Lean Value Tree
A structured approach to connecting strategic goals with operational outcomes.
Sustainable economic leverage through an AI-assisted personal operating system.
This North Star is supported by measurement-grade evidence discipline, source-of-truth control, policy, governance, and Prime Gate / Gate PM review.
The goal is not blind automation. It is controlled delegation: routine validation, evidence checks, and escalation boundaries are progressively moved through the system under Prime Gate / Gate PM review, while strategic control stays with the owner.
AIOS reduces low-value decision load so the owner can operate more like a CEO — setting direction, approving material trade-offs, and focusing attention on strategy, judgment, and leverage.
Strategic Layers
Strategic Control
Active- Objective
- Maintain decision authority and scope discipline across AI-assisted work
- Metric
- Decisions logged in KB / total decisions made
- Evidence
- GPT KB decision logs, cockpit governance v0.3 + R1
- Next move
- Continue weekly KB decision audit
Execution Leverage
Active- Objective
- Increase output per hour without losing review discipline
- Metric
- Reviewed artifacts shipped per week
- Evidence
- optimize-worker routing, Codex execution, Hermes review gate
- Next move
- Validate Streamlit harness stays as test surface, not cockpit
Workforce Efficiency
Drafted- Objective
- Operate as a one-person system with AI leverage, before scaling
- Metric
- Tasks routed without human re-routing
- Evidence
- optimize-worker capability registry, role definitions in KB
- Next move
- Define worker capability boundaries more strictly
Portfolio Proof
Drafted- Objective
- Demonstrate governance maturity through visible artifacts
- Metric
- Public-facing artifacts that pass external review
- Evidence
- This profile site (ai-os-profile), KB structure
- Next move
- Complete cockpit patch sequence 1-7, then external review
Opportunity Intelligence
Planned- Objective
- Detect money-creation triggers and route to right module
- Metric
- Triggers detected → modules activated → outcomes
- Evidence
- Supernova 10-module design, trigger criteria drafted
- Next move
- Activate first Supernova module on next real trigger
Monetization
Planned- Objective
- Convert governance maturity into sustainable revenue
- Metric
- Revenue events tied to AI OS leverage
- Evidence
- TBD — pending Supernova first signal
- Next move
- Design first revenue experiment after Portfolio Proof completes