The AI Operating System

• Codex acts as a harness that keeps context in project-local files—like 'agents.md' for routing rules—rather than treating every chat as a blank slate.5:14
• The system follows a four-part framework: Context (business info), Connections (external tool APIs), Capabilities (reusable skills), and Cadence (recurring automations).4:21
• Projects should move from manual onboarding to iterative audits, where the AI captures tacit knowledge through 'Grill Me' interviews and builds a wiki of business logic.

Operational Logic

• The most critical operational choice is separating deterministic automations—which should be scripted via API for reliability—from agentic workflows that require reasoning or vision.6:48
• Scheduled tasks inside Codex consume subscription usage; high-cadence automations should be migrated to external hosting platforms like trigger.dev using GitHub.2:21
• A benchmark of 15 use cases between GPT-6 Astra and Fable 5.1 showed no universal winner: Astra won 10 cases and was cheaper, but Fable proved superior for specific design and copy tasks.24:55

Business Framework

• Scaling AI consulting requires diagnosing the client's actual business constraint—rather than their requested deliverable—to identify a measurable KPI.262:09
• Consulting should rely on value-based pricing, aiming for roughly 10% to 20% of the annualized value, rather than hourly rates which reward inefficiency.277:46
• Relationships should be structured with objective, milestone-based payments and clear proof of impact to ensure the AI's contribution is credited to the developer.288:09