Showing 1–4 of 4 · #reliability
AGENTSAI agent failure modes: a field guide and postmortem template
Wrong arguments, irreversible actions, runaway loops and confident false success. How agents fail, how to investigate it, and which guardrail stops each failure.
RKRafael KimNov 03 · 7 min
AGENTSTool-use evals are broken. Here's how to fix them.
Exact-match grading, single runs and perfect mock APIs make tool-use scores look better than reality. A better harness design, step by step.
JLJonas LindOct 11 · 6 min
AGENTSStep budgets and stopping rules for AI agents
Every agent needs to know when to stop. Budgets, loop detection, progress checks and graceful exits that keep agents useful and affordable.
MOMira OkaforSep 25 · 6 min
AGENTSEvaluating 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