System Discovery
Best for: Teams that know something is broken but cannot yet name the shape of the problem.
- Workflow mapping
- Technical discovery
- Architecture review
- Risk & constraint analysis
- Recommended next steps
The interesting work usually lives one layer deeper than “build a feature”: clarifying the system, finding the bottlenecks, designing the right abstraction, and turning scattered domain knowledge into software that people can actually use.
Best for: Teams that know something is broken but cannot yet name the shape of the problem.
Best for: Small tools, prototypes, internal systems, automations, and integration work.
Best for: Teams wanting to use AI in a useful, controlled, and explainable way.
Best for: Founders or teams needing senior engineering thinking without hiring a full-time principal.
Map the system as it really is — the handoffs, exceptions, and bottlenecks — and agree on what the first useful version looks like.
Turn that into a lean plan: scope, the right abstraction, risks named up front, and a sequence we both believe in.
Implement in small, tested increments with visible progress, keeping you in the loop on judgment calls rather than surprises.
Ship with documentation, tests, and a clear path forward so the work survives without me in the room.
If something in your systems keeps biting people, let's map it and build the first useful version.
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