You're wasting hours on AI boilerplate that should take minutes.
Every new project: set up the LLM client, wire up streaming, figure out token limits, copy prompts from last time, debug the same edge cases again.
You've built this before. You know how it goes. An hour disappears into setup. Another into debugging the exact same token overflow you fixed last month. You check your old projects for that one prompt that worked... except you can't remember which one.
Meanwhile the app you actually want to build sits untouched.
The AI Builder Cheat Sheet fixes this.
One 8-page Markdown reference (`cheat-sheet.md`) for the Claude API: model selection, token math, prompt patterns, retries, tool use, and a production checklist. Open it when you start a new project. Close it when you're done.
What's inside:
- ✓Model selection: Opus vs Sonnet vs Haiku decision tree and cost table
- ✓Token math, monthly cost calculator, and 7 prompt-compression techniques
- ✓7 JSON prompt patterns plus a system-prompt template
- ✓Claude rate limits by tier, exponential backoff, and a queue pattern
- ✓Tool-use template, tool loop, and common pitfalls
- ✓Single vs multi-agent criteria, proposal-engine pattern, memory tiers
- ✓Production checklist, monitoring, cost guardrails, and API quick reference
Instant Markdown download · 30-day money-back guarantee · No questions asked
"I use this every time I start a new AI project. Saves me at least 2 hours on setup alone."
"Worth 10x the price. The token counting section alone saved me from a nasty billing surprise."
Questions? Email support@shipkits.dev