Someone wants to use it.
Is it ready to ship?
Auth, data, operations. We narrow down what to check before launch, based on who you're serving and at what scale.
Discuss this topicFrom your first release to rebuilding for growth. What you need to decide changes with each phase.
Auth, data, operations. We narrow down what to check before launch, based on who you're serving and at what scale.
Discuss this topicIncidents, deploys, cost, team load. We find what to fix before growth hits — and what can still wait.
Discuss this topicBefore you rewrite everything: what to keep, what to replace first, and in what order — including the option of changing nothing.
Discuss this topicNot whether to use AI, but how much you can hand over. We look at your code and your team, and decide a realistic next step together.
Repos, tests, CI and reviews set up so coding agents can work without getting lost. We decide what to hand off and what people should still check.
Monitoring, alerts, incident response, routine work. Toward operations a small team can sustain — separating what AI decides from what people should own.
Your existing features and data, combined with AI, may do things that weren't possible before. From ideas to prototypes to something you can run in production.
A consultation-prep Skill for the AI you already use. It summarizes your current state and open questions from the repositories and MCP servers you point it at.
Using whatever you've prepared or already have, we work through the decisions you need to make to launch or to grow.

Distributed systems operations, developer environments, AI service design and implementation.
Working across disciplines, starting from your real system and constraints.
No retainer — one session at a time. No brief from the Skill required.