatGPT Meal Prep
ChatGPTWeekly meal prep: 5 lunches + 5 dinners, grocery list by aisle, batch prep instructions, storage, reheating. Calories: [TARGET]. Budget: $[AMOUNT].
#meal-prep
ChatGPT Date Ideas
ChatGPT10 date night ideas for [COUPLE TYPE]: activity, cost, location, what to bring, conversation starter. Budget: $[X]. Vibe: [DESCRIBE].
#dating
ChatGPT Habit Tracker
ChatGPTHabit system: 5 keystone habits, tracking method, rewards, accountability, review cadence, failure recovery. Goals: [DESCRIBE].
#habits
ChatGPT Gift Guide
ChatGPT10 gifts for [RECIPIENT]: why it fits, where to buy, personalization, backups. Budget: $[X]. Interests: [DESCRIBE].
#gift
ChatGPT SMART Goals
ChatGPTSMART goals for [AREA]: specific, measurable, achievable, relevant, time-bound. Break into monthly milestones, weekly actions, daily habits.
#goals
ChatGPT Sprint Retrospective
ChatGPTSprint retrospective: what went well, improvements, commitments, action items (SMART+owner), team health (trust/speed/quality/comm). Sprint: [DESCRIBE].
#agile
ChatGPT Difficult Conversation
ChatGPTPrepare for difficult conversation with [PERSON]: my goal, their perspective, opening statement, key points, handling defensiveness, compromises. Situation: [DESCRIBE].
#communication
ChatGPT Sleep Optimization
ChatGPTSleep optimization: ideal schedule, pre-sleep routine (90 min), bedroom checklist, disruptors to fix, nap strategy, tracking. Issues: [DESCRIBE].
#sleep
ChatGPT Digital Minimalism
ChatGPTDigital minimalism: apps to limit, notification audit, screen time goals, replacement activities, weekly review, social media strategy. Usage: [DESCRIBE].
#minimalism
ChatGPT Event Planning
ChatGPTEvent checklist for [TYPE]: 8 weeks, 4 weeks, 1 week, day of, post-event. Each phase: tasks, owner, deadline, budget. Budget: $[AMOUNT].
#event
Claude Pep Talk
ClaudeMotivational message for [PERSON/TEAM] facing [CHALLENGE]: acknowledge difficulty, remind of past wins, reframe as opportunity, next step, confidence. 200 words.
#motivation
Claude Process Design
ClaudeProcess design: process map, inputs/outputs, RACI, quality gates, metrics (lead/cycle/throughput), failure modes, automation opportunities. Workflow: [DESCRIBE].
#process
AI Training Plan
AnyTraining plan for [SKILL]: objectives(5), prerequisites, 8-week schedule, resources (free), exercises, assessment, milestone. Level: [BEGINNER/INTERMEDIATE].
#training
AI Project Charter
AnyProject charter: name, description, goals (3), scope (in/out), timeline, budget, roles, stakeholders, risks, success criteria.
#project
AI Work Breakdown
AnyWBS for [PROJECT]: phases with tasks. Each: ID, name, duration, dependencies, owner, deliverable. Critical path + milestones.
#wbs
AI Risk Register
AnyRisk register: 10 risks, each: description, probability (1-5), impact (1-5), score, mitigation, owner, status, trigger. Table format.
#risk
AI Comms Plan
AnyComms plan: stakeholders + info needs, message matrix, channels, frequency, owner, escalation, feedback mechanism.
#communications
AI Lessons Learned
AnyLessons learned: what went well (5), improvements (5), insights (3), action items, knowledge transfer, process improvements.
#lessons
AI Decision Log
AnyDecision log: date, decision, context, options, rationale, decided by, reversible?, review date. Table format.
#decisions
AI Time Zone Planner
AnyMeeting across time zones: participants + locations, converter, best overlap windows, rotation, async alternative, recording policy.
#timezone
AI Project Kickoff
AnyKickoff agenda: welcome+intros (10m), project overview (15m), goals+scope (15m), roles (10m), timeline (10m), Q&A (20m).
#kickoff
AI Impact Effort Matrix
AnyImpact/effort: list tasks, score impact (1-5), score effort (1-5), plot matrix, quick wins, big bets, fill-ins, time sinks.
#matrix
AI Runbook Template
AnyRunbook for [PROCESS]: overview, prerequisites, step-by-step, common issues + fixes, escalation, verification, rollback.
#runbook
ChatGPT Todo List
ChatGPTPrioritized todo list for [PROJECT]: tasks ranked, time estimates, dependencies, quick wins first, deep work blocks. Format: checkbox list.
#todo
ChatGPT Weekly Meal Plan
ChatGPT7-day meal plan: breakfast/lunch/dinner/snacks. Calories: [TARGET]. Dietary: [DESCRIBE]. Include grocery list and prep instructions.
#meal
ChatGPT Vacation Planner
ChatGPT[N]-day vacation plan for [DESTINATION]: itinerary, budget, booking checklist, packing list, local tips, emergency info. Budget: $[AMOUNT].
#travel
ChatGPT Grocery List
ChatGPTGrocery list from meal plan: organized by aisle, quantities, estimated cost, alternatives, notes on sales. Meals: [PASTE]
#grocery
ChatGPT Party Planning
ChatGPTParty plan for [TYPE] [N] guests: theme, timeline, food/drinks, activities, decorations, playlist, budget. Budget: $[AMOUNT].
#party
ChatGPT Garden Planning
ChatGPTGarden plan for [SPACE] [CLIMATE]: plants by season, layout, soil prep, planting schedule, watering, pest control, harvest timeline.
#garden
ChatGPT Fitness Plan
ChatGPT12-week fitness plan for [GOAL]: weekly schedule, progressive overload, nutrition, recovery, tracking, milestones. Level: [DESCRIBE].
#fitness
ChatGPT Wardrobe Planner
ChatGPTCapsule wardrobe for [SEASON]: 30 pieces, color palette, 20 outfit combos, shopping list, care guide. Budget: $[AMOUNT].
#fashion
ChatGPT Moving Checklist
ChatGPTMoving checklist: 8 weeks, 4 weeks, 2 weeks, 1 week, moving day, after move. Tasks, timeline, contacts, budget.
#moving
ChatGPT Puppy Training
ChatGPT8-week puppy training: basic commands, house training, socialization, crate training, leash walking, problem behaviors. Age: [MONTHS].
#pet
ChatGPT Doctor Visit Prep
ChatGPTDoctor visit prep: symptoms description, 10 questions, medication list, what to bring, follow-up plan. Condition: [DESCRIBE].
#medical
Claude Meeting Minutes
ClaudeMeeting minutes from transcript: metadata, agenda, decisions, action items (owner+deadline), parking lot, next meeting. [PASTE]
#minutes
Claude Project Kickoff
ClaudeProject kickoff: overview, goals (3), scope, timeline, roles (RACI), risks, communication plan, success criteria. Project: [DESCRIBE].
#kickoff
Claude Retrospective
ClaudeRetrospective: what went well (3), improvements (3), action items (SMART+owner), experiments, team health. Sprint: [DESCRIBE].
#retro
Claude Onboarding Doc
ClaudeOnboarding doc for [ROLE]: day 1 checklist, week 1 plan, tools/accounts, contacts, docs to read, first task, 30-day goals.
#onboarding
Claude Offboarding
ClaudeOffboarding checklist: knowledge transfer, access revocation, equipment return, documentation handoff, exit interview, final tasks.
#offboarding
AI Todo List Generator
AnyPrioritized todo list for [PROJECT]: tasks ranked, time estimates, dependencies, quick wins first. Checkbox list format.
#todo
Data
ChatGPT Data Analysis Prompt
ChatGPTAnalyze this dataset and provide: 1) Key statistics (mean, median, std dev), 2) 3 notable trends or patterns, 3) 2 anomalies or outliers, 4) A recommended visualization. Format as a brief report. [PASTE DATA HERE]
#data#analysis#insights
ChatGPT SQL Query Builder
ChatGPTWrite an optimized SQL query for: [DESCRIBE WHAT YOU NEED]. Schema: [PASTE TABLE STRUCTURE OR DDL]. Requirements: 1) Use proper indexes, 2) Avoid SELECT *, 3) Add comments explaining each clause, 4) Provide an alternative using a CTE or window function if applicable, 5) Note potential performance issues.
#sql#database#query
Gemini Data Insights Prompt
GeminiAnalyze the following data and provide actionable insights. Structure your response as: 1) Executive summary (3 sentences max), 2) Key metrics with context, 3) Trends and anomalies, 4) Root cause hypotheses, 5) 3 recommended actions with expected impact. Be specific to the data, not generic. [PASTE DATA / CSV / TABLE]
#data#insights#analysis
Claude Data Extraction
ClaudeExtract structured JSON from text. Fields: [FIELD1,FIELD2]. Not found = null. Multiple records = array. No explanation. [PASTE TEXT]
#extraction#json
ChatGPT Spreadsheet Formula
ChatGPTFormula for [CALCULATION], data in [LAYOUT]: exact formula, explanation, error handling, alternative. Software: [EXCEL/SHEETS].
#excel
Gemini Data Visualization
GeminiBest viz for [DATA]: chart type+why, config, alternatives, mistakes, Python/JS code, interpretation. Columns: [DESCRIBE].
#visualization
HuggingFace Dataset Prep
HuggingFacePrep dataset for [TASK]: format, cleaning, splits, label distribution, augmentation, upload to HF, loading code, pitfalls. Data: [DESCRIBE]
#dataset
Claude Data Pipeline
ClaudePipeline [USE CASE]: sources, ingestion, transformation, storage, quality, monitoring, failure handling, cost, scalability. ASCII diagram.
#pipeline
AI Data Cleaning
AnyData cleaning [DATASET]: quality (completeness/accuracy), missing strategy, outliers, standardization, deduplication, validation, script (Python/SQL).
#data#cleaning
AI Dashboard Design
AnyDashboard [AUDIENCE]: metrics(top 5), layout(F-pattern), chart types, filters, drill-downs, colors(accessible), refresh, mobile. Tool: [DESCRIBE].
#dashboard
AI A/B Test Design
AnyA/B test [HYPOTHESIS]: hypothesis, primary+secondary metrics, sample size, duration, traffic split, guardrails, statistical method, decision, rollout.
#ab-testing
AI SQL Optimization
AnyOptimize SQL: execution analysis, indexes, joins, subquery to CTE, partitioning, materialized views, optimized query, improvement. [PASTE SQL]
#sql
AI Data Governance
AnyGovernance [ORG]: classification (public/internal/confidential), roles (owner/steward/custodian), quality, access, retention, privacy (GDPR), audit, response.
#governance
AI ML Model Spec
AnyModel spec [TASK]: problem type, features, target, candidates(3), metrics, splits, hyperparameters, deployment, monitoring. Task: [DESCRIBE].
#ml
AI Data Pipeline Architecture
AnyPipeline: sources, ingestion(batch/streaming), staging, transforms, warehouse, quality, orchestration(Airflow), monitoring, cost, scalability. ASCII diagram.
#pipeline
AI Metrics Framework
AnyMetrics [PRODUCT]: North Star(1), input(3-5 leading), output(3-5 lagging), guardrails(3). Each: definition, formula, source, frequency, target, owner. Dashboard.
#metrics
AI Data Migration
AnyMigration [OLD] to [NEW]: profiling, schema mapping, transformations, strategy(big bang/phased/parallel), quality checks, rollback, cutover, validation.
#migration
AI Exploratory Data Analysis
AnyEDA [DATASET]: overview(shape/types/missing), univariate(distributions), bivariate(correlations), outliers, feature engineering, hypotheses, 5 charts, next steps. Python snippets.
#eda
AI Experiment Design
AnyExperiment for [HYPOTHESIS]: variables, control, sample size (power), duration, randomization, metrics, success/failure criteria. Hypothesis: [DESCRIBE].
#experiment
AI A/B Test Analysis
AnyAnalyze A/B test: significance (p-value), effect size, confidence interval, sample adequacy, segments, practical vs statistical significance, recommendation. Data: [PASTE]
#ab-testing
AI Data Viz Design
AnyBest viz for [DATA]: data type, recommended chart + why, alternatives, color strategy (accessible), annotations, interactivity, common mistakes.
#visualization
AI Dashboard Metrics
AnyDashboard metrics for [USE CASE]: North Star, leading(3-5), lagging(3-5), guardrails(3). Each: definition, formula, source, frequency, target, owner. Alerts.
#dashboard
AI Data Quality
AnyData quality: completeness, accuracy, consistency, timeliness, validity, uniqueness. Each: measurement, threshold, alert. Dataset: [DESCRIBE].
#data-quality
AI ML Pipeline
AnyML pipeline for [MODEL]: ingestion, preprocessing, feature engineering, training, validation, deployment, monitoring (drift), retraining. Frequency: [BATCH/REAL-TIME].
#ml
AI Report Generator
AnyReport from data: exec summary, key findings (5), charts needed, recommendations, appendix. Data: [PASTE]
#report
AI SQL Query Builder
AnySQL query for [REQUIREMENT]: tables, joins, WHERE, GROUP BY, HAVING, ORDER BY, optimization tips. Requirement: [DESCRIBE].
#sql
AI Pipeline Architecture
AnyData pipeline: sources, ingestion, processing, storage, quality checks, orchestration, monitoring, cost. Use case: [DESCRIBE].
#pipeline
AI ML Experiment
AnyML experiment for [HYPOTHESIS]: data prep, feature engineering, model selection (3), training, evaluation, comparison, recommendation.
#ml
AI A/B Test Creator
AnyA/B test for [HYPOTHESIS]: variants, sample size, duration, metrics, guardrails, success criteria, rollout plan.
#ab-test
AI Data Quality Rules
AnyData quality rules for [DATASET]: completeness, uniqueness, validity, consistency, accuracy, timeliness. Each: rule, threshold, action.
#data-quality
AI ETL Specification
AnyETL spec for [PIPELINE]: source schema, transformations, target schema, schedule, error handling, lineage, quality checks.
#etl
AI MLOps Pipeline
AnyMLOps pipeline for [MODEL]: data versioning, training, validation, registry, deployment, monitoring (drift), retraining trigger.
#mlops
AI Feature Store
AnyFeature store for [USE CASE]: definitions, online/offline split, freshness, consistency, backfill, monitoring. Use case: [DESCRIBE].
#feature-store
Video
Kling Chinese Video Prompt
Kling一段电影感的短片:[描述场景],日落光线,慢动作,电影调色,10秒
#video#chinese#cinematic
Kling Product Demo Video Prompt
Kling5-second product demo video: [PRODUCT NAME] on a clean surface, camera slowly orbits around the product, soft studio lighting, shallow depth of field, [BACKGROUND COLOR] backdrop, product details visible, professional commercial quality
#product#demo#commercial
Kling Text Animation Video Prompt
Klingkinetic typography animation, text reading "[YOUR MESSAGE]", [COLOR SCHEME] background, smooth motion transitions, professional motion graphics style, 5 seconds, suitable for social media intro/outro, dynamic camera movement
#animation#text#motion-graphics
Runway Text to Video
Runway[SCENE]. Camera: [STATIC/PAN/ZOOM]. Duration: [SEC]. Style: [REALISTIC/CINEMATIC]. Lighting: [DESCRIBE]. Mood: [DESCRIBE]. High detail, smooth.
#generation
Runway Image to Video
RunwayAnimate [DESCRIBE IMAGE]: subject motion [DESCRIBE], camera [ZOOM/ORBIT], bg motion, duration [SEC], style [NATURAL/STYLIZED]. Keep composition.
#animation
Kling Product Spin
Kling3-sec product video: [PRODUCT] on [SURFACE], camera 360 rotation, studio lighting, [BG] backdrop, details visible, commercial quality
#product
Kling Text Reveal
Kling5-sec kinetic text: [TEXT] letter by letter, [FADE/SLIDE/SCALE], [COLOR] bg, smooth easing, motion graphics, social intro
#text
Pika Meme Animation
Pikaanimate meme [DESCRIBE]: subtle motion on [ELEMENT], rest static, [EFFECT], 3 sec, funny, shareable
#meme
Luma Dream Machine
Luma[DREAMLIKE SCENE], surreal transitions, [COLORS], floating elements, gravity distortion, [MOOD], smooth camera, 5 sec
#creative
Synthesia Training
Synthesia3-min training script [TOPIC]: hook(10s), objectives(15s), 3 content sections(30s), summary(15s), CTA(10s). Visual+narration+text per section.
#training
HeyGen Product Demo
Heygen90-sec demo [PRODUCT]: problem(15s), intro(10s), 3 feature demos(15s each), results(10s), CTA(10s). Script+screen+text per section.
#demo
ChatGPT YouTube Script
ChatGPT[MINUTES]-min YouTube script [TOPIC]: hook(15s), [VISUAL]+[AUDIO] pairs, B-roll suggestions, end screen CTA.
#youtube
AI YouTube Script
AnyYouTube script [TOPIC] [MIN] min: hook (15s), intro (30s), content sections with timestamps, B-roll, sponsored segment, outro+CTA.
#youtube
AI TikTok Script
AnyTikTok 30-sec script [TOPIC]: hook (3s), value, twist, CTA. Visual cues + text overlay. Trending audio suggestion.
#tiktok
AI Video Edit Plan
AnyVideo edit plan for [RAW FOOTAGE]: 1) Cut list (what to keep/remove), 2) Sequence, 3) Transitions, 4) Music, 5) Color, 6) Text, 7) Export specs.
#video-editing