Agent reliability
See a failure, apply a guard, and check whether the same scenario still fails.
01 · Read the guide
How to Make AI Agents Production-Ready (What the Tutorials Don't Tell You) →Most AI agents that look impressive in demos collapse in production. Here's what actually makes the difference — from context windows to failure modes — based on real deployments.
02 · Try the tool
Run a failure scenario →A local simulation, with failure and guarded behavior shown separately.
One small test
Choose a failure mode. Run the baseline and the guarded version against the same fixture. A passing simulation is not evidence that a production agent is safe.
Keep reading
- How to Make AI Agents Production-Ready (What the Tutorials Don't Tell You)
Most AI agents that look impressive in demos collapse in production. Here's what actually makes the difference — from context windows to failure modes — based on real deployments.
- The Smartest Model Is Not What Makes AI Agents Reliable
AI agents reliability comes from a deterministic layer, not a bigger model. Two Anthropic papers show a cheaper model plus the right tool wins every run.
- AI Agent Verification: Why the Checker Beats the Model
Claude wrote a 13-million-line proof in 11 days and nobody read it. AI agent verification, not model capability, is what turns autonomous output into an asset.
- How to Evaluate LLM Outputs: Evals and LLM-as-Judge in Practice
You can't ship an LLM feature you can't measure. Here's how I build evals — from a labeled set to LLM-as-judge graders — so prompt changes stop being vibes and start being numbers.
- AI Agent Permissions Need a Runtime, Not a Better Prompt
NVIDIA's OpenShell and Sentry put agent permissions outside the model. Here's what the new safety stack can enforce, what remains unproven, and how to test it.