AI products
LLM features that earn user trust — and keep it.
The short version
We design and ship AI features end to end: retrieval, agents, evaluation and the interface craft that makes automation feel trustworthy. Prototypes in days, production systems with evals and guardrails.
Deliverables
- ItemAI opportunity & feasibility mapping
- ItemRAG pipelines & knowledge architecture
- ItemAgent & copilot UX design
- ItemEvaluation harnesses & quality dashboards
- ItemGuardrails, red-teaming & responsible-AI reviews
- ItemCost & latency engineering
How a ai products engagement runs
Prove value small
A thin-slice prototype against real data in week one. If the demo does not impress, we stop.
Instrument everything
Evals, traces and feedback loops wired before launch — quality you can graph, not vibes.
Design for doubt
Citations, confidence cues, undo paths. Users should always know what the machine did and why.
Harden & hand over
Cost ceilings, fallbacks, prompt libraries and playbooks your team can operate.
Which models do you use?
Whatever fits the job and budget — frontier APIs, open-weight models, or hybrids. We benchmark on your data before recommending.
How do you measure quality?
Task-specific eval suites: golden datasets, rubric graders and human review loops, tracked per release like unit tests.
Is our data safe?
We design around your constraints: no-training APIs, VPC deployments, redaction layers — and we write the architecture down clearly.
Beacon Health: an AI triage assistant that knows when to stop talking
A primary-care network wanted an AI front door without the risk. We designed an AI triage assistant with red-flag escalation, clinician review and offline evals.
Meridian Climate: making council emissions data impossible to ignore
A scrollytelling climate data explorer that turned council emissions spreadsheets into a story residents actually read — and acted on.
Pylon Care: an AI support assistant that knows its limits
Pylon Health's support queue drowned in the same five questions. We shipped an AI assistant with citations, red lines and a kill switch — evals first.