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Project Health

Spot problems, understand what they mean for users, and give the right person a grounded starting point.

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Project setup

Systems & connections

Product record

Record a decision or change

Entries are saved on the State backend, appear in Activity, and are visible to everyone who opens Project Health. They do not change the project itself.

About

About Project Health

How Project Health works

Project Health summarizes operational evidence across delivery, quality, site analytics, and infrastructure without replacing the underlying systems.

Signals

GitHub, Vercel, Render, Neon, project-specific quality checks, and aggregate site analytics.

Software decides

What data to fetch, what counts as a failure, and which evidence the investigator may access.

AI helps

On request, it explains selected failures when deterministic signals alone are not enough.

Human decides

A person verifies the diagnosis and chooses whether code, configuration, or deployment should change.

Quality is project-specific. State measures interpretation and grounded answers. Tastemake checks recommendation grounding and calibration. NARC relies mostly on deterministic gameplay tests plus human playtesting.

Missing telemetry stays missing rather than being guessed. Aggregate site analytics never include project content.

Role & attribution

This is an applied AI product exercise, not a claim that the implementation was written by hand.

My work

Product framing, workflow design, guardrails, quality model, failure behavior, QA, and iteration.

AI-assisted work

Implementation support, code generation, research support, and the bounded failure-investigation summary.