Show HN: Integrate governance before your AI stack executes – COMMAND console

1 point

3 months ago

I built COMMAND, a governance console for operating multiple AI systems from a single control surface. It's an enterprise product — licensed to organizations, not individuals — but the full interactive demo is a single HTML file anyone can open and explore right now. The problem: organizations running multiple AI systems (GPT, Claude, Gemini, Grok, etc.) have no structured way to govern them together. Each system is a separate conversation with separate context. COMMAND gives you a single interface with role assignment (primary/secondary/observer), sequenced execution order, broadcast across systems, context injection, and a full audit trail. Open the site, the demo runs in your browser. No signup, no backend, no dependencies. You're looking at the full control surface:

Assign roles and execution sequences across 6 AI systems Set governance modes that constrain how systems respond Broadcast a single prompt to multiple systems in defined order Load context documents from a vault and inject them into sessions Deploy structured missions with WHO/WHAT/WHERE configuration Control response behavior with compression, speed, and length sliders SNAIL mode (step-by-step acknowledgment), LOCK IN (acute focus) Command postures: FALL IN LINE, FOLLOW, LEAD, TAKE CHARGE Full session export and audit logging

The demo uses simulated responses to show how governance state flows through. The actual product is delivered to licensed organizations who connect their own API keys and engine. Built as a single self-contained HTML file (~7K lines). I wanted something that could run anywhere, including air-gapped environments, with zero infrastructure dependencies. Happy to discuss the architecture, the governance model, or the reasoning behind any of it.

RiftWalking