agent-evaluation

Preventing AI Agent Security Incidents: A Pre-Production Evaluation Playbook

A VentureBeat survey found 54% of enterprises have already hit an AI agent security incident — and most still let agents share credentials. Here's a practical playbook to evaluate agents against realistic adversarial conditions before they reach production.

07/21/2026 · Model Evaluation · 9 min read

Stop Vibe-Checking Your Agents: Eval-Driven Prompt Optimization with DSPy

Agent prompt evaluation turns prompt tuning from guesswork into engineering. Here's how to build an eval set, use DSPy to optimize prompts against it, and regression-test your agents every time a new model drops.

07/07/2026 · AI Tutorials · 10 min read

How to Evaluate AI Agents: A Practical Reliability Playbook

AI agent evaluation is the discipline most teams skip — and the one that decides whether your agent survives production. Here's how to test agents for correctness, reliability, memory, and failure modes before and after you ship.

06/29/2026 · Model Evaluation · 9 min read

How to Benchmark AI Agents on Your Own Tools (Not Just Leaderboards)

Public leaderboards won't tell you if a model can actually drive your tools. Here's how to build a lightweight, reproducible agentic eval against your own harness — and why local models are now in the running.

06/28/2026 · Model Evaluation · 9 min read

How to Evaluate AI Agents in 2026: Beyond Benchmark Saturation

Static leaderboards are saturating, so durable agent evaluation is shifting to stress-testing in simulated environments. A practical 2026 framework for measuring whether your AI agent is actually reliable.

06/27/2026 · Model Evaluation · 8 min read