# Mission Control Phase 10 - Voxyz Architecture Design Complete

**Date:** February 22, 2026  
**Status:** ✅ Design Complete - Ready for Implementation  
**Design Document:** `/Users/mattbruce/Documents/Projects/OpenClaw/Documents/Research/AI Agents/Mission-Control-Phase10-Design.md`

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## What Was Designed

### 1. Database Schema for 6-Agent System
Created comprehensive SQL schema with 8 core tables:
- `ops_mission_proposals` - Pending/accepted/rejected proposals
- `ops_missions` - Mission state (approved/running/succeeded/failed)
- `ops_mission_steps` - Execution steps (queued/running/succeeded/failed)
- `ops_agent_events` - Event stream
- `ops_policy` - Behavior configuration (JSON)
- `ops_trigger_rules` - Trigger definitions
- `ops_agent_reactions` - Reaction queue
- `ops_action_runs` - Execution logs

### 2. Proposal Service Architecture
- Single entry point for ALL proposal creation
- Cap gate validation (fail fast)
- Auto-approval policy engine
- Direct mission creation on approval
- Event emission for audit trail

### 3. Closed Loop System
```
Propose → Auto-approve → Mission → Execute → Event → Trigger → React
```
- **Vercel (Control Plane)**: Approval, triggers, reactions, cleanup
- **OpenClaw VPS (Worker)**: Step execution
- **Supabase (State)**: All data storage

### 4. Cap Gates System
- Reject at proposal entry (not queue buildup)
- Daily mission limits
- Daily task creation limits  
- Notification quotas
- User-friendly rejection messages

### 5. Reaction Matrix (30% Probability)
- Default 30% reaction probability = "feels like a real team"
- Event-matched reaction rules
- Cooldown periods between reactions
- Template-based proposal generation
- Probability roll logging

### 6. Implementation Plan
- **Phase 10.1**: Foundation (database, core services)
- **Phase 10.2**: Execution Engine (worker, step executors)
- **Phase 10.3**: Triggers & Automation
- **Phase 10.4**: Reaction Matrix
- **Phase 10.5**: UI Integration

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## Key Design Principles from Voxyz

1. **Single Proposal Service**: No direct inserts — all proposals go through service
2. **Fail Fast**: Cap gates check quotas BEFORE creating proposals
3. **30% Probability**: Creates organic, human-like agent behavior
4. **Self-Healing**: 30-min stale step detection
5. **Policy-Driven**: All behavior in database (ops_policy), not hardcoded
6. **Architecture Separation**: Vercel = control plane, VPS = execution

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## Success Metrics

| Metric | Target |
|--------|--------|
| Daily missions auto-generated | 3/day |
| User approval rate | >80% |
| Trigger accuracy | >70% |
| Time saved vs. manual planning | 30 min/day |
| System uptime (autonomous) | 99% |

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## Next Steps (Implementation)

1. Create Supabase migration file
2. Implement ProposalService
3. Set up OpenClaw VPS worker
4. Build Mission Dashboard UI
5. Test closed loop end-to-end

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## File Location
**Design Document:** `/Users/mattbruce/Documents/Projects/OpenClaw/Documents/Research/AI Agents/Mission-Control-Phase10-Design.md`

**Document Size:** 63KB, 1,870+ lines

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## Phase 10 APPROVED ✅

**Date:** February 22, 2026 (6:42 PM CST)  
**Approved by:** Matt

**Design Status:** APPROVED  
**Task Status:** Updated to 'review' in Gantt Board  
**Ready for:** Implementation after Phase 9 completion

### What Was Approved
- Voxyz autonomous architecture for Mission Control
- 8-table database schema
- Proposal Service with Cap Gates
- Closed loop system (Propose → Auto-approve → Mission → Execute → Event → Trigger → React)
- Reaction Matrix (30% probability)
- Self-healing (30-min stale detection)

### Next Steps
1. Complete Phase 9 (Polish)
2. Create database tables (Phase 10A)
3. Build Proposal Service (Phase 10B)
4. Implement execution engine (Phase 10C)
5. Add triggers/reactions (Phase 10D)

**The autonomous future is approved and ready!** 🚀