38 structured prompt chains that turn raw code into production-grade documentation. Not one-liners. Not generic templates. Built architecture with system context, validation rules, and model-specific variants.
One-liners give you generic output. Engineered chains give you system prompts, structured tasks, output rules, model variants, and edge-case handling. Here's the difference:
"Write a README for my project" — generic output with badges you didn't ask for, sections you don't need, and a license nobody reads. No architecture. No performance claims. No decision rationale.
Works on Claude. Breaks on GPT. Incomprehensible to Llama. You spend 20 minutes rewriting the output by hand.
No role definition. No constraints. No validation criteria. The AI guesses what you want, and you guess if the output is good enough.
System prompt defines who the AI is (documentation strategist, API specialist). Task prompt provides structured input variables with clear semantics. Output rules enforce 40-line max, no badges, copy-pasteable hello world. Example validates before/after. Model variants for Claude (XML), GPT (markdown), Llama (conversational). Edge cases handled in constraints, not prayer.
7 chains including The One-Minute README, Setup-to-Hello-World, Performance Claim Translator, and The README Audit — a 12-point checklist used before launch.
8 chains covering Method Signature Documentation, Error Code Storytelling, Pagination Strategy, Webhook Events, Rate Limit Translation, and SDK Quick Reference cards.
6 chains for 60-second quick-starts, conceptual foundations, cookbook patterns, skeptic walkthroughs, failure troubleshooting, and multi-step interactive tutorials.
5 chains: Engineer-to-Product Translation, Migration Guide Builder, Breaking Change Communicator, Security Patch Disclosure, and Narrative Release storytelling.
6 chains for 3AM runbooks, onboarding context building, code review explanations, post-incident documentation, service ownership tables, and environment configuration docs.
6 chains: Issue triage to PR guides, design doc extraction from Slack threads, FAQ builders, contributor recognition, release communications, and community guidelines.
Chain 1.1 — The One-Minute README. Paste the system prompt + task into any AI. Fill 8 variables. Get a 40-line README a developer can evaluate in 60 seconds.
Copy the full prompt, paste into Claude, GPT, or your local Llama. Fill in 8 variables about your project. Get a 40-line README in 10 seconds that a developer can evaluate in 60.
If these prompts don't reduce your documentation time by at least 50% on your first project, email us a screenshot of your original docs + the output you generated. We'll refund in full within 1-2 business days. Evidence of attempted use required. See refund policy for details.
Yes. Markdown files (.md) with structured system prompts, task prompts, input variables, output rules, examples, and model-specific variants. You paste them into Claude, GPT, or your local Llama. No SaaS, no lock-in, no dependencies.
PromptBase sells $1.99 one-liners with zero structure. Etsy sells "5000 AI prompts" that are bulk-generated junk. We sell engineered prompt chains with system context, validation criteria, edge-case handling, and model-specific variants. This is the difference between a one-liner and a system.
Every chain includes variants for Claude (Anthropic), GPT (OpenAI), and Llama (Meta/local). If something doesn't work on your model of choice, email support and we'll help debug it.
Yes. All tiers allow commercial use of generated output. Enterprise tier adds white-label rights — remove PromptWorks branding for internal company use. Don't resell the raw prompts as your own product. That's it.