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Evals Guide Sequel by Hamel Husain and Shreya Shankar

Why we picked it

Concrete results show why eval investment pays: Ramp lifted receipt-collection accuracy from 35% to 83%, Harvey nearly doubled its contract reviewer quality score, and Cursor cut Auto Balance routing costs 41% while raising satisfaction. Teams building or scaling AI features can apply the guide's skipped-step framework and plugin directly. Practitioners hiring for AI product roles will also recognise why evals keep appearing in PM job requirements.

Lenny Rachitsky announced an advanced sequel to the guide "Building eval systems that improve your AI product" by Hamel Husain and Shreya Shankar. The authors draw on work with more than 50 AI companies to explain the key step most teams skip and what should or should not be automated. The guide includes a free plugin that lets a coding agent handle most of the heavy lifting. Rachitsky notes that nearly half of 25 PM job openings he shared ask for eval-writing experience.

Original · Lenny Rachitsky

No coincidence Lenny Rachitsky @lennysan Evals have been coming up more and more in my conversations with podcast guests and PM friends. Nearly half of the 25 awesome PM job openings I shared last week ask for experience writing evals. And leading companies keep sharing what investing in evals bought them: — @tryramp took its automatic receipt collection from 35% to 83% accuracy. — @Shopify shipped an AI workflow builder that's 2.2x faster and 68% cheaper than the frontier-model setup it replaced. — @harvey__ai rebuilt its AI contract reviewer, nearly doubling its internal quality score. — @cursor_ai tuned its Auto Balance routing, with much higher user satisfaction at 41% lower cost. So I asked the 🐐s of evals, @HamelHusain and @sh_reya , to write an advanced sequel to their very popular "Building eval systems that improve your AI product." Drawing on their work with 50+ AI companies, they share the key step most teams skip, what you should (and shouldn't) automate, and a free plugin that lets a coding agent do most of the heavy lifting. Read it here: lennysnewsletter.com/p/advanced-eva… F 🔗 View Quoted Tweet 💬 0 🔄 1 ❤️ 31 👀 5975 📊 6 ⚡