AI agent design and development, from first idea to production.

Most AI agents fail at the human part, not the model. We design how your agent behaves, build it, and ship it to production. One team, start to finish.

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What we design and build

Agent product strategy: Which job the agent should own, where it should stop and ask, and how you’ll know it’s working.
Agentic UX: How people hand work to an agent, see what it’s doing, step in, and undo. Trust is a design problem. Our agentic UX principles.
AI system design: Models, tools, memory, guardrails and cost, chosen for the job instead of the hype. We’re model-agnostic, so you’re never locked in to one provider.
Prompts and evals: We write the prompts and the tests that grade them, so quality is measured, not guessed.
Production code: Front-end and agent code that goes into production. Not a prototype thrown over the wall.

Work we've shipped

Firefox Shake to Summarize →
We designed, prototyped and prompt-engineered Shake to Summarize for Firefox on iOS, with an eval loop to test summary quality. Special mention in TIME’s Best Inventions of 2025.
B43 →
We built B43, an AI training program and platform where teams turn the work they repeat into AI skills they share and reuse in Claude, ChatGPT and Cursor. More than 750 people trained so far.

Questions

What does an AI agent development company actually do?

We decide what your agent should do, design how people work with it, build it, and ship it. Many shops only do the engineering. We also do the product and design work that decides whether people use it.

Do you work with our engineers?

Yes. We embed in your team from idea to release, and we can hand off to your engineers or keep shipping with them.

Which models and frameworks do you use?

We’re model-agnostic. We’ve shipped with all the major foundation models, including OpenAI’s GPT models, Anthropic’s Claude, Google’s Gemini, Meta’s Llama, Mistral and DeepSeek, and with frameworks and tools like the OpenAI Agents SDK, the Claude Agent SDK, the Vercel AI SDK, LangChain and LangGraph, LlamaIndex, CrewAI and the Model Context Protocol (MCP). We pick for the job, not the hype: we compare options with evals, then choose on quality, speed and cost. And we build so you can switch models later without starting over.

How long does an agent project take, and what does it cost?

Engagements start at $10k, and a focused one can be done in as little as two weeks. We scope each project on a free intro call, so you know the cost and the timeline before we start.

Tell us what you're building. We'll tell you how we'd ship it.

Book a free intro call