For those curious: Humanloop is a evals platform for building products with LLMs. We think of it as the platform for 'eval-driven development' needed for making AI products/features/experiences that work well
We learned three key things building evaluation tools for AI teams like Duolingo and Gusto:
- Most teams start by tweaking prompts without measuring impact
- Successful products establish clear quality metrics first
- Teams need both engineers and domain experts collaborating on prompts
One detail we cut from the post: the highest-performing teams treat prompts like versioned code, running automated eval suites before any production deployment. This catches most regressions before they reach users.
We learned three key things building evaluation tools for AI teams like Duolingo and Gusto:
- Most teams start by tweaking prompts without measuring impact
- Successful products establish clear quality metrics first
- Teams need both engineers and domain experts collaborating on prompts
One detail we cut from the post: the highest-performing teams treat prompts like versioned code, running automated eval suites before any production deployment. This catches most regressions before they reach users.