Training
Operator-first courses across Agile, Lean, and AI operations. Each discipline tackles the same 70/30 reality: AI gets you ~70% of the way on its own; the durable value comes from how you capture that 70%, control the 30% with CAGE (Contracts, Actions, Ground truth, Escalation), and turn misses into assets.
How the disciplines connect
- Thinking in AI — signal literacy: read systems, write minimal contracts, know when to escalate.
- Agile AI — cadence & loops: thin slices, evals, Definitions of Ready/Done for prompts/retrieval.
- Lean AI — waste to value: WMF to convert failures into tests, guardrails, and compounding learning.
- AI CAGE Control — operations under turbulence: runbooks, validators, incident drills for the 30%.
Thinking in AI
Learn to think like an operator, not a tool user. Map vendor specifics to shared abstractions (signals, contracts, checklists). Master the 70/30 mindset and when to invoke CAGE to keep outcomes on rails.
Agile AI
Apply Agile discipline to AI work: thin slices over big bets, short feedback loops, prompt/eval versioning, and release gates. Ship reliable 70% wins while containing the 30% with deliberate experiments.
Lean AI
Use the Waste Monetization Framework (WMF) to turn “bad outputs” into assets. Capture → Classify → Convert → Codify → Compound. Reduce rework, control drift, and build a library of repeatable fixes.
AI CAGE Control
Ground control for turbulent moments. Practice CAGE with validator agents, incident cards, and escalation checklists so teams can diagnose quickly, act safely, and return to stable flight.
Formats: self-paced modules, cohort workshops, and on-site intensives. Audience: product leaders, architects, and operators.