Off, Assist and Drive are explicit, user-controlled Auto modes.
Auto Lab
Inspect what local Auto actually did, what choices were legal, which structured reason codes fired, and what completed practice sessions produced. This is a proof surface—not hidden reasoning.
Level 1 · INITIATE
XP measures recorded practice activity only. It is not Elo, matchmaking rank, or a claim about competitive skill.
150 XP to the next Practice Signal level.Adaptive Auto · Hall Games
A DV-native transfer of the supplied Genome, GRAFT, Anti-Genome and ProofLayer principles. Auto actions are checked against their legal-action evidence before they are applied; local practice activity stays separate from competitive skill.
Practice activity progression is labeled separately from skill rating.
Decision replay, reason categories and evidence export.
Versioned traces and legal-action validation in Chess and Spades Auto.
Other genome genes are catalogued as references; they are not claimed as integrated into Auto.
Use Chess Auto or Spades Auto to collect traces. A ten-action sample is a visibility target, not a release certification.
Auto records and applies only a decision with a positive legal-action count and legal validation.
Practice activity stays separate from competitive rating and decision confidence remains null.
A local decision sample is not presented as long-run convergence or release certification.
Auto Lab shows structured reason codes and observable evidence only.
Milestones
Complete one local match and save its factual post-match lesson.
Complete at least one Chess lesson and one Spades lesson.
Record 25 legal Auto decisions through DecisionTrace.
Record 100 legal Auto decisions through DecisionTrace.
Accumulate 10 distinct structured reason codes across Auto decisions.
Build a ten-match local lesson history.
Decision replay timeline
No Auto replay yet
Run Adaptive Auto in Chess or Spades. Validated bot actions will appear here in session order.
DecisionTrace records observable state hashes, legal-action counts, selected actions, reason-code categories and validation. It does not expose hidden chain-of-thought and does not convert practice activity into a fabricated skill rating.
