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Building eval sets that survive model swaps — AI Engineer workshop
Eval sets usually die when you change models. This workshop shows how to write ones that transfer.
AI EngineerShreya ShankarAI Engineer World’s Fair 2026Jun 21, 202612 min
Source Summary
Behavior-anchored evals: assert on user-visible outcomes, not model phrasing. Includes a template repo and a live migration from GPT to Claude.
Practical Implication
Rewrite phrasing-based assertions as outcome assertions now — before your next model swap forces it.
Agent-Ready Context
Write evals against user-visible outcomes, not model phrasing. Outcome-anchored evals survive model swaps. Template: given/when/then on behavior, never on wording.
Labels
EvalsModel SelectionWorkflow AutomationCursorClaude CodeCodexImprove Agent ReliabilityCompare Tools
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Related — Every Edge Explained
Graph is progressive enhancement. Every edge listed below.