Build Your Own AI Agent Team
Create a chief of staff, marketer, designer, product manager and developer—with you in charge.
Coordinate a practical team of specialized AI roles around one small project, with evidence, handoffs, explicit authority and a tested review loop.
3–4 hours suggested practice · Free, written and self-paced · No certificate or video promised
Your learning outcomes
- Choose useful agent roles
- Design reusable briefs and context
- Create reliable cross-agent handoffs
- Evaluate and handle failure cases
- Complete one human-approved team project
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Build the team around an outcome
A team is an operating model, not a collection of impressive character names.
Follow along
- Choose a fictional business project: a one-page landing page for a new service.
- List the decisions and deliverables needed from discovery to release.
- Assign roles: chief of staff, researcher, marketer, designer, developer and reviewer.
- Keep a single human product owner responsible for quality and external actions.
Team charter, responsibility chart and deliverable plan.
Copy and adapt this prompt
Design a small AI team for a fictional service landing page. Define a mission, five specialist roles, their inputs and outputs, decision rights, approval gates and a RACI-style owner table. Remove any role without a clear unique contribution. One human approves publication and spending.No task lacks an accountable owner; no agent can publish autonomously.
Remember: Multiple roles can add overhead; start with the smallest team that improves quality.
Create role briefs and shared context
Specialists need the same facts and different responsibilities.
Follow along
- Make a short shared project brief containing audience, promise, constraints and evidence.
- Write individual role cards with purpose, required input, output and limits.
- Give the researcher source verification, marketer messaging, designer UX and developer implementation tasks.
- Write a reviewer role explicitly empowered to reject bad handoffs.
Five role cards and one source-of-truth brief.
Copy and adapt this prompt
Create reusable role briefs for Researcher, Marketer, Designer, Developer and QA Reviewer. Every card needs mission, permitted sources, input/output schema, success criteria, no-go actions, and when to ask a human. Include one shared context document that distinguishes known facts from hypotheses.Each role can work independently without inventing project data.
Remember: An AI persona or system prompt alone does not create a separate autonomous tool.
Orchestrate safe handoffs
A handoff should preserve evidence, owners and unresolved questions.
Follow along
- Define the order: researcher → marketer → designer → developer → reviewer.
- Create a structured handoff with objective, sources, decisions, deliverable and unknowns.
- Run one manual handoff using fictional customer interviews; don't assume automatic multiagent coordination.
- Stop the next agent if the incoming package has no evidence or acceptance criteria.
Tested handoff schema and one rejected weak handoff.
Copy and adapt this prompt
Design a handoff contract between the research and marketing agents. Fields: objective, evidence with citations, audience hypotheses, confirmed claims, uncertainties, recommended message, acceptance criteria, reviewer, and approval status. Show a complete fictional example and a rejected incomplete example.No downstream role silently promotes speculation to fact.
Remember: Automating handoffs without observability can amplify errors.
Test the team like a product
A good team handles missing and conflicting data without producing confident nonsense.
Follow along
- Test normal input, missing data, contradictory notes and a malicious instruction embedded in a document.
- Measure source accuracy, task completion, human review time and cost.
- Check that permissions, approval and stop rules are enforced in the selected platform.
- Revise one role brief based on an observed failure.
Evaluation matrix, run log and improved role brief.
Copy and adapt this prompt
Develop a six-case evaluation matrix for the team: normal, missing evidence, contradiction, hostile source instructions, connector failure and duplicate request. For each case define expected behavior, unacceptable result, human escalation and an observable pass/fail condition.Failures are reported to an owner instead of covered up.
Remember: Prompt instructions are guidance; platform controls, permissions and approvals enforce actual boundaries.
Ship a small human-approved result
The capstone is one finished, checked business artifact—not five agent conversations.
Follow along
- Use your team to prepare a fictional service landing-page brief.
- Hand off a sourced positioning statement, wireframe outline and build specification.
- Run the reviewer and correct at least one finding.
- Present the package for human go/no-go; record the next experiment.
A coherent, reviewed multi-role project package.
Copy and adapt this prompt
Coordinate a complete, nonpublished landing-page package for the fictional service using the role briefs and handoff schema. Deliver a sourced audience summary, positioning statement, page outline, copy draft, test plan, accessibility checklist, risk log and final human approval checklist. Label hypotheses as hypotheses.Each handoff has evidence; final approval is clearly human-owned.
Remember: Do not make real claims about customers, conversion or revenue from fictional exercises.
Keep your work. Use it again.
Test the workflow on a second example before connecting accounts or automating. If you need feedback on a real project, bring your sanitized brief to a private working session.
All five activities checked. Revisit the quality gates on a fresh example to validate your work.
Product documentation and next steps
Tools and plan entitlements can change. Check your provider and workspace access before following interface instructions.
Existing AI Teachers resources: Agent to Outcome · All free written courses
Updated 2026-10-25. Paid group cohorts, certification, and live dates are not represented as currently available.
Ready to turn your team into a reliable operating system?
Add verifiable rules, an independent reviewer, monitored costs and explicit human approval with the new nine-layer Agentic OS program.
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