Outgrow
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Outgrow Forge

Turn real expertise into a living apprenticeship.

Follow one fair-metric dashboard from expert demonstration to a reviewed Topic that improves when consented learner evidence reveals a recurring struggle—without moving anyone off the version they started.

Desk note · current stateready

Build each artifact in order. Your expert evidence, Topic versions, and learner paths stay connected as the curriculum improves.

Source-grounded Version-preserving
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Build progress

Create the apprenticeship one stage at a time.

Each command advances only after the previous artifact is present in the server snapshot.

  1. Expert loopReady

    Demonstrate the real work

    Capture the dashboard actions, narrated decisions, sources, and runnable proof as one completed expert session.

    Ready to run.
  2. Expert loopWaiting

    Extract the tacit curriculum

    Turn the completed evidence into skills, decision points, failure modes, lessons, Notebook, Studio, and fresh-work intent.

    Complete the preceding stage first.
  3. Expert loopWaiting

    Review before compilation

    Approve the source-grounded design while the expert evidence and provider trace remain inspectable.

    Complete the preceding stage first.
  4. Expert loopWaiting

    Compile the apprenticeship

    Materialize the path, typed activities, Data Studio configuration, starter files, checks, and Solo Challenge.

    Complete the preceding stage first.
  5. Expert loopWaiting

    Review the compiled Topic draft

    Inspect the creator documentation and apply the deterministic draft edit before anything becomes public.

    Complete the preceding stage first.
  6. Expert loopWaiting

    Publish an immutable first edition

    Publish Fair Comparisons as Topic v1 without replacing the expert capture or compiled package.

    Complete the preceding stage first.
  7. Learner loopWaiting

    Give Maya her own copy

    Fork the published package into an isolated learner workspace and record her evidence-sharing choice.

    Complete the preceding stage first.
  8. Learner loopWaiting

    Practice, then contribute evidence

    Run deterministic attempts that expose the recurring totals-versus-denominator misconception while excluding unconsented evidence.

    Complete the preceding stage first.
  9. Community loopWaiting

    Propose one evidenced improvement

    Use the recurring skill-level failure cluster to propose a focused curriculum change—never a generic feed item.

    Complete the preceding stage first.
  10. Community loopWaiting

    Approve a new version without erasing v1

    Approve the proposed activity, apply it to a fresh package, and publish Topic v2 alongside the preserved first edition.

    Complete the preceding stage first.
  11. Community loopWaiting

    Prove the improvement reaches the next learner

    Fork the current Topic for a new learner and verify that the added lesson arrives from v2 while earlier versions stay intact.

    Complete the preceding stage first.