[teams]
Four disciplines, one room.
01
Engineering
Full-stack systems we run in production. Cloud infrastructure, real-time APIs, observability, on-call. The unglamorous parts that keep things up.
- TypeScript · Go · Rust
- Postgres · Redis · Kafka
- AWS · Vercel · Cloudflare
- Observability & on-call rigor
02
AI / ML
Applied AI: model integration, fine-tuning, retrieval, agents. We bridge to production. Evals over vibes.
- Retrieval & re-ranking
- Evals, not vibes
- HITL workflow design
- Agent orchestration
03
Design
Product and interface design that takes complexity seriously. AI systems should be easier to read than the prompt that built them.
- Systems & component libraries
- Interaction design for AI
- Information design
- Prototyping
04
Strategy
Technical advisory for teams adopting AI. Where to start, what to skip, what to ship first.
- AI readiness audits
- Roadmap & prioritization
- Vendor selection
- Workshops
How we engage
Sprint2–4 weeksDiscover and prototype. A working artifact by week three.
Build2–6 monthsAn embedded squad ships production software next to yours.
AdvisoryongoingFractional technical leadership for teams mid-rollout.