Path 1: understand the API surface
Start with the API crawler foundations. Learn how to scope discovery, preserve evidence, and distinguish a contract from a sample. Then inspect the sample catalog record and adapt its fields to one operation you need to understand.
Your first deliverable is not a crawler dashboard. It is an operation record another developer can trace to its source and challenge where necessary.
Path 2: bring reviewed context into an IDE
Build the compact pack described in the AI IDE guide. Separate an overview, operation records, and project decisions. Follow the Cursor article to move from an evidence plan to a narrow code diff and fixture-backed tests.
Keep the pack small enough to inspect. A shared tool service can come later if multiple repositories need the same reviewed context.
Path 3: design a bounded assistant
Read the Anthropic return-status example or the OpenAI invoice example. Both focus on deliberate capabilities: what the tool is for, what it cannot do, and what the application checks before execution.
Use the OpenRouter comparison guide when evaluating several configurations. Keep fixtures and contracts stable so you know what changed between runs.
Path 4: improve prompt quality
Begin with the reusable extraction prompt. Define the output and unknown-value policy before writing a long instruction. Then build the fixture suite in API crawler AI prompts to test evidence, uncertainty, and trust boundaries.
A useful prompt library organizes jobs, owners, versions, and expected results. It is not a collection of superlatives about how powerful each prompt is.
Path 5: ship an honest interface
The website builder guide maps catalog fields to cards, detail pages, missing states, and update rules. The startup guide adds ownership, budgeting assumptions, and a clear decision at the end of a pilot.
Use these paths together when the same project includes an API, an assistant, and a public website. Keep their responsibilities distinct even when the interface makes the experience feel simple.
Review checklist
Can you name the evidence for a displayed fact? Can you distinguish a suggestion from a completed action? Does the system have a safe response to missing or partial information? Is there an owner for the next source change?
These questions connect the entire library. Browse by category or topic when you need a narrower starting point.
