Agent orchestration: supervisors, specialists & learning loops
How a supervisor coordinates micro-agents, a validator checks evidence, and evals and feedback improve the system.
Practical field notes on using AI, making product decisions, understanding data, and noticing the invisible structures behind everyday experiences.
How a supervisor coordinates micro-agents, a validator checks evidence, and evals and feedback improve the system.
A five-prompt workflow for finding weak assumptions before they become expensive decisions.
How to pair a success metric with downstream quality and unintended-harm guardrails.
A practical way to map throughput, constraints, and failure using an ordinary morning ritual.
A tiny practice for making valuable work legible without becoming performative.
What utilization, optionality, and feedback loops can teach us about buying fewer, better things.