Curated AI prompts for business, creative, and technical use cases.
Works well with Claude Opus 4.8 or GPT-5.4 for nuanced tone-matching across channels; Claude Sonnet 5 handles shorter transcripts fine at lower cost.marketingYou just finished five 30-minute customer interviews for a case study project. You have five raw transcripts, roughly 45 minutes of usable content buried in filler words, tangents, and repeated phrasing, and marketing needs three strong quotes for a landing page redesign by Friday.
A prompt that takes messy customer interview transcripts, support call notes, or review text and extracts ready-to-use testimonial quotes, organized by the specific objection or use case each one addresses.
prompt-engineeringmarketing
Works best with Claude Opus 4.8 or GPT-5.4 for the reasoning depth needed to rank causes by plausibility; Claude Sonnet 5 is a solid faster/cheaper alternative for routine metric checks.Data AnalysisYour weekly signup dashboard shows conversions dropped 18% starting Tuesday. You don't know if it's a pricing page bug, a marketing campaign that ended, a competitor promotion, seasonality, or a tracking error — and your team is about to spend the next two days randomly checking each one.
A structured prompt that takes a metric anomaly (a spike, drop, or plateau in any KPI) plus context about your systems and recent changes, and returns a ranked, evidence-weighted list of probable causes with a specific next check for each one.
prompt-engineeringdata analysis
Claude Sonnet 5 (also works well with GPT-5.4 and Gemini 3 Pro — any model that follows structural constraints reliably)Developer ToolsAn on-call engineer has a payments API outage from 2am with only scattered Slack timestamps and half-remembered details, and needs to turn that into a clear, professional postmortem before Monday's leadership review — without spending two hours writing it from scratch or accidentally writing something that reads like it's blaming a specific teammate.
A structured prompt that turns messy incident notes into a professional, blameless postmortem — with a real timeline, a distinguished root cause, and no more than five assignable action items.
incident-responsesre
Claude Sonnet 5 (also works well with GPT-5.4 and Gemini 3 Pro — any model with strong structured reasoning)learningA backend engineer with four years of Python and PostgreSQL experience wants to move into a Machine Learning Engineer role within four months, has 8 hours a week to study, and has no idea whether to start with math fundamentals, a specific framework, or a portfolio project first.
A structured prompt that maps the exact gap between your current skills and a target role, then builds a week-by-week learning plan with real checkpoints — not just a reading list.
career-developmentlearning-plan
Claude Opus 5 (also works well with GPT-5.4 and Gemini 3 Pro)creativeYou have 4 minutes on the agenda at next week's board meeting to explain why the company's new fraud-detection model reduces false declines, and the board has finance and legal backgrounds with zero machine learning experience — a slide full of precision and recall numbers will lose them in the first 20 seconds.
A prompt that generates five distinct, audience-tested visual metaphors for any complex concept, complete with slide visuals, spoken one-liners, and a risk rating for each — so you're not guessing which analogy will land with your specific audience.
communicationpitch-deck
Claude Opus 5 (also works well with GPT-5.4 and Gemini 3 Pro — any model with a large context window for pasting full contract text)finance-negotiationYour company's project management SaaS vendor sends a 22-page renewal agreement three business days before the auto-renewal deadline. Legal review normally takes a week, but you need to know today whether anything in the contract needs to be pushed back on before you sign or let the renewal window close.
A prompt that reads a vendor contract, flags the clauses that actually create risk, and drafts the exact redline language and negotiation talking points for each one — instead of a generic 'read this contract' summary.
Negotiationlegal risk
Works with any capable model with a large context window (Claude Sonnet/Opus, GPT-5 tier, Gemini 3 Pro) — needs enough context length to hold a full meeting transcript, so avoid small/fast tiers for long recordingsWriting & CommunicationA product manager just left a 45-minute cross-functional planning meeting between engineering, design, and marketing about a delayed Q3 feature launch, and needs to send a decision recap within the hour — before people's memories of who-agreed-to-what start to diverge — but manually re-listening to the recording or notes to reconstruct exactly what was agreed would take 20+ minutes and still risk missing a contradiction between two speakers.
Stop letting 'we'll figure it out' get written into a recap as a firm decision. This prompt separates what was actually agreed from what just sounded agreed.
prompt-engineeringproductivity
Works with any frontier reasoning model (Claude Opus/Sonnet, GPT-5 tier, Gemini 3 Pro) — pair with a quick web check for current per-token pricing, since the model's training data may lag real-time rate changesArtificial IntelligenceA support-team lead needs to route 40,000 monthly customer tickets into 12 categories with a suggested first-response draft, must stay under 3 seconds per ticket, keep costs under $2,000/month, and cannot send EU customer PII outside the EU — but has no AI infrastructure background to know which model tier fits those constraints without expensive trial and error.
Stop defaulting to the most expensive model for every task. This prompt builds a cost/latency/quality comparison across model tiers and gives you a defensible recommendation, not a guess.
prompt-engineeringinfrastructure
Claude Opus 4.7 (works well with GPT-5.4 and Gemini 2.5 Pro; needs a model with strong structured-table output)Startups & BusinessA 12-person SaaS company just wrapped a quarterly strategy offsite with a completed SWOT analysis on a whiteboard — churn is flagged as a weakness, rising AWS costs as a threat, a competitor's weak enterprise tier as an opportunity — but the founder has to walk into Monday's all-hands with a concrete 30-day plan, not a photo of a whiteboard nobody will look at again.
A prompt that takes a completed SWOT analysis and converts it into a week-by-week 30-day action plan with owners, deadlines, and success metrics — so the strategy session actually changes what your team does on Monday.
prompt-engineeringstartup-strategy
GPT-5.4, Claude Sonnet 5, or any reasoning-capable model — works best with one that can hold both weeks' context and reason about relative priority, not just summarizeproductivityIt's Monday morning, you have 15 minutes before your first meeting, and you have a messy calendar export plus a half-remembered sense of what mattered last week — you need an honest read on where your time actually went, not just a to-do list for the next five days.
Turn a messy week of tasks and meetings into an honest scorecard against your real priorities, plus a ranked list for the week ahead — not just another to-do list.
prompt-engineeringproductivity
GPT-5.4 or Claude Sonnet 5 — any frontier model with a large context window handles this well; feed it the full article text, not a summarymarketingYou just published a 1,500-word blog post analyzing a major industry report, and your social calendar for the week is due in 20 minutes — you need 10 genuinely different posts, not the same headline copy-pasted across five platforms.
Turn any blog post into 10 genuinely distinct, platform-native social posts in one pass — not the same headline copy-pasted five times.
prompt-engineeringsocial-media
Works best with Claude Opus 4.8 or Sonnet 5 for large functions (context window and code reasoning matter more than raw speed here); GPT-5.4 is a solid alternative. Avoid smaller/faster models for this — risk scoring requires holding the whole function's logic in view at once.Developer ToolsYou've inherited a 400-line function that everyone on the team avoids touching because it 'works, mostly' and nobody remembers why it's structured the way it is. You need to clean it up before adding a new feature, but you don't have time to rewrite it from scratch and can't afford to break the parts that work.
A structured prompt that reviews a known-problematic function, proposes specific refactors with before/after code, and scores each one for regression risk before you touch anything.