Service
AI Agent Engineering
A bounded agent that does one job, with named tools, a record of each decision, and a set of examples that show when it is wrong.
The problem
An open chat box answers everything and owns nothing. Teams need a worker with a job description, not another window that sounds confident.
Who it is for
Teams that can name one job a person repeats, and can say which systems that job is allowed to touch.
Use cases
Policy check
The agent reads a request, checks it against a written rule, and recommends an action.
Brief from two tools
It pulls from the two systems you name and writes a brief a person can finish.
A visible failure set
You get examples of wrong answers, not only a demo of the happy path.
Deliverables
- A job definition, the tools the agent may use, and the tools it may not.
- Traces of decisions on your sample work.
- A handoff so your team can run it without us in the room.
Limits
- We do not ship an unbounded public chatbot as the first release.
- We do not leave an agent unsupervised on live customer work on day one.
- We do not treat a fluent answer as a correct one.
How it runs
01
Write the job
One sentence for what done looks like, and a list of refusals.
02
Limit the tools
Each tool has a permission and a reason.
03
Score the samples
We keep the cases it gets wrong next to the cases it gets right.
04
Hand it over
You get the traces, the limits, and the person who owns it.
Questions
Is this the chatbot on the website?
No. This site has no open chat. An agent we build is a worker for a defined internal job.
Can it use our documents?
Yes, when the job needs them. We show the source it used. We do not train a public model on your files.