Code Hunterz

AI Agents

We build agentic workflows for a defined job: a short sequence of steps against your tools, with limits, logs, and a human checkpoint.

Start a projectContact

The problem

An agent that can do anything is a liability. It will take a plausible next step that nobody asked for. Useful agents have a job, a tool list, and a reason to stop.

We design agents for bounded work such as triage, research inside a knowledge base, or assembling a draft from systems you name. If the task needs open-ended autonomy, we will talk you out of it.

What you get

Job definition

Inputs, allowed tools, and the outcomes that count as done or refused.

Tool wrappers

The agent calls your APIs. It does not get a password and a browser by default.

Checkpoints

Steps that pause for approval before a message is sent or a record is changed.

Trace

The steps the agent took on a given run, readable after the fact.

How the work runs

  1. 01

    Write the job

    One paragraph a new teammate could follow, including when to stop.

  2. 02

    List the tools

    Each tool has an owner and a permission. No tool, no action.

  3. 03

    Test refusals

    We spend as much time on cases the agent must decline as on cases it should finish.

  4. 04

    Shadow, then allow

    Early runs are recommendations. Writes are enabled only after you have seen the trace.

Stack

  • Tool-calling model APIs
  • Your internal APIs
  • Queues for long runs
  • Audit logs

Who it is for

  • Teams with a repetitive multi-step task across two or three tools
  • Support or research workflows that are documented but slow
  • Product companies exploring an agent as a feature, with a narrow brief

Reviews

What clients say about the work

“Collaborating with Code Hunterz on our complex website development project was a seamless experience. Their developers showcased exceptional technical skills and a deep understanding of our requirements. They made a fantastic website that streamlined our operations and enhanced efficiency. We look forward to working with them again.”

John Smith

Director

1 / 3

Questions

How is an agent different from automation?

Automation follows a path you drew. An agent can choose the next tool from a list you approved. Both need limits. We use an agent only when the path is not fully known in advance.

Can the agent email customers on its own?

Not in the first release. Outbound messages and record changes wait for approval until you have evidence the drafts are acceptable.

What happens when it is unsure?

It stops and reports what it could not do. Guessing a completed task is treated as a defect.

Do you build general personal assistants?

No. We build agents with a job description. A general assistant is out of scope.

AI Automation

Repetitive document and routing work automated with rules and models, and a person where a mistake is costly.

AI Integration

Model-backed features added to software you already run, with your data and your permissions.

Chatbot and LLM Apps

Assistants that answer from content you approve, and hand off when they should not guess.

Inquiry

Start a ai agents project

Describe the job and the timeline. We reply to the email address you enter. You can also reach us through the contact form.