Dominion MAKER

MAKER = Maximal Agentic decomposition + ahead-by-K voting + Error correction + Red-flagging

Implementation of the MAKER framework applied to Dominion. MAKER solved Towers of Hanoi with 20 disks (>1M steps) with zero errors. This applies the same approach to a deck-building card game with 200-400 decisions, hidden information, and strategic depth.

Non-commercial research — Dominion © Donald X. Vaccarino / Rio Grande Games.

How It Works

LLMs make mistakes on long sequential tasks. MAKER fixes this with multi-model voting on atomic steps:

1. 8 LLMs (Claude, GPT, Gemini, Mistral) receive game state
2. Each votes for an action in parallel
3. Invalid actions filtered (red-flagging)
4. First action k votes ahead wins (early termination)
5. Engine executes, repeats

Architecture

Event-driven with full undo — designed for consensus research.

The engine emits immutable events (CARD_PLAYED, TURN_STARTED). State derives from events. Every event tracks causality (causedBy links effects to cause). This enables:

• Rewind to any decision, replay with different models
• Atomic undo — action + all its effects in one operation
• Deterministic replay — shuffles stored for perfect fidelity
• A/B test consensus — same game state, different voter configs

Consensus Panel

Real-time visualization of multi-model voting with 4 tabbed panes:

• Voting — vote breakdown bars, color-coded model dots, valid/invalid badges per action
• Performance — timing waterfall (ms per model), fastest/slowest highlighting, aborted calls
• Reasoning — each model's reasoning grouped by action voted for
• State — game snapshot at decision time (phase, resources, hand, cards in play)

Quick Start

bun install
echo "AI_GATEWAY_API_KEY=your-key" > .env
bun run dev

http://localhost:5173 — configure models, voter count (1-16), k-value.

Tech Stack

Preact, TypeScript, Bun, Vite 8 beta, Vercel AI SDK v6 beta

• Build: 58ms build, 81ms types, 73ms tests (497), ~15s deploy
• Bundle: 134 KB gzipped (72% compression), smart preloading, AVIF/WebP images
• Multiplayer: Real-time via PartyKit (WebSocket + edge)
• Dev tools: Event scrubber for time-travel debugging

License

MIT (LICENSE) — MAKER framework: Cognizant AI Labs