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Free Starter Edition — a 3-step slice of the full AI Workflow & Artifact Pipeline. Capture a signal, turn it into an artifact, and check it against your boundaries. One worked example is already filled in, so you never stare at a blank database.

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Start here (5 minutes)

  1. Open the Signals / Intake table below and add one real signal — a problem, idea, or request worth acting on.
  2. In Artifacts, create the thing you'll actually ship from it (a doc, spec, post, or snippet) and link it back to the signal.
  3. Run it through the Boundary Register: write down what you are and aren't claiming, then tick it once it's verified.

That's the whole loop. Repeat it and you get a traceable trail from raw signal to shipped artifact.

Why this is different

Most templates hand you empty tables. This one encodes a method: every artifact stays linked to the signal that justified it, and nothing ships without a boundary check. That last step — stating clearly what you are not claiming — is what keeps AI-assisted output honest.

The worked example

The rows already in place show one full pass:

Keep them as a reference, or delete them once you've seen how it fits together.

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Want the full pipeline? The complete AI Workflow & Artifact Pipeline v0.1 ($39) adds Scope Notes, Source Map, Decision Log and Publication Route — the full 7-database system with guidance for every stage.

👉 Get it on the Notion Marketplace: Get the full version ($39) →

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Your pipeline

Three connected databases. Work left to right: Signals → Artifacts → Boundary check.

Signals / Intake

Artifacts

Boundary Register