AI agents that work as a team, with you in charge
For companies ready to go beyond a single chatbot. I design agent teams with clear roles, supervisors and human sign-off, so complex work gets done without losing control.
One AI agent can't do everything well
A single agent asked to research, write, check and decide will cut corners. Splitting the work between specialised agents, the way Grok Heavy runs several agents in parallel and compares their answers, gives better results, as long as someone designs how they coordinate and who checks their work.
- Human in the loop
- Supervisor agent
- Research agent
- Writer agent
- Review agent
What I do
Design the hierarchy
I split the work into roles, decide which agents supervise which, and where a person approves.
Build the agents
Each agent gets its own instructions, tools and memory, on the model that suits its job.
Add oversight
Logs, evaluations and escalation rules show you what every agent did and why.
Example use cases
Research and reporting
Research agents gather sources, a writer drafts and a reviewer checks the facts before a person signs off.
Content operations
Agents plan, draft and adapt content for several voices, with a human approval queue at the end.
Operations assistant
A supervisor agent routes requests to specialist agents for scheduling, data lookups and follow-ups.
Proof
How it works
- 01
Map the work
We break the process into tasks and decide which ones need a person's judgement.
- 02
Design the roles
I define each agent, its tools and who it reports to.
- 03
Build and test
I build the system and test it on real examples until the results are consistent.
- 04
Launch and monitor
The system goes live with monitoring, and I tune it based on what it gets wrong.
Frequently asked questions
- How is this different from a chatbot?
- A chatbot answers one question at a time. A multi-agent system splits a bigger job between specialised agents that check each other's work and hand off to people where it matters.
- How do we stay in control?
- Every agent's actions are logged, and the hierarchy has points where a person reviews or approves before anything important happens.
- Which models do the agents use?
- Whatever fits the job and your Deployment Option: Claude, OpenAI, Grok, Google or Microsoft models, or open-weight models on your own servers. Different agents can use different models.
Put a team of AI agents to work
In a free 30-minute call we'll look at a process you'd like to hand to a team of agents and what it would take.