JesseMarkowitzandClaude Opus 5
ba737de9b4
Validates the three finalists by clone, build, test run and live local Ollama inference, then answers the fork question with measurements rather than static review. Recommendation: fork AI-DnD, confidence high. The Phase 0A call holds, but it was wrong that AI-DnD's undo is non-destructive — retry preserves the replaced take, undo hard-deletes it. A follow-up spike fixed that in 3 files (+130/-31): undo now moves a head cursor, redo round-trips, writing below a moved-back head forks and keeps the abandoned line, branch-scoped memory isolation survives, suite 627/632 with all 5 failures asserting the deleted-row behaviour that was replaced. Findings that change the plan: - AI-DnD cannot take a turn air-gapped as shipped; tiktoken fetches its encoding from a CDN. Proven on an internal Docker network, proven fixed by vendoring the file. - ai-adventure needs zero code for Ollama — two config lines — and its turn/head/checkpoint schema is the target model to build to. - Open Dungeon has zero automated tests and a positional summary watermark, making its branch retrofit larger than Phase 0A costed. - The world-state referee takes relative deltas; a 3B model sent absolute values under full context, so a wounded player ended at full health. Validation cannot catch this, so prefer ai-adventure's typed-event vocabulary when generalising narrative state. - Export/import recomputes head depth, so a round-trip silently undoes an undo. Must be fixed alongside the undo work. Docs only; no production code. Working tree from the runs stays untracked under phase0b/. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_015gUPLuxLs8wypxZPEmccJu