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.