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Coming soon Developer Tools · AI agent testing, evaluation, tracing, and deployment harness

ai1stharness.com

AI 1st Harness

Give teams a harness to simulate tasks, evaluate outputs, inspect traces, block unsafe releases, and monitor regressions after deployment.

For AI agents: Data for agents MCP
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Sentinel, an AI agent for AI 1st Harness
Meet the agent

Sentinel

“Choose a scenario, and I will show what the agent did, what failed, and whether the release should pass.”

Sentinel is not live yet. Luma, our AI guide, can tell you about it.

The business

What this business does

ai1stharness.com helps AI engineering leads; platform teams; and developers shipping agents with tool calls give teams a harness to simulate tasks, evaluate outputs, inspect traces, block unsafe releases, and monitor regressions after deployment by delivering an agent testing and release harness that runs scenarios; captures traces; scores outcomes; flags unsafe tool use; and gates deployments. It matters because Agentic systems fail in unpredictable ways because prompts, tools, memory, and model behavior change faster than traditional QA processes can cover, and the AI-native system treats agent workflows as testable systems with sandboxed tools; scenario generation; regression comparison; safety policies; and release decisions.

Best first use

A CI-connected test harness for support or operations agents that make tool calls and need release approval.

Where it stands

Coming soon

This business is being built. Its agent and its pages are planned; it is not open yet.

What the agent does

What Sentinel will do

  • scenario builder, eval runner, trace viewer, tool-call simulator, golden dataset manager, regression dashboard, CI webhook, release gate, incident review, prompt diffing, model comparison, and policy library
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