One calm place to direct AI across every product you run. Built and run across seven real ventures. Now open source.
The bottleneck was never typing speed. The gap between "AI writes code" and "product ships correctly" is an orchestration problem, not a coding problem.
Discuss, plan, execute, review, verify. AI does the work; you hold the gate. Nothing ships until you say so.
Not a framework or an IDE plugin — a structured set of prompts, templates, and conventions that make AI-directed work reliable across a portfolio.
The daily operating cadence: morning brief, a scoped Top 3, a running log, an end-of-day note, a weekly review. The forcing function that keeps work anchored to real goals instead of drifting into reaction.
A five-stage execution loop for any discrete piece of work: discuss → plan → execute → review → verify. Surface assumptions, decompose the goal, implement, check the diff, confirm the goal is met.
The definition of "done" at the code level: branch naming, commit format, promotion gates (feature → dev → staging → main), hotfix flow, env hygiene, and semantic versioning.
What's learned each session is captured and seeded into the next. Templates, examples, and patterns from real work accumulate — so context compounds instead of evaporating.
Maestro's generic core works with any AI tool. In practice it's the daily operating system behind a solo founder's whole portfolio — from a trading platform to an ERP to a beverage business.