#evals
4 posts tagged with #evals
Every article below is hand-written, technically reviewed, and focused on evals. Posts cover real-world architecture decisions, code-level implementation patterns, and trade-offs you'll only discover after shipping production systems.
AI and Machine Learning AI Engineering Evals: Regression Gates for Prompts, Tools, RAG [2026]
Stop letting prompt tweaks and model upgrades silently break production. Here’s a CI-style regression gate system for prompts, tool calling, and RAG with golden sets, schemas, shadow evals, and failure budgets.
AI and Machine Learning AI Agent Evaluation Framework 2026: 8 Metrics Beyond Task Success
If your agent eval is just “did it finish the task?”, you’re flying blind. Here’s a 2026-ready scorecard for tool correctness, recovery, safety, and cost-per-success—plus a regression suite blueprint you can actually run in CI.
AI and Machine Learning Agent Evaluation Harness [2026]: Replay, Rubrics, CI Gates
Most agent failures aren’t “bad prompts”. They’re multi-step tool cascades. Here’s how I build an agent evaluation harness that actually prevents regressions.
AI and Machine Learning Evaluate AI Agents in Production: 3-Level Framework [2026]
Most AI agent failures trace back to missing evals. Here's the 3-level framework — unit tests, LLM-as-judge, and online evaluation — that actually works in production.