Agent Groups

One Agent's perspective is rarely enough. Complex problems need multiple angles; creative projects thrive on diverse expertise; decisions benefit from structured debate. Agent Group Chat assembles a team of specialized Agents that work together like a real group — a research Agent, an analysis Agent, and a writing Agent each contributing their strengths to your task. You're not just getting an answer; you're running a coordinated process.

Pose a question or task, and each Agent responds from its area of expertise. They can build on each other's outputs, challenge assumptions, or work in parallel — depending on the mode you choose.

Why Not Just One Agent?

A single Agent can only analyze from one perspective
Expertise is bounded by a single predefined role
There's no back-and-forth to surface blind spots or trade-offs

Agent Groups fix all three.

Collaboration Modes

Agent Groups adapt to the task:

Sequential — Agents work one after another in a defined order. Example: Research Agent gathers information → Analysis Agent processes data → Writing Agent creates the final document. Best for linear workflows with clear handoff points.

Parallel — Multiple Agents tackle different aspects simultaneously. Example: Marketing Agent writes copy while Data Agent compiles metrics. Best for independent subtasks.

Iterative — Agents review and refine work through multiple rounds. Example: Writer creates draft → Editor provides feedback → Writer revises → Editor does final review. Best for high-quality output that requires polish.

Debate — Agents argue different positions. An advocate makes the case, a critic challenges assumptions, an analyst weighs evidence, and a mediator synthesizes conclusions. Best for complex decisions that benefit from structured disagreement.

About the Moderator

Every Agent Group includes a built-in moderator responsible for:

Understanding your goal and assigning tasks to the right Agents
Coordinating the order of contributions
Summarizing the discussion and extracting key conclusions
Keeping the conversation organized and on-topic

Create an Agent Group

Click Create Group in the left sidebar to get started.

When creating a group, you can start from an existing template or assemble your own team. Choose whether to include a moderator and select the model for it.

Configure an Agent Group

In the group chat session, select an Agent in the left sidebar to swap its model or remove it from the group.

Click Add Member in the left sidebar to bring additional Agents into the group.

Go to Group Profile in the left sidebar to edit the group prompt, add Skills, or change the moderator model. You can also use Agent Builder on the right panel — describe your goal and it will generate the complete group configuration, including settings, system prompts, and Skill setup.

Example Agent Groups

Content Creation Team

A sequential workflow for producing blog posts or articles:

Researcher — Gathers information, credible sources, statistics, and expert quotes
Writer — Writes an engaging draft using the research material
Editor — Reviews and refines for clarity, flow, and consistency
SEO Specialist — Optimizes keywords, headings, and meta description

Research Analysis Team

Data Collector — Gathers data from multiple sources and documents
Statistician — Analyzes data, calculates metrics, identifies patterns
Domain Expert — Interprets findings in the context of industry knowledge
Report Writer — Synthesizes insights into an executive summary

Software Development Team

Requirements Agent — Gathers needs and writes product requirements documents
Technical Architect — Designs system architecture and technical specifications
Developer — Writes implementation code and technical documentation
QA Tester — Reviews code, suggests test cases, identifies edge cases

Best Practices

Define clear roles — Each Agent should have a specific, well-defined responsibility:

❌ Vague: "Agent 1: Help with content"
✅ Clear: "Research Agent: Find 3–5 credible sources on the topic and summarize key points. Include statistics and expert quotes."

Avoid redundancy — Don't create multiple Agents with overlapping roles. Each Agent should bring unique value.

Set clear handoff points — In sequential workflows, define exactly what each Agent passes to the next. Example: "Research Agent outputs a Markdown document with sources, key points, and data. Writer Agent uses this as input to draft."

Right-size the team — More Agents does not mean better results. Start with 2–3 Agents and add more only as needed. Too many Agents slow the workflow without adding value.

Match models to tasks — Use capable models where reasoning matters; use faster, lighter models for straightforward steps.

Common Use Cases

Content production — Blog posts (research → write → edit → SEO), social media campaigns, documentation, video scripts.

Business analysis — Market research, competitive analysis, financial modeling, risk assessment.

Software development — Feature development (requirements → design → code → testing), code review, bug fixing, API design.

Creative projects — Story development, marketing campaigns, product naming, design critique.

Troubleshooting

Group responds too slowly — Reduce the number of Agents, use lighter models for simple steps, switch to parallel mode when possible, or simplify Agent system roles.

Inconsistent outputs — Add clearer role definitions, include shared guidelines in the group context, add a reviewer Agent, or lower the temperature setting.

Agents not collaborating well — Explicitly define what each Agent receives and produces, add transition instructions between Agents, or switch to sequential mode.

Poor quality results — Upgrade to a better model for critical Agents, add specialist Agents for key areas, include a quality-control Agent, or write more detailed system roles.