How AI Architects Build Evals, Step by Step

I help knowledge workers use AI responsibly to do better work, get the better job and the faster promotion. 🔥 Community: AI for Consultants on Skool, 9 USD a month 🔥 Leading an AI project at work? Ask your questions in the community, in a post or in private. https://www.skool.com/claude-for-cons... 💻 Need custom work? 💻 https://www.ongkrong.com In this video I walk through how solution architects build an eval for an AI system, step by step: define what success means, build a golden dataset, check what code can check, use a second model as a judge, and make the eval the gate for every change. ⏰ TIMESTAMPS: 0:00 - It looks great. But what does "great" mean? 0:42 - Who this is for 1:07 - What an eval is 1:54 - Why architects write the eval first 2:29 - Step 1: define the task and the pass mark 3:17 - Step 2: the golden dataset 3:41 - A real client: legal translation 4:27 - Step 3: code checks 4:57 - Step 4: a second model as the judge 5:39 - Check the judge before you trust it 5:59 - Humans last, and reading the results 6:24 - The eval becomes the gate 6:47 - A pattern that keeps showing up 7:58 - "I spot check it" and other objections 9:00 - How I'd split the work 9:26 - Join the AI for Consultants community SOURCE (the docs on screen): Anthropic, Define success criteria and build evaluations https://platform.claude.com/docs/en/t... DISCLAIMER: AI helped edit this video (drawn graphics, subtitles). The ideas and the opinions are mine. The contract team in the video is an illustration of a common pattern, not a real client. AI for Consultants is an independent community. It is not affiliated with or sponsored by Anthropic. #aievals #aiprojects #solutionarchitect