Measuring Agent Performance Against a Human Baseline, Fairly
The honest answer to "is the agent better than a person?" is almost never a single number. A fair comparison means defining the same task, g
S. Bauer · Feb 25, 2026 · 14 min
Reliability
Measuring, testing, and trusting agents in production. · 55 articles
The Replay Problem: Why Recreating an Agent's Exact Run Is Harder Than It Looks
When an autonomous agent does something costly or wrong, the first thing every team reaches for is "show me exactly what happened." But repl
M. Hale · Feb 23, 2026 · 13 min
How Much Human Oversight Is Enough? Setting the Autonomy Dial for AI Agents
The right amount of human oversight for an AI agent is not a fixed number, it's a dial you tune per task, per stakeholder, and per failure c
N. Adeyemi · Feb 18, 2026 · 16 min
Self-Healing Agents: Retry Logic That Actually Helps (and the Kind That Just Burns Tokens)
A naive retry loop on an AI agent is one of the most expensive ways to fail. Re-running a failed step with the exact same prompt usually pro
T. Brennan · Feb 12, 2026 · 13 min
Task Success Rate: How Leading Vendors Actually Measure It
Task success rate sounds like one number. It isn't. When a GaaS vendor tells you their agent "succeeds 92% of the time," they've made a doze
T. Brennan · Feb 10, 2026 · 12 min
Why "99% Accurate" Is Meaningless for AI Agents (And What to Measure Instead)
A vendor telling you their agent is "99% accurate" is selling you a number that hides the only thing you care about: whether the whole job g
A. Reyes · Feb 8, 2026 · 13 min
Debugging Tool-Call Failures in Agent Chains: A Field Guide for GaaS Teams
Most agent failures aren't model failures. They're tool-call failures, the agent picked the wrong tool, passed garbage arguments, mis-parse
J. Okafor · Feb 6, 2026 · 14 min