We curated a library of 60 ways to improve an AI agent, drawn from 279 sources. We keep the results that cut against a technique: 166 of the 662 we cite are mixed or contradicting.

Entries are cataloged across impact type (cost, quality, speed), agent component (model, memory, prompts, tools, etc), how to test it, and sources that we found to explain / provide data.

The library can also be ingested in bulk into your favorite AI coding tool.

Would love to know what's missing or if anything disagrees with what you've seen working. Happy to answer any questions.