AI features that ship, not just demo.
LLM features, RAG pipelines, and human-in-the-loop workflows engineered for accuracy, cost control, and the failure modes that demos never show.




6–10 wk
Avg time to MVP
100%
Code ownership
Senior
Team only
1st pass
Store approvals
The patterns we see on every project.
We've shipped AI products products across multiple teams. These are the patterns we plan around from sprint one.
- AI demos that fall apart on real customer data
- Token costs that wreck unit economics at scale
- Hallucinations with no audit trail
- Prompt regressions you only catch in production
Same framework, AI Products-specific details.
Discover
Tight scoping sprint with the AI product team to pin product surface, success metrics, and the smallest billable wedge.
Design
End-to-end flows in Figma — every screen, every state — sign-off in days not weeks.
Build
Production-grade engineering on an opinionated stack chosen for AI product. Daily demos, weekly releases.
Launch & Scale
Soft launch, observability from day one, and a clean handoff doc so your team can own and extend the codebase.
The pieces that ship together.
Each AI products engagement bundles the components below. We don't sell modules — we ship products.
- RAG pipelines (pgvector, Pinecone, Weaviate)
- LLM evals + prompt regression tests
- Structured-output + tool-use orchestration
- Human-in-the-loop review consoles
- Cost + latency observability
- Multi-model routing & fallback
Common AI Products questions.
Which models do you use?
+
Whatever fits the task — GPT, Claude, Gemini, open-weight via Bedrock or Together. We benchmark for accuracy and cost on your data, not generic leaderboards.
How do you handle hallucinations?
+
Structured outputs, retrieval grounding, evals on real data, and human-in-the-loop on anything customer-facing. We design for what to do when the model is wrong.
Ready to build your AI Products product?
Free 30-minute strategy call. We'll scope your AI products project, surface technical risks early, and tell you honestly if we're the right team.
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