Six shapes of AI system.
One-page spec, fixed price, weekly demos. If it won't fit on a page, we scope it smaller. Pick a shape below or see how we work.
AI copilots.
Chat interfaces with tool-use, wired into the systems your team already runs. They read your data, draft the work, hand it back.
- ship
- 3–4 weeks
- best for
- internal tools, support, ops
- engine
- Claude Sonnet · tool-use
RAG pipelines.
Retrieval that survives production. Eval harness from day one, so answers stay grounded when the corpus changes.
- ship
- 4–6 weeks
- best for
- docs, contracts, knowledge
- engine
- Claude · embeddings · reranker
Agent systems.
Tool-use loops with guardrails, human-in-the-loop checkpoints, and evals that catch drift before your users do.
- ship
- 4–6 weeks
- best for
- workflows, back-office, ops
- engine
- Claude · tool-use · loops
Voice & realtime.
Low-latency voice agents for intake, dispatch, and field use. Built for noisy rooms, not demo stages.
- ship
- 3–5 weeks
- best for
- intake, dispatch, field ops
- engine
- Claude · realtime · streaming
Workflow automation.
Job runners, schedulers, and event-driven pipelines that move work through your stack without a human in every loop.
- ship
- 2–4 weeks
- best for
- back-office, ETL, ops
- engine
- Claude · cron · queue
MCP integrations.
Model-Context-Protocol bridges that let Claude reach into the tools your team already uses — typed, audited, revocable.
- ship
- 1–3 weeks
- best for
- tool wiring, MCP servers
- engine
- Claude · MCP · OAuth
Not sure which shape?
30-minute call. We map your problem to the shape that fits — or tell you it doesn't.