agent-evaluation
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
Can Your AI Agent Keep a Secret? Testing Agents for Data Leakage
Capability evals tell you if an agent is smart. They don't tell you whether it will leak the sensitive data it can see. Here's how to test AI agents for data leakage and secret-keeping — grounded in new research and a real-world one-click leak.
06/21/2026 · Model Evaluation · 9 min read
How to Evaluate AI Agents Beyond the Leaderboard
Leaderboard scores don't predict how an AI agent behaves on your real tasks. Here's a practical guide to evaluating LLM agents on your own tools, with the metrics and predictive-validity thinking that actually transfer to production.
06/20/2026 · Model Evaluation · 9 min read
How to Benchmark an LLM's Agentic Tool Use on Your Own Stack
Public leaderboards won't tell you if a model works with your tools. Here's a practical, repeatable methodology to benchmark agentic tool use on your own stack — and the failure modes to watch.
06/20/2026 · AI Tutorials · 9 min read
Can You Trust an AI Agent? Evaluating Reliability, Data Leakage, and Security
Agent trust isn't a vibe - it's measurable. A practical playbook for evaluating agent reliability, secret-leakage, and security, grounded in this week's benchmarks and a real one-click exploit.
06/20/2026 · Model Evaluation · 9 min read