Mission Control Board - Overview

Mission Control Board Dashboard Overview

Mission Control Board - Details

Mission Control Board Dashboard Details

Peter Wilson

AI Systems Architect

Los Angeles / Miami / Remote • pwnetsuite@outlook.com • (213) 507-9439

What Runs Today

I don't build proofs of concept. I build systems that run daily, handle real decisions, and don't break when I'm not looking.

Mission Control Board
Multi-model orchestration layer (React DevPod + Tori + The Ape) routing work across Claude, GPT-4o, Gemini, DeepSeek, Kimi, Grok, Mistral, Qwen, and Perplexity with real-time convergence scoring and health monitoring.
Lares Agent Network
Ten specialized AI agents with Italian identities, auto-routing by @mentions and context, SQLite persistence, JSONL audit logs, terminal inbox watcher, Claude Desktop and Cursor integrations.
Edge Crew / EC4
Multi-model decision laboratory with 24-hour ESPN slate fetch, deterministic grade engine combined with AI panel scores, Kimi gatekeeper validation, real-time picks and bankroll tracking.
Casa Companion
Voice-first AI companion platform with 46+ characters, FastAPI backend, per-user cloud deployments, Kids' PWA, and Next.js landing site.
Runway
Music discovery dashboard powered by KIMI and CLAUDE agents across Spotify and Tidal with agent-driven playlist creation and Rekordbox XML export pipeline.
Crowdsource Ops Lab
Multi-model committee architecture (Don + Lens + Conductor + Bee) for crowdsourced deliberation with six-model parallel evaluation.

Tech Stack

Tools & Technologies:

MCP servers (Notion, Supabase, Spotify, Tidal, Postmates, Proton Drive), browser automation, voice interfaces (STT/TTS over WebSockets), OpenRouter gateway, GitHub Actions, Fly.io deploys, Vercel edge functions, Docker containers, Supabase Postgres, SQLite, SQL Server

Philosophy

Reliable: Every irreversible agent action requires human confirmation. No auto-execute. Ever.

Interpretable: Every prompt, model vote, and decision is logged to replayable audit trails.

Steerable: Agents run under codified laws, personas, and behavior doctrine — specified, versioned, tested.

Verified-or-nothing: No claim without verification. Cached values are not proof. Flag data conflicts instead of hiding them.

Research Focus

Multi-model convergence testing, adversarial validation, agent identity engineering (souls), gravity-well governance, human-AI partnership architectures for high-stakes environments:

  • Manufacturing workflows
  • Supply-chain triage
  • Legal records research
  • Medical decision support

What I'm Looking For

I'm not looking for a job where I use AI. I'm looking for a role where I make AI trustworthy in environments that matter — manufacturing, distribution, supply chain, operations.

If you're building AI for enterprises and you need someone who can:

  • Walk a plant floor and map the actual workflow
  • Design the eval framework with your engineering team
  • Show a CFO where the model pays for itself
  • Build the governance layer that makes it safe
  • Test every model under the sun and tell you which ones converge
  • Give your agents a soul so they don't drift

...let's talk.

Los Angeles / Miami / Remote

pwnetsuite@outlook.com

(213) 507-9439