Defer AI tuning until game completion and set adjacent difficulty targets

Update the goal objective and synchronized repository guidance at the user's request. Remove the weekly usage cutoff, routine account-usage checks and mandatory token-counter tracking while retaining efficient work, verified Git pushes and selective subagents. The objective file remains outside the repository; private before/after copies are saved.

Keep existing AI profiles and minimal legal participation for feature testing and critical correctness fixes. Defer full AI implementation, strategic refinement and calibration until all non-AI game features are complete. Then aim for approximately 75% higher-tier wins separately for Medium/Easy, Hard/Medium and Brutal/Hard in balanced pairwise evaluations, with swapped factions/seats, independent evaluation seeds and reported uncertainty. Preserve broader multiplayer acceptance, hidden-information boundaries and human-seat pacing. Historical calibration results are not evidence of these targets.

Documentation-only validation: reviewed the changed instructions, checked 73 local links, verified all three target pairs and preserved Git/subagent requirements, and passed git diff --check. No runtime behavior changed; tests/build were not rerun.

AGENTS.md

@@ -29,11 +29,17 @@ for the in-memory SQLite tests. `tsx` is a pinned development dependency.
   existing checklist. Prototypes need usable controls, a legal AI path and saved
   continuation; placeholders and disconnected helpers are not completed features.
 - Keep focused checks for crashes, deadlocks, legality, custody, privacy and save
-  integrity. Defer exhaustive combinations, AI calibration and visual polish
-  until broader functional coverage, unless current failures require them.
+  integrity. Defer exhaustive combinations and visual polish until broader
+  functional coverage, unless current failures require them.
+- Defer full AI implementation, strategic refinement and difficulty calibration
+  until all non-AI game features are complete. Until then, maintain only minimal
+  legal participation and fix critical playability/correctness issues. Afterward,
+  target approximately 75% higher-tier wins for each adjacent pair: Medium/Easy,
+  Hard/Medium and Brutal/Hard. See `docs/AI_DEVELOPMENT_PLAN.md` for evaluation.
 - Preserve required checkpoint checks, selective subagents and independent
   review for complex rules/privacy/persistence. Commit and push verified
-  checkpoints under standing authorization; stop at 80% weekly usage consumed.
+  checkpoints under standing authorization. No user-imposed usage cutoff or
+  routine account-usage check remains.
 - Keep material rulings explicit and prototype independent work while pending.
   Prototype evidence does not open mode or publication gates.