AI that earns a place in the product — not a demo that never ships
We design and build copilots, agents, RAG interfaces, and automation into React, Next.js, and your backends — grounded in real workflows, measurable quality, and safe handoffs.
AI delivery
Most AI projects stall between prototype and production. We close that gap: clear use cases, production-ready UX, model and tool integrations, and the observability to keep quality and cost under control.
You get one team for AI and web product — so the feature lands in your stack with the same craft as everything else we ship.
What we build
Four ways to put intelligence into your product — scoped to outcomes, not hype.
In-product assistants that draft, suggest, and accelerate everyday workflows.
Multi-step agents with tools, handoffs, and guardrails for real business processes.
Retrieval-augmented answers grounded in your docs, tickets, and product truth.
AI-assisted ops — classification, summarization, and routing wired into your stack.
Deliverables
From validated prototype to production feature with monitoring.
Chat, inline copilots, and agent review states.
Chunking, retrieval, citations, and freshness.
LLM providers, function calling, and backends.
Golden sets, cost, latency, and quality gates.
Process
De-risk AI early, then ship with quality gates you can defend.
Jobs-to-be-done, data access, and risk boundaries.
Fast POC with real users and failure cases.
Production UX, tools, guardrails, and logging.
Evals, usage, cost, and iteration loops.
Stack
AI toolkit
↓
manual busywork
↑
time-to-answer
1
squad for AI + product
FAQ
Usually not. We integrate models and ship the product experience on one squad alongside your existing web stack — so ownership stays clear after launch.
Related
Add intelligence
Describe the workflow you want to improve — we'll propose a realistic AI scope.
