The challenge
What needed to be true.
Use AI for judgement, context and execution support while keeping evidence, permissions, approvals and the founder's actual bottleneck visible.
02 / 06Software2026
MONTY
Strategy translated into the next physical action.
Overview
A private strategy-to-execution operating system for running products, production work and long-term capability development without collapsing into another generic task manager.
The response
How the work was shaped.
Built an auditable Next.js and PostgreSQL system with project-scoped intelligence, a dependency-aware Road, controlled AI actions, performance evidence, calendar context and dedicated workspaces.
Evidence
Things that exist.
- 01Structured AI output validated before storage
- 02Explicit approval boundaries for consequential actions
- 03Commit-scoped repository intelligence
- 04Asset workspaces for Megaboom, Centurions and Robotics
Why it matters
A working private product that demonstrates applied AI architecture, product restraint and real operational depth rather than a chat wrapper.