May 18, 2028AIExplore

How to Use Bloome for Role-separated agent teams

Learn Bloome role-separated agent teams with step by step workflows, realistic examples, and verified plan notes.

Bloome works well for role-separated agent teams when you run it like production work: locked brief, SOURCE facts, then review before publish. Bloome is a platform for human-agent teams in group chats where AI agents collaborate, review, and refine outputs. Public USD pricing not verified on the homepage. Confirm live details on bloome.im. Start at /explore/bloome.

This guide focuses on role-separated agent teams in detail. Related Bloome articles: /blog/how-to-use-bloome-for-iterative-output-critique-loops, /blog/how-to-use-bloome-for-market-brief-collaboration, /blog/how-to-use-bloome-for-verification-checklist-workflows.

When this workflow is the right job

Use role-separated agent teams when the deliverable is specifically this Bloome job. Switch to multi-agent research briefs when that workflow already owns the asset.

Step by step workflow

1. Brief Role-separated agent teams

Write what must stay true for role-separated agent teams in Bloome before settings or spend.

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

2. Open Bloome for Role-separated agent teams

Use the Bloome surface that owns role-separated agent teams. Do not mix a neighboring workflow in the same pass.

Surface: Role-separated agent teams
Start: pilot with one representative input
Plans: bloome.im

3. Pilot Role-separated agent teams

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

Pilot: Role-separated agent teams
[ ] SOURCE facts match
[ ] Output reviewable
[ ] Settings logged

4. Refine Role-separated agent teams

Change one role-separated agent teams dimension only. Save a template from the best run.

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

Practical role-separated agent teams examples

Retry cap

Scenario:
A builder configures Role-separated agent teams in Bloome 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 agent teams for Retry cap → Review → Cap retries → Scale

Requirements:
- Stay within verified Bloome capabilities; do not invent features.
- Confirm live plan notes on bloome.im 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 agent teams setup for Retry cap with roles, gates, and a successful pilot log.

Role charter

Scenario:
A builder configures Role-separated agent teams in Bloome 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 agent teams for Role charter → Review → Cap retries → Scale

Requirements:
- Stay within verified Bloome capabilities; do not invent features.
- Confirm live plan notes on bloome.im 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 agent teams setup for Role charter with roles, gates, and a successful pilot log.

Edge-case check

Scenario:
A builder configures Role-separated agent teams in Bloome 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 agent teams for Edge-case check → Review → Cap retries → Scale

Requirements:
- Stay within verified Bloome capabilities; do not invent features.
- Confirm live plan notes on bloome.im 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 agent teams setup for Edge-case check with roles, gates, and a successful pilot log.

Decision log

Scenario:
A builder configures Role-separated agent teams in Bloome 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 agent teams for Decision log → Review → Cap retries → Scale

Requirements:
- Stay within verified Bloome capabilities; do not invent features.
- Confirm live plan notes on bloome.im 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 agent teams setup for Decision log with roles, gates, and a successful pilot log.

Rate limit

Scenario:
A builder configures Role-separated agent teams in Bloome 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 agent teams for Rate limit → Review → Cap retries → Scale

Requirements:
- Stay within verified Bloome capabilities; do not invent features.
- Confirm live plan notes on bloome.im 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 agent teams setup for Rate limit with roles, gates, and a successful pilot log.

Error alert

Scenario:
A builder configures Role-separated agent teams in Bloome 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 agent teams for Error alert → Review → Cap retries → Scale

Requirements:
- Stay within verified Bloome capabilities; do not invent features.
- Confirm live plan notes on bloome.im 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 agent teams setup for Error alert with roles, gates, and a successful pilot log.

Stop condition

Scenario:
A builder configures Role-separated agent teams in Bloome 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 agent teams for Stop condition → Review → Cap retries → Scale

Requirements:
- Stay within verified Bloome capabilities; do not invent features.
- Confirm live plan notes on bloome.im 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 agent teams setup for Stop condition with roles, gates, and a successful pilot log.

Shared memory note

Scenario:
A builder configures Role-separated agent teams in Bloome 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 agent teams for Shared memory note → Review → Cap retries → Scale

Requirements:
- Stay within verified Bloome capabilities; do not invent features.
- Confirm live plan notes on bloome.im 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 agent teams setup for Shared memory note with roles, gates, and a successful pilot log.

Code exec off

Scenario:
A builder configures Role-separated agent teams in Bloome 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 agent teams for Code exec off → Review → Cap retries → Scale

Requirements:
- Stay within verified Bloome capabilities; do not invent features.
- Confirm live plan notes on bloome.im 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 agent teams setup for Code exec off with roles, gates, and a successful pilot log.

Human approve send

Scenario:
A builder configures Role-separated agent teams in Bloome 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 agent teams for Human approve send → Review → Cap retries → Scale

Requirements:
- Stay within verified Bloome capabilities; do not invent features.
- Confirm live plan notes on bloome.im 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 agent teams setup for Human approve send with roles, gates, and a successful pilot log.

Eval rubric

Scenario:
A builder configures Role-separated agent teams in Bloome 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 agent teams for Eval rubric → Review → Cap retries → Scale

Requirements:
- Stay within verified Bloome capabilities; do not invent features.
- Confirm live plan notes on bloome.im 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 agent teams setup for Eval rubric with roles, gates, and a successful pilot log.

Multi-turn plan

Scenario:
A builder configures Role-separated agent teams in Bloome 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 agent teams for Multi-turn plan → Review → Cap retries → Scale

Requirements:
- Stay within verified Bloome capabilities; do not invent features.
- Confirm live plan notes on bloome.im 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 agent teams setup for Multi-turn plan with roles, gates, and a successful pilot log.

Failure branch

Scenario:
A builder configures Role-separated agent teams in Bloome 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 agent teams for Failure branch → Review → Cap retries → Scale

Requirements:
- Stay within verified Bloome capabilities; do not invent features.
- Confirm live plan notes on bloome.im 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 agent teams setup for Failure branch with roles, gates, and a successful pilot log.

Owner per step

Scenario:
A builder configures Role-separated agent teams in Bloome 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 agent teams for Owner per step → Review → Cap retries → Scale

Requirements:
- Stay within verified Bloome capabilities; do not invent features.
- Confirm live plan notes on bloome.im 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 agent teams setup for Owner per step with roles, gates, and a successful pilot log.

Trace export

Scenario:
A builder configures Role-separated agent teams in Bloome 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 agent teams for Trace export → Review → Cap retries → Scale

Requirements:
- Stay within verified Bloome capabilities; do not invent features.
- Confirm live plan notes on bloome.im 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 agent teams setup for Trace export with roles, gates, and a successful pilot log.

Pilot then scale

Scenario:
A builder configures Role-separated agent teams in Bloome 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 agent teams for Pilot then scale → Review → Cap retries → Scale

Requirements:
- Stay within verified Bloome capabilities; do not invent features.
- Confirm live plan notes on bloome.im 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 agent teams setup for Pilot then scale with roles, gates, and a successful pilot log.

Coder agent

Scenario:
A builder configures Role-separated agent teams in Bloome 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 agent teams for Coder agent → Review → Cap retries → Scale

Requirements:
- Stay within verified Bloome capabilities; do not invent features.
- Confirm live plan notes on bloome.im 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 agent teams setup for Coder agent with roles, gates, and a successful pilot log.

Reviewer agent

Scenario:
A builder configures Role-separated agent teams in Bloome 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 agent teams for Reviewer agent → Review → Cap retries → Scale

Requirements:
- Stay within verified Bloome capabilities; do not invent features.
- Confirm live plan notes on bloome.im 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 agent teams setup for Reviewer agent with roles, gates, and a successful pilot log.

HITL gate

Scenario:
A builder configures Role-separated agent teams in Bloome 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 agent teams for HITL gate → Review → Cap retries → Scale

Requirements:
- Stay within verified Bloome capabilities; do not invent features.
- Confirm live plan notes on bloome.im 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 agent teams setup for HITL gate with roles, gates, and a successful pilot log.

Tool allowlist

Scenario:
A builder configures Role-separated agent teams in Bloome 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 agent teams for Tool allowlist → Review → Cap retries → Scale

Requirements:
- Stay within verified Bloome capabilities; do not invent features.
- Confirm live plan notes on bloome.im 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 agent teams setup for Tool allowlist with roles, gates, and a successful pilot log.

Sandbox sample

Scenario:
A builder configures Role-separated agent teams in Bloome 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 agent teams for Sandbox sample → Review → Cap retries → Scale

Requirements:
- Stay within verified Bloome capabilities; do not invent features.
- Confirm live plan notes on bloome.im 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 agent teams setup for Sandbox sample with roles, gates, and a successful pilot log.

How to improve role-separated agent teams

Cut noise from role-separated agent teams by removing extra adjectives while preserving SOURCE facts in Bloome.

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 agent teams job, audience, and success check before opening Bloome.

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

Specify the deliverable shape up front.

Call out fixed details versus flexible style choices.

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

Limitations to respect

Check Bloome plan gates for role-separated agent teams on bloome.im before you promise timelines.

Keep drafts unpublished until a human confirms SOURCE facts.

Bloome can be wrong. Treat role-separated agent teams 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 agent teams in Bloome.

Keep a reusable template with variables for role-separated agent teams.

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 agent teams in Bloome as a production workflow: brief, pilot, refine, then ship with review. Related reading: /blog/how-to-use-bloome-for-iterative-output-critique-loops, /blog/how-to-use-bloome-for-market-brief-collaboration, /blog/how-to-use-bloome-for-verification-checklist-workflows.