Agents that carry a task through to a result
Planning, tools, memory, and checks in one loop. The agent breaks a task into steps, calls the right tools, checks against the rules, and drives it to a result — not just a single answer.
The work in numbers
We measure the agent by results, not demos. We track completion rate, accuracy, and skills — and surface them on dashboards you have access to.
Risk vs autonomy
X axis — autonomy, Y axis — cost of a mistake. We place every task on the map — and it’s immediately clear where the agent goes solo and where a human is needed.
Routine to the agent, risk to the human
Bottom-right — frequent and safe, the agent handles it alone. Up top the cost of a mistake is high — we keep a human in control.
Words from those who’ve already launched
Real feedback from people who launched a product that matters to them. Founders, CTOs, and product leads we worked alongside — not cherry-picked quotes.
· Parsewise®
They rebuilt the entire platform in 4 months. Speed tripled, and our team can finally maintain the code on its own.
· Wishboard®
From zero to 50,000 users in six months. They handled everything — design, code, and launch. We could focus calmly on the product.
· RLC®
We urgently needed five seniors. They embedded in the team, adopted our standards, and shipped features on par with our own developers.
· Blured®
Their AI agent handles 70% of support requests. Answers now take seconds, not hours.
About agents — the usual questions
A chatbot answers; an agent acts. It breaks a task into steps, calls tools (search, APIs, code), checks the result, and retries when needed until it’s done. A single prompt can’t do that.
Let’s talk about your agent
A 30-minute call to find a task for your agent. No commitment: we go through the task, the data, and the risks — and you leave with a written plan.
Book a call
30 minutes to scope the task: what the agent does, with what data, and where the risk is.
/02Agent prototype
We build an agent on your task, with tools and checks. We show it on real examples.
/03Guardrails and evals
We set the rules, limits, and control points. We run evals on a set of tasks.
/04Launch and monitoring
We connect to your systems, watch the metrics, and expand autonomy along the risk map.
Tell us your task
Projects by type grow year over year
MVP, redesign, AI and support — cumulative
The studio profile across key axes
Speed, quality, transparency, engineering
Research, design and build overlap
Parallel streams — not a waterfall