01 / Agentic
Agent infrastructure
The substrate production agents need: memory, tool-use, evaluation loops, observability, guardrails.
good fit when → your agent works in dev, breaks under real traffic
not a fit when → you're still validating whether to build an agent at all
02 / Agentic
AI integration
Embedding LLMs and agents into existing products without rebuilding the product around them.
good fit when → you have a real product and a small AI surface area to add
not a fit when → you want a brand-new AI-native greenfield product
03 / Systems
Distributed systems
Backend architecture, scaling, event-driven coordination, multi-tenant data isolation.
good fit when → traffic is growing faster than the architecture
not a fit when → you need a single-tenant CRUD app — you can do that in-house
04 / Systems
Data platforms
Pipelines, warehouses, analytics infrastructure that holds up when the dashboards stop being optional.
good fit when → analytics is becoming load-bearing
not a fit when → you're still in the spreadsheet era and want to stay there
05 / Engagement
Architect on call
Recurring senior review on a small retainer — design reviews, code reviews, second opinions.
good fit when → you have a team, but no one to bounce hard calls off
not a fit when → you need someone hands-on-keyboard daily
06 / Engagement
Discovery & due diligence
2-4 week engagement that ends with an architecture document and a recommendation you can act on.
good fit when → leadership needs an outside read before committing
not a fit when → the decision is already made and you want validation