ai × production

AI that ships, not just demos.

We build AI features that survive contact with real users: agents wired into your stack, retrieval over your data, and the evals and guardrails that keep them reliable once they’re actually live.

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# service file 06 / 06

› brandster init ai-development

✓ scope: agents · rag · llm apps

✓ stack: Claude · RAG · Vector DB · Evals · Agents · Guardrails

✓ status: booking q3 ’26

› brandster outcomes

98.4% eval pass · Prod not a demo · Grounded in your data

fig. 06 — ai development, specrev 2026.06

98.4%eval pass

Prodnot a demo

Groundedin your data

01 / what’s included

the work,
end to end.

One team owns the whole engagement, so the pieces fit together instead of fighting each other.

agents/

Agents & assistants

— Task-running agents integrated with the tools and APIs you run on.

rag/

RAG & search

— Retrieval over your data with grounded, cited, trustworthy answers.

models/

Model integration

— LLM, vision and voice wired cleanly into your product surface.

evals/

Evals & guardrails

— Measurable quality and safety you can confidently ship behind.

02 / how we work

four moves,
start to ship.

No 80-page decks. Tight loops — you see something real every week.

Frame

Pin down the task, the data and what “good” measurably looks like.

Prototype

Stand up the agent or retrieval flow fast to prove the approach.

Evaluate

Build evals so “it feels better” becomes a number we ship against.

Ship

Production release with guardrails, monitoring and fallbacks in place.

03 / questions

the
fine print.

Can’t find it? Ask us — we reply within a day.

A demo works once on a happy path. Production means evals, guardrails, fallbacks and monitoring so it keeps working when real users push on it in unexpected ways.

04 / keep exploring