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.

README.md

@@ -14,6 +14,12 @@ npm run dev -- --host 0.0.0.0
 
 Open `http://localhost:3000`. Create a room, share its eight-character invitation, and add human or AI seats. The host can configure Easy, Medium, Hard and Brutal AI opponents. Current calibration demonstrates a substantially weaker Easy policy; it does not yet demonstrate a consistent ordering among the upper three levels.
 
+Full AI implementation and tuning wait until all non-AI game features are
+complete. The [AI development plan](docs/AI_DEVELOPMENT_PLAN.md) then targets
+approximately 75% higher-tier wins for Medium/Easy, Hard/Medium and Brutal/Hard.
+Until that stage, AI work focuses on minimal legal participation and critical
+playability fixes.
+
 Choose **Learn to play** for the [interactive introduction](docs/INTERACTIVE_INTRODUCTION.md)
 at `/learn`. Practice shipping, battle plans and collection before entering a
 room; lesson progress stays in your browser and does not change saved games.