An agent team builder shapes a coordinated system of AI agents by defining who leads, who works, what each role can use, and how delegated results return to the shared task.
From one prompt to a team operation.
An agentic team is useful when the work benefits from separate perspectives or parallel execution. The goal is not more agents; it is clear ownership, controlled access, and results that integrate cleanly.
Own the objective
The Director interprets the request, splits the work, selects the right specialists, and assembles their outputs into a final result.
Define expertise
Workers receive focused responsibilities such as architecture, implementation, research, review, or quality assurance.
Set behavior
Instructions and personas shape how each worker reasons, communicates, escalates uncertainty, and reports completion.
Match model to job
Choose a fast model for routine checks, a deeper model for architecture, or a local model where proximity matters.
Grant exact access
Give each role only the file, command, browser, or external tools its assignment actually requires.
Choose the next crew
Target one teammate, a selected group, or the whole team, then choose the project directory where their worker sessions start.
Route each task deliberately.
The team pattern defines who can participate; the next-task selector decides who should participate now. The choice remains available while work is running and clears after the message is sent.
Use the specialist
Send a focused task directly to the role built for it instead of asking the Director to choose again.
Coordinate the right crew
Choose several roles or everyone. Baux requires useful delegation to each selection and blocks substitutions.
Pin the file scope
Choose an existing directory inside the Director's project. Traversal, missing paths, files, and symlink escapes are rejected.
Agent, workflow, or agentic team?
The right shape follows the problem. Use the smallest system that can do the work without hiding responsibility or adding coordination overhead.
| Pattern | Best for | Coordination | Tradeoff |
|---|---|---|---|
| Single agent | Focused tasks with one clear line of work | One loop owns the whole task | Context and expertise must fit one role |
| Fixed workflow | Repeatable processes with known steps | Predefined sequence or graph | Less adaptive when the task changes shape |
| Agentic team | Complex work that benefits from specialists or parallelism | Director delegates to role-based workers | Needs visible state and disciplined handoffs |
A practical team design checklist.
Start with boundaries and outputs. A useful role has a concrete job, the minimum access required, and a report another agent or person can evaluate.
- Name one owner for the overall objective
- Give every worker a distinct responsibility
- Specify expected artifacts and completion criteria
- Assign tools and models per role, not globally
- Choose the teammate group and worker directory per task
- Choose serial or parallel delegation scheduling
- Keep delegation, output, tokens, and cost visible
Five built-in patterns or a custom harness.
Software Team, Research Lab, Bug Hunt, Code Review, and Schoolhouse ship ready. Start from a proven shape, edit any role, or define a custom team for the way your organization already works.
Design, build, verify
Coordinate architecture, implementation, and QA roles while keeping each worker's session, tools, and report inspectable.
Research, debug, review, teach
Use Research Lab, Bug Hunt, Code Review, or Schoolhouse when the work benefits from a purpose-built handoff loop.
Make the pattern yours
Define the Director and worker roles, personas, providers, tools, and scheduling style that fit your own process.
Agent team builder FAQ.
Core questions about configuring and operating multi-agent teams.
What is an AI agent team?
An AI agent team is a coordinated group of agents with separate roles, tools, models, and responsibilities working toward a shared outcome.
What does an agent team builder configure?
An agent team builder configures the team structure, Director, worker roles, instructions, personas, model choices, allowed tools, and scheduling behavior.
Can I select who gets the next task?
Yes. Route the next prompt to one teammate, a selected group, or the whole team and choose the existing project directory where their worker sessions run. Baux enforces both selections at delegation time.
Can an agentic team use different models?
Yes. In Baux, different roles can use different cloud or local models so the model choice can match each worker's task.