January 19, 2028AIExplore

How to Use AutoGen for Role-separated quality control

Learn AutoGen role-separated quality control with step by step workflows, realistic examples, and verified plan notes.

AutoGen works well for role-separated quality control when you run it like production work: locked brief, SOURCE facts, then review before publish. AutoGen is an open-source Microsoft framework for multi-agent applications where agents converse, plan, and execute tools collaboratively with human-in-the-loop options. Confirm current docs on the official AutoGen site. Start at /explore/autogen.

This guide focuses on role-separated quality control in detail. Related AutoGen articles: /blog/how-to-use-autogen-for-error-alert-and-retry-caps, /blog/how-to-use-autogen-for-multi-step-research-agents, /blog/how-to-use-autogen-for-decision-ownership-logging.

When this workflow is the right job

Use role-separated quality control when the deliverable is specifically this AutoGen job. Switch to coder and reviewer agent pairs when that workflow already owns the asset.

Step by step workflow

1. Brief Role-separated quality control

Write what must stay true for role-separated quality control in AutoGen before settings or spend.

Brief: Role-separated quality control
Keep: verified SOURCE facts only
Avoid: invented pricing or features
Success: one reviewable output

2. Open AutoGen for Role-separated quality control

Use the AutoGen surface that owns role-separated quality control. Do not mix a neighboring workflow in the same pass.

Surface: Role-separated quality control
Start: pilot with one representative input
Plans: microsoft.github.io/autogen

3. Pilot Role-separated quality control

Run a single role-separated quality control pilot. Score clarity, grounding, and whether the output is reviewable.

Pilot: Role-separated quality control
[ ] SOURCE facts match
[ ] Output reviewable
[ ] Settings logged

4. Refine Role-separated quality control

Change one role-separated quality control dimension only. Save a template from the best run.

Refine: Role-separated quality control
Change: one control only
Keep: SOURCE and success criteria

Practical role-separated quality control examples

Rate limit

Scenario:
A builder configures Role-separated quality control in AutoGen with focus "Rate limit".

Objective:
Define a multi-agent or agentic run for Rate limit with human gates.

Inputs:
- Goal for Rate limit
- Agent roles
- Tool allowlist
- Stop/approval conditions

Workflow:
Define roles → Connect tools → Pilot Role-separated quality control for Rate limit → Review → Cap retries → Scale

Requirements:
- Stay within verified AutoGen capabilities; do not invent features.
- Confirm live plan notes on microsoft.github.io/autogen before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Test on sandbox data before production volume.

Expected output:
A documented Role-separated quality control setup for Rate limit with roles, gates, and a successful pilot log.

Error alert

Scenario:
A builder configures Role-separated quality control in AutoGen with focus "Error alert".

Objective:
Define a multi-agent or agentic run for Error alert with human gates.

Inputs:
- Goal for Error alert
- Agent roles
- Tool allowlist
- Stop/approval conditions

Workflow:
Define roles → Connect tools → Pilot Role-separated quality control for Error alert → Review → Cap retries → Scale

Requirements:
- Stay within verified AutoGen capabilities; do not invent features.
- Confirm live plan notes on microsoft.github.io/autogen before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Test on sandbox data before production volume.

Expected output:
A documented Role-separated quality control setup for Error alert with roles, gates, and a successful pilot log.

Stop condition

Scenario:
A builder configures Role-separated quality control in AutoGen with focus "Stop condition".

Objective:
Define a multi-agent or agentic run for Stop condition with human gates.

Inputs:
- Goal for Stop condition
- Agent roles
- Tool allowlist
- Stop/approval conditions

Workflow:
Define roles → Connect tools → Pilot Role-separated quality control for Stop condition → Review → Cap retries → Scale

Requirements:
- Stay within verified AutoGen capabilities; do not invent features.
- Confirm live plan notes on microsoft.github.io/autogen before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Test on sandbox data before production volume.

Expected output:
A documented Role-separated quality control setup for Stop condition with roles, gates, and a successful pilot log.

Shared memory note

Scenario:
A builder configures Role-separated quality control in AutoGen with focus "Shared memory note".

Objective:
Define a multi-agent or agentic run for Shared memory note with human gates.

Inputs:
- Goal for Shared memory note
- Agent roles
- Tool allowlist
- Stop/approval conditions

Workflow:
Define roles → Connect tools → Pilot Role-separated quality control for Shared memory note → Review → Cap retries → Scale

Requirements:
- Stay within verified AutoGen capabilities; do not invent features.
- Confirm live plan notes on microsoft.github.io/autogen before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Test on sandbox data before production volume.

Expected output:
A documented Role-separated quality control setup for Shared memory note with roles, gates, and a successful pilot log.

Code exec off

Scenario:
A builder configures Role-separated quality control in AutoGen with focus "Code exec off".

Objective:
Define a multi-agent or agentic run for Code exec off with human gates.

Inputs:
- Goal for Code exec off
- Agent roles
- Tool allowlist
- Stop/approval conditions

Workflow:
Define roles → Connect tools → Pilot Role-separated quality control for Code exec off → Review → Cap retries → Scale

Requirements:
- Stay within verified AutoGen capabilities; do not invent features.
- Confirm live plan notes on microsoft.github.io/autogen before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Test on sandbox data before production volume.

Expected output:
A documented Role-separated quality control setup for Code exec off with roles, gates, and a successful pilot log.

Human approve send

Scenario:
A builder configures Role-separated quality control in AutoGen with focus "Human approve send".

Objective:
Define a multi-agent or agentic run for Human approve send with human gates.

Inputs:
- Goal for Human approve send
- Agent roles
- Tool allowlist
- Stop/approval conditions

Workflow:
Define roles → Connect tools → Pilot Role-separated quality control for Human approve send → Review → Cap retries → Scale

Requirements:
- Stay within verified AutoGen capabilities; do not invent features.
- Confirm live plan notes on microsoft.github.io/autogen before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Test on sandbox data before production volume.

Expected output:
A documented Role-separated quality control setup for Human approve send with roles, gates, and a successful pilot log.

Eval rubric

Scenario:
A builder configures Role-separated quality control in AutoGen with focus "Eval rubric".

Objective:
Define a multi-agent or agentic run for Eval rubric with human gates.

Inputs:
- Goal for Eval rubric
- Agent roles
- Tool allowlist
- Stop/approval conditions

Workflow:
Define roles → Connect tools → Pilot Role-separated quality control for Eval rubric → Review → Cap retries → Scale

Requirements:
- Stay within verified AutoGen capabilities; do not invent features.
- Confirm live plan notes on microsoft.github.io/autogen before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Test on sandbox data before production volume.

Expected output:
A documented Role-separated quality control setup for Eval rubric with roles, gates, and a successful pilot log.

Multi-turn plan

Scenario:
A builder configures Role-separated quality control in AutoGen with focus "Multi-turn plan".

Objective:
Define a multi-agent or agentic run for Multi-turn plan with human gates.

Inputs:
- Goal for Multi-turn plan
- Agent roles
- Tool allowlist
- Stop/approval conditions

Workflow:
Define roles → Connect tools → Pilot Role-separated quality control for Multi-turn plan → Review → Cap retries → Scale

Requirements:
- Stay within verified AutoGen capabilities; do not invent features.
- Confirm live plan notes on microsoft.github.io/autogen before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Test on sandbox data before production volume.

Expected output:
A documented Role-separated quality control setup for Multi-turn plan with roles, gates, and a successful pilot log.

Failure branch

Scenario:
A builder configures Role-separated quality control in AutoGen with focus "Failure branch".

Objective:
Define a multi-agent or agentic run for Failure branch with human gates.

Inputs:
- Goal for Failure branch
- Agent roles
- Tool allowlist
- Stop/approval conditions

Workflow:
Define roles → Connect tools → Pilot Role-separated quality control for Failure branch → Review → Cap retries → Scale

Requirements:
- Stay within verified AutoGen capabilities; do not invent features.
- Confirm live plan notes on microsoft.github.io/autogen before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Test on sandbox data before production volume.

Expected output:
A documented Role-separated quality control setup for Failure branch with roles, gates, and a successful pilot log.

Owner per step

Scenario:
A builder configures Role-separated quality control in AutoGen with focus "Owner per step".

Objective:
Define a multi-agent or agentic run for Owner per step with human gates.

Inputs:
- Goal for Owner per step
- Agent roles
- Tool allowlist
- Stop/approval conditions

Workflow:
Define roles → Connect tools → Pilot Role-separated quality control for Owner per step → Review → Cap retries → Scale

Requirements:
- Stay within verified AutoGen capabilities; do not invent features.
- Confirm live plan notes on microsoft.github.io/autogen before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Test on sandbox data before production volume.

Expected output:
A documented Role-separated quality control setup for Owner per step with roles, gates, and a successful pilot log.

Trace export

Scenario:
A builder configures Role-separated quality control in AutoGen with focus "Trace export".

Objective:
Define a multi-agent or agentic run for Trace export with human gates.

Inputs:
- Goal for Trace export
- Agent roles
- Tool allowlist
- Stop/approval conditions

Workflow:
Define roles → Connect tools → Pilot Role-separated quality control for Trace export → Review → Cap retries → Scale

Requirements:
- Stay within verified AutoGen capabilities; do not invent features.
- Confirm live plan notes on microsoft.github.io/autogen before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Test on sandbox data before production volume.

Expected output:
A documented Role-separated quality control setup for Trace export with roles, gates, and a successful pilot log.

Pilot then scale

Scenario:
A builder configures Role-separated quality control in AutoGen with focus "Pilot then scale".

Objective:
Define a multi-agent or agentic run for Pilot then scale with human gates.

Inputs:
- Goal for Pilot then scale
- Agent roles
- Tool allowlist
- Stop/approval conditions

Workflow:
Define roles → Connect tools → Pilot Role-separated quality control for Pilot then scale → Review → Cap retries → Scale

Requirements:
- Stay within verified AutoGen capabilities; do not invent features.
- Confirm live plan notes on microsoft.github.io/autogen before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Test on sandbox data before production volume.

Expected output:
A documented Role-separated quality control setup for Pilot then scale with roles, gates, and a successful pilot log.

Coder agent

Scenario:
A builder configures Role-separated quality control in AutoGen with focus "Coder agent".

Objective:
Define a multi-agent or agentic run for Coder agent with human gates.

Inputs:
- Goal for Coder agent
- Agent roles
- Tool allowlist
- Stop/approval conditions

Workflow:
Define roles → Connect tools → Pilot Role-separated quality control for Coder agent → Review → Cap retries → Scale

Requirements:
- Stay within verified AutoGen capabilities; do not invent features.
- Confirm live plan notes on microsoft.github.io/autogen before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Test on sandbox data before production volume.

Expected output:
A documented Role-separated quality control setup for Coder agent with roles, gates, and a successful pilot log.

Reviewer agent

Scenario:
A builder configures Role-separated quality control in AutoGen with focus "Reviewer agent".

Objective:
Define a multi-agent or agentic run for Reviewer agent with human gates.

Inputs:
- Goal for Reviewer agent
- Agent roles
- Tool allowlist
- Stop/approval conditions

Workflow:
Define roles → Connect tools → Pilot Role-separated quality control for Reviewer agent → Review → Cap retries → Scale

Requirements:
- Stay within verified AutoGen capabilities; do not invent features.
- Confirm live plan notes on microsoft.github.io/autogen before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Test on sandbox data before production volume.

Expected output:
A documented Role-separated quality control setup for Reviewer agent with roles, gates, and a successful pilot log.

HITL gate

Scenario:
A builder configures Role-separated quality control in AutoGen with focus "HITL gate".

Objective:
Define a multi-agent or agentic run for HITL gate with human gates.

Inputs:
- Goal for HITL gate
- Agent roles
- Tool allowlist
- Stop/approval conditions

Workflow:
Define roles → Connect tools → Pilot Role-separated quality control for HITL gate → Review → Cap retries → Scale

Requirements:
- Stay within verified AutoGen capabilities; do not invent features.
- Confirm live plan notes on microsoft.github.io/autogen before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Test on sandbox data before production volume.

Expected output:
A documented Role-separated quality control setup for HITL gate with roles, gates, and a successful pilot log.

Tool allowlist

Scenario:
A builder configures Role-separated quality control in AutoGen with focus "Tool allowlist".

Objective:
Define a multi-agent or agentic run for Tool allowlist with human gates.

Inputs:
- Goal for Tool allowlist
- Agent roles
- Tool allowlist
- Stop/approval conditions

Workflow:
Define roles → Connect tools → Pilot Role-separated quality control for Tool allowlist → Review → Cap retries → Scale

Requirements:
- Stay within verified AutoGen capabilities; do not invent features.
- Confirm live plan notes on microsoft.github.io/autogen before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Test on sandbox data before production volume.

Expected output:
A documented Role-separated quality control setup for Tool allowlist with roles, gates, and a successful pilot log.

Sandbox sample

Scenario:
A builder configures Role-separated quality control in AutoGen with focus "Sandbox sample".

Objective:
Define a multi-agent or agentic run for Sandbox sample with human gates.

Inputs:
- Goal for Sandbox sample
- Agent roles
- Tool allowlist
- Stop/approval conditions

Workflow:
Define roles → Connect tools → Pilot Role-separated quality control for Sandbox sample → Review → Cap retries → Scale

Requirements:
- Stay within verified AutoGen capabilities; do not invent features.
- Confirm live plan notes on microsoft.github.io/autogen before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Test on sandbox data before production volume.

Expected output:
A documented Role-separated quality control setup for Sandbox sample with roles, gates, and a successful pilot log.

Retry cap

Scenario:
A builder configures Role-separated quality control in AutoGen with focus "Retry cap".

Objective:
Define a multi-agent or agentic run for Retry cap with human gates.

Inputs:
- Goal for Retry cap
- Agent roles
- Tool allowlist
- Stop/approval conditions

Workflow:
Define roles → Connect tools → Pilot Role-separated quality control for Retry cap → Review → Cap retries → Scale

Requirements:
- Stay within verified AutoGen capabilities; do not invent features.
- Confirm live plan notes on microsoft.github.io/autogen before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Test on sandbox data before production volume.

Expected output:
A documented Role-separated quality control setup for Retry cap with roles, gates, and a successful pilot log.

Role charter

Scenario:
A builder configures Role-separated quality control in AutoGen with focus "Role charter".

Objective:
Define a multi-agent or agentic run for Role charter with human gates.

Inputs:
- Goal for Role charter
- Agent roles
- Tool allowlist
- Stop/approval conditions

Workflow:
Define roles → Connect tools → Pilot Role-separated quality control for Role charter → Review → Cap retries → Scale

Requirements:
- Stay within verified AutoGen capabilities; do not invent features.
- Confirm live plan notes on microsoft.github.io/autogen before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Test on sandbox data before production volume.

Expected output:
A documented Role-separated quality control setup for Role charter with roles, gates, and a successful pilot log.

Edge-case check

Scenario:
A builder configures Role-separated quality control in AutoGen with focus "Edge-case check".

Objective:
Define a multi-agent or agentic run for Edge-case check with human gates.

Inputs:
- Goal for Edge-case check
- Agent roles
- Tool allowlist
- Stop/approval conditions

Workflow:
Define roles → Connect tools → Pilot Role-separated quality control for Edge-case check → Review → Cap retries → Scale

Requirements:
- Stay within verified AutoGen capabilities; do not invent features.
- Confirm live plan notes on microsoft.github.io/autogen before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Test on sandbox data before production volume.

Expected output:
A documented Role-separated quality control setup for Edge-case check with roles, gates, and a successful pilot log.

Decision log

Scenario:
A builder configures Role-separated quality control in AutoGen with focus "Decision log".

Objective:
Define a multi-agent or agentic run for Decision log with human gates.

Inputs:
- Goal for Decision log
- Agent roles
- Tool allowlist
- Stop/approval conditions

Workflow:
Define roles → Connect tools → Pilot Role-separated quality control for Decision log → Review → Cap retries → Scale

Requirements:
- Stay within verified AutoGen capabilities; do not invent features.
- Confirm live plan notes on microsoft.github.io/autogen before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Test on sandbox data before production volume.

Expected output:
A documented Role-separated quality control setup for Decision log with roles, gates, and a successful pilot log.

How to improve role-separated quality control

Cut noise from role-separated quality control by removing extra adjectives while preserving SOURCE facts in AutoGen.

Raise quality by insisting on a single success check before debating style.

Make review easier by labeling fields that must never change.

Speed iteration by cloning the last good run and altering only one control.

Stabilize outputs by pinning settings after the pilot is approved.

Reduce rework by rejecting drafts that invent claims.

Improve handoffs by recording which control produced the best result.

Harden the workflow by testing an incomplete input before trusting defaults.

Prompting and usage guidance

Name the role-separated quality control job, audience, and success check before opening AutoGen.

Paste only verified facts under SOURCE so AutoGen cannot invent details.

Specify the deliverable shape up front.

Call out fixed details versus flexible style choices.

Ask AutoGen to flag unsupported claims before you accept the draft.

Limitations to respect

Check AutoGen plan gates for role-separated quality control on microsoft.github.io/autogen before you promise timelines.

Keep drafts unpublished until a human confirms SOURCE facts.

AutoGen can be wrong. Treat role-separated quality control as provisional until review.

If documentation is silent on a claim, leave it out rather than guessing.

Practical tips for this workflow

Pilot once before batching role-separated quality control in AutoGen.

Keep a reusable template with variables for role-separated quality control.

Separate creative instructions from SOURCE facts.

Log settings from the best run.

Common mistakes

Skipping the pilot run before scaling volume
Inventing pricing, quotas, or features not on official pages
Mixing unrelated workflows in one session
Publishing without a human review gate

Treat role-separated quality control in AutoGen as a production workflow: brief, pilot, refine, then ship with review. Related reading: /blog/how-to-use-autogen-for-error-alert-and-retry-caps, /blog/how-to-use-autogen-for-multi-step-research-agents, /blog/how-to-use-autogen-for-decision-ownership-logging.