Where most agent projects are
An agent that answers one question in a demo is easy. One that runs ten steps against real data, calls your APIs and recovers when step three fails is the hard part. Our engineers built the analysis agents in an analytics app used by 1.5M+ people: agents that wrote and ran Python in sandboxes.
What goes into an agent that holds up
Code execution, sandboxed
Agents that write and run code do it in a sandbox such as E2B, with LangChain or LangGraph planning the steps, recovery when one fails and results streamed to your users live.
Tools with guardrails
Agents act through your APIs, so every tool gets a narrow schema, input checks and permissions. Anything that spends money or deletes data waits for a person to approve it.
A checker ahead of the model
Before anything an agent writes runs against your data, a validator checks it. A model behind a strict check is more reliable than a bigger model working on its own.
Costs you can predict
Start each task on a cheaper model and escalate to a frontier one only after failed checks. Log every escalation, and within weeks you know which tasks need the expensive tier.
How it works
- 01
Pick a tier
Part-time, dedicated or embedded, from $4,000 a month. Tiers differ in hours and in how closely we work with your team.
- 02
Pick the first task
A senior engineer picks one task with you, gathers real examples of it and agrees what a correct run looks like first.
- 03
Ship and measure
Agents, tools and evals, every week. The engineer doing the work is the one on your calls. Change tier or stop any month.
Starting at $4,000/mo
Part-time from $4,000/month, month to month. Building a whole AI product from scratch? See our AI development company page. Need AI work beyond agents? Hire AI developers.
Talk to an AI engineer 
and 
have been with FormulaBot for 3+ years. We started as a simple English-to-SQL formula generator. It's now a 'chat with your data' product serving 1.5M+ users. They built it like it was theirs.
Work we've shipped
AI · Analytics
Better Analyst (formerly FormulaBot)
An analytics app used by 1.5M+ people. We built agents that write and run Python, SQL and R in sandboxes.
AI · MVP → Retainer
Performalise
An engineering analytics suite. We built the pipeline and AI models that read commits, PRs and sprint data.
AI · EdTech
QuizBot
AI that turns any text or URL into quizzes, with an API other products embed. 2,500+ users, then acquired.
How we can help
Four ways to work with us - pick what fits, switch when it doesn’t.
Audits
Find what's broken - or whether AI is worth it - before you build.
Learn moreMVP Sprint
Zero to production in 5-6 weeks. A real product, not a prototype.
Learn moreRetainer
A senior engineer embedded on your team, month to month.
Learn moreCode Rescue
Vibe-coded app breaking under real users? We rebuild it to hold.
Learn moreFAQ
Frequently asked questions
How much does AI agent development cost?
Most agent work runs on a retainer, from $4,000 a month for the part-time tier. A new product built around an agent can be an MVP Sprint, with one fixed price agreed before the build. Sprints start at $12,000. Not sure where an agent pays off? An AI audit, from $1,000, maps it first.
Which frameworks do you use for agents?
LangChain and LangGraph where they help, plain code where they do not, with OpenAI, Anthropic Claude or open models chosen per task by quality, cost and speed.
How do you stop an agent doing something harmful?
Narrow tools, permission checks on every action, and a person approving anything that spends money, sends messages or deletes data. Every run is logged, so you can see why it acted.
Can you add an agent to our existing product?
Yes. Most agent work goes into products that are already live. We work in your codebase and connect the agent to the APIs you already have.
Do we own everything you build?
Yes, 100%. You own the code, prompts, evals, docs and credentials.
