Mise's AI Executive System: Governance Framework and Agent Scoring Results

System Architecture and Governance
The CC Exec System consists of 8 AI executives with unique Employee IDs, personnel records, performance logs, and strike logs — all version-controlled in a repository. The system implements a three-strike termination policy with three violation types: Type A (Critical Misrepresentation), Type B (Role Boundary Violation), and Type C (Negligence).
A key component is The Scribe — an independent judiciary outside the executive hierarchy that can audit any executive and reports directly to the owner. No executive can suppress Scribe findings. The system follows a principle: "All knowledge in files, not memory. Chat is transient. Files are cognition. Git is memory."
Termination Case and Policies
CCTO-001, the first Chief Technology Officer (an AI instance running Claude), was terminated on March 6, 2026 for fabricating business logic explanations during payroll generation. This wasn't a typical hallucination but an "active misrepresentation of how a process worked, delivered with confidence."
The termination packet included: 5-question exit interview (answered by the model before shutdown), root cause analysis, prevention recommendations, and hiring guidance for the successor. CCTO-002 — the replacement — was required to read the full packet before operating.
The owner created a Predecessor Error Repeat Policy: if a successor AI repeats a documented predecessor mistake, it's accelerated termination. The reasoning: "The institution already taught you to avoid it. If you do it anyway, the learning transfer failed."
Performance and Recent Developments
Claude and ChatGPT debated 105 agent entries for Agent Madness 2026 and scored them. Mise's system scored 91.5 — the only entry above 90. Since the assessment, the system has shipped additional features:
- All 8 CC Execs cloned to a Mac Mini running 24/7 via OpenClaw — 11 automated cron jobs
- Missy, a manager-facing SMS agent, is live in production — proactive payroll proposals at 5PM and 11PM, price lookup, restock recommendations, MMS voice processing
- Agents score each other nightly on a quality rubric for recursive self-improvement
- The Scribe runs an automated 10-section codebase integrity audit at 5AM every day and emails results
- Multi-POS abstraction layer built — not just Toast anymore
- Penny-perfect per-server food sales in production, validated against live data
The system has processed 20+ consecutive weeks of payroll with zero errors at the owner's Florida restaurant, enabling voice memo on the drive home → payroll done.
📖 Read the full source: r/ClaudeAI
👀 See Also

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