AI Agent Development
An agent earns its keep when it can be trusted to finish real, multi-step work without someone watching every move. That trust is not a prompt. It is engineered, with tools, evaluations, and guardrails built around a job that genuinely matters.
What an AI agent actually does
An AI agent is a system that plans, calls real tools, and works through a task with as much or as little supervision as the risk warrants. The interesting part is rarely the model. It is the scaffolding around it: the tools it is allowed to call, the data it can read, the checks that stop it before a wrong action becomes an expensive one, and the point where a human steps in. We build agents for jobs that are repetitive and multi-step enough to hand off, but valuable enough to be worth doing right.
A demo agent that works in a controlled screen-share is not the same as one your team relies on when a customer is waiting. The gap is full of unhappy paths: bad inputs, tool failures, confidently wrong answers, and runaway cost. We are happy to tell you when a plain deterministic workflow is the better, cheaper answer. When an agent genuinely is the right tool, we build it to survive contact with production.
How we ship an agent
Pick the right job
We start from a workflow worth automating and confirm that an agent, not a simple script, is the honest answer.
Give it tools and limits
We wire the agent to your systems through well-defined tools, with permissions, cost ceilings, and a human in the loop where a mistake would hurt.
Measure before trusting
Evaluation harnesses score quality against real cases instead of vibing it, so improvements are provable and regressions get caught early.
Run it in the open
Observability shows exactly what the agent did and why, so you can operate it with confidence and tune it as the work shifts.
What you get
- An agent scoped to a real workflow, with the tool integrations it needs to complete it.
- Guardrails, permissions, and cost controls, so autonomy never means unbounded risk.
- An evaluation suite that measures answer quality on the cases that matter to you.
- Observability into every run, so a wrong answer is diagnosable, not mysterious.
- Senior engineers who operate it through its first weeks live, not just hand over a repo.
Whether you need a single agent to retire a manual process or a fleet coordinating across your stack, we scope the build around an outcome you can defend. Tell us the workflow and we will tell you honestly whether an agent is the right tool.
Related services
Frequently asked questions
What is an AI agent, and when do we actually need one?
An AI agent is a system that plans, calls real tools, and works through a multi-step task with as much or as little supervision as the risk warrants. You need one when a workflow is repetitive and multi-step enough to hand off, but valuable enough to be worth doing right. When a plain deterministic workflow would be cheaper and safer, we will tell you.
How much does it cost to build an AI agent?
A production agent scoped to a single workflow is priced per engagement, including the tool integrations, guardrails, and evaluation suite that make it trustworthy. The model is rarely the cost driver, the scaffolding around it is.
How do you stop an agent from taking a wrong or expensive action?
We wire agents to your systems through well-defined tools with permissions and cost ceilings, and keep a human in the loop wherever a mistake would hurt. An evaluation harness scores quality against real cases before we trust it, and observability records exactly what the agent did on every run.
What does it take to run an agent in production?
Beyond the model, an agent needs tool integrations, guardrails, cost controls, evaluations, and observability, plus someone accountable through the first weeks live. We operate the agent through that early period rather than handing over a repo and walking away.
Do you work with US-based companies?
Yes. We build for US startups and product teams, keep overlapping working hours, and scope each agent around an outcome you can defend to your own stakeholders.
Tell us what needs to work better.
Describe the outcome you're after. We'll scope the build and point you at the right first step.