Showing 10–11 of 11 · #evals

AGENTS

Evaluating AI agents end to end

Outcome checks, trajectory review, sandboxes, simulated users and pass^k. A complete method for knowing whether your agent really works.

MOMira OkaforJul 14 · 6 min

BENCHMARKS

The LLM eval harness checklist we wish we had on day one

Versioned datasets, pinned models, stored outputs, error bars and a CI gate. A checklist for turning ad hoc eval scripts into infrastructure you trust.

MOMira OkaforJul 11 · 6 min