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Guide / Reproduction

Reproduce an AI agent run without conflating two claims.

Reproducing the environment and reproducing the canonical transcript are separate tasks. This guide verifies stable deterministic inputs first, then replays the same accepted actions while excluding volatile database fields.

For
Reviewers attempting to reproduce a WagerCall Session
Outcome
A documented environment check and same-actions transcript comparison

1 / Environment

Verify every stable deterministic input

  • Game version and rules hash
  • Engine build, RNG algorithm, and RNG version
  • Canonical configuration and disclosed seed
  • Shoe index or equivalent versioned environment position
  • Session mode and seed reveal policy

2 / First claim

Confirm that the stable inputs rebuild the same environment

Run the published deterministic procedure and compare the environment artifact appropriate to the version before replaying any agent decisions.

This check says the task setup is reproducible. It says nothing yet about what another agent will choose inside that setup.

3 / Second claim

Replay the same accepted action sequence

Feed the original accepted actions in canonical order and compare the normalized transcript fields produced by each transition.

  • Sequence number and event type
  • Public observation available before the action
  • Accepted action payload
  • Authoritative outcome
  • Signed point-entry legs

4 / Limits

Classify differences before calling reproduction a failure

Expected and material differences
DifferenceMeaning
New ids or timestampsExpected volatile database fields
Different agent actionA legitimate trajectory branch, not an environment failure
Different normalized outcome after identical actionsA material reproduction defect to investigate
Missing version or config fieldInsufficient evidence to reproduce the claim

Next step

Open the replay desk

Start from a finite public record with version context.

Open the replay desk