# LEGION

- **Event:** [Meta Global AI Developer Hackathon](https://cerebralvalley.ai/e/meta-ai-developer-hackathon)
- **When:** Oct 26, 12:00 PM – Nov 4, 9:00 PM (EST)
- **Where:** Online
- **Team:** [Arkadiy Miteiko](https://cerebralvalley.ai/u/Arcus)
- **GitHub:** https://github.com/veraxis-protocol/LEGION
- **Demo video:** https://youtu.be/kYWzgDVy1Ew
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4019

LEGION-100: Flight Control for Autonomous Civilization

Artificial intelligence is becoming abundant. Control over what it actually accomplishes is not. Companies are preparing for a future in which thousands of autonomous agents handle everything from financial transactions to critical infrastructure. Yet a fundamental question remains unanswered: Who ensures that these agents work together, respect operating constraints and actually finish the job?

Aviation solved a similar problem decades ago. Modern aircraft rely on thousands of interconnected components, but safe flight depends on more than the performance of individual systems. It requires coordinated control, engineering discipline and independent verification. LEGION-100 brings that philosophy to autonomous AI.

LEGION introduces a new capability: mathematically governed collective execution. It coordinates 100 registered agents(now) within a shared mission, governing their actions through formal rules, recording real-world consequences and using an independent Judge to establish whether the collective achieved its objective. Its 13 executable enterprise worlds span financial settlement, procurement, customer operations, infrastructure recovery and AI containment.

The results point to a different future for AI economics. In an observed infrastructure recovery comparison using NVIDIA NIM and Muse Spark 1.3, a mission configured with 100 registered agents failed without LEGION after consuming 85,558 tokens. With LEGION, the collective completed the mission, passed independent verification and consumed just 29,707 tokens—65.3% fewer tokens.

That is the promise of  Verified Collective Completion (VCC\@1): measuring AI by the work a collective can demonstrably finish on its first attempt, rather than the intelligence or activity of its individual agents.

LEGION is designed to work with different AI models, opening the door to larger, more ambitious missions with smaller token budgets and independently verifiable results.

The next frontier isn't what AI can think. It's what 100, 1,000 or eventually 150,000 agents can accomplish together—and prove they accomplished.

## More from Meta Global AI Developer Hackathon

- [Static Programming](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4016)
- [Tennis Buddee](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4017)
- [Impasto: an AI co-pilot for paintings](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4018)
- [Player Two](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4020)
- [Starving Artique](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4021)
- [Dream it. Ship It](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4022)

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