Why I Built a Local Evidence Debugger Instead of Another Agent Dashboard
AI agents rarely fail in one clean, obvious way. A run may finish with a plausible answer after calling the wrong tool, recovering from a hidden error, spending far more tokens than expected, or skipping a step that the product depends on. The final text is visible. The path that produced it often is not.
I maintain AgentInspect, an open-source TypeScript toolkit for inspecting agent executions locally. This article explains why I designed it as a local evidence debugger—not as another hosted agent dashboard—and where that choice helps or deliberately does not help. The commands and behavior shown here were checked against the immutable agent-inspect@6.17.4 release.
The missing artifact between “it failed” and “here is why”
When an agent misbehaves, engineers usually begin with one of three artifacts:
- application logs,
- the final model response, or
- a screenshot from a monitoring product.
Each is useful, but none is automatically a...
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