What is an agent team?

An agent team is a group of AI agents assigned to separate roles so they can split one goal into owned tasks, communicate, review work, and produce one final result with evidence.

When should I use a role-based AI team?

Use a role-based AI team when the work benefits from parallel research, independent review, different tool permissions, or a lead agent that merges separate findings. Avoid it for simple sequential tasks.

Does Ogenta replace Claude Code or Grok Bot?

No. Ogenta gives you a neutral setup flow, templates, and run payloads that can be used with its managed runner or exported to Claude-style, Grok Bot-style, or generic multi-agent workflows.

Ogenta Agent Team: Run AI Teams with Proof

Agent team meaning

Build an agent team that knows who owns the work, which tools are allowed, and when the result is ready.

An agent team is a group of AI agents assigned to different roles so they can work on one goal with task ownership, communication rules, review points, and evidence. Build and run agent teams with Ogenta when the job needs separate owners, a visible review gate, and one final result people can actually trust.

The practical value of an agent team is separation of concerns. A Researcher can collect current sources, a Maker can draft the artifact, a Reviewer can challenge unsupported claims, and the Lead can merge the judgment into one result. That costs more coordination than a single agent. It is worth it when the job has parallel research paths, conflicting assumptions, or a result that should be reviewed before someone acts on it.

Ogenta agent team flow showing a roster, task board, review gate, and transcript timeline

Agent Team concepts Agent Team getting started OpenAI multi-agent guide

Runtime choice

Choose the runtime before you choose more agents.

Different runtimes use the same team words for different mechanics. Claude Code teams are strongest when separate Claude Code sessions need a lead, shared tasks, and messaging. Grok Bot is better framed as a teammate workflow around messages, rosters, tools, browser use, shared context, approval requests, and transcripts. OpenAI's Agents SDK explains multi-agent orchestration as either LLM-led routing or deterministic code-led orchestration. Ogenta keeps those ideas separate so a template can be exported without pretending every platform works the same way.

Ogenta Runner Default path for a controlled run payload, policy checks, status events, transcript review, and copyable output.

Claude-style team Use when teammates need explicit messaging, shared task lists, and cross-session review inside Claude Code.

Grok Bot-style team Use when message threads, teammate roles, tool boundaries, approval requests, and transcript review fit the work.

Generic multi-agent Use when you need a portable prompt, a role roster, and a review checklist for another orchestration layer.

Claude Code teams

Template library

Start from a proven team shape, not a blank prompt.

Every template includes a lead, teammates, allowed tools, the first task, a review gate, a stop condition, and failure modes. Copying only a nice prompt is too fragile. The permission boundary is part of the template.

Qwen Code multi-agent coordination

Team setup

Turn a clear goal into a runnable team payload.

Use the setup flow for a small first run. Keep the goal specific, name the final artifact, limit tools, and make the review gate visible before the team starts.

Goal Good goals name the work, the audience, and the decision the result should support.

Final artifact

Template

Team size

4

Runtime

Risk level

Tool boundary

The default setup is ready to prepare.

Runner console

Watch the run state and Execution transcript before trusting the result.

draft validating queued waiting approval running reviewing completed failed timed out policy denied quota exceeded cancelled

Loading run limit... No run yet

Prepare a run to see the roster, permissions, payload, and next action.

High-risk actions such as public posting or production deployment are routed to approval instead of being executed from a guest run. The default Ogenta local runner creates status events, a transcript-ready result, artifacts, and a recovery link. A connected control plane can replace the local runner when a team needs longer work.

Saved team workspace

Save the setup, share a review link, and recover the run.

A useful team setup should outlive one browser session. Save the current payload after a run, open a read-only review link for the sections you choose, and keep the original run recoverable from its run id.

Runtime prompt blocks

Copy the right prompt block for the runtime you use next.

The setup flow keeps the same goal, roles, tool boundary, review gate, and stop condition across runtime styles. Copy one block when you need a human-approved handoff outside the web runner.

Setup

Role Brief

Review

Handoff

Safety and recovery

Reliable teams need visible controls.

Role-based AI teams fail when nobody owns the merge, every role sees every tool, or the review gate is vague. Ogenta makes those boundaries visible: no run starts without a goal, artifact, team size, selected tools, risk level, and review rule. A retry creates a new attempt. A cancel preserves the transcript that already exists. A share link should show only the sections the owner allowed. That is slower than magic-language automation, but it is easier to audit and easier to trust.

Goal names a concrete artifact Lead owns task split and merge Each teammate has a role and first task Tool boundary is explicit Review gate blocks weak evidence High-risk actions require approval Export is copied before scaling up

OpenAI orchestration patterns

API contract

The web runner and API use the same payload shape.

POST /api/agent-team-runs
Idempotency-Key: setup-run-001

{
  "goal": "Plan a launch brief for a team feature",
  "template": "product-launch",
  "runtime": "ogenta",
  "riskLevel": "medium",
  "teamSize": 4,
  "allowedTools": ["web_research", "local_files"],
  "finalArtifact": "Launch brief and review checklist"
}

GET /api/agent-team-runs/{runId}
GET /api/agent-team-runs/{runId}/events
GET /api/agent-team-runs/{runId}/artifacts/{artifactId}
POST /api/agent-team-runs/{runId}/cancel
POST /api/agent-team-runs/{runId}/retry
POST /api/saved-teams
PATCH /api/saved-teams/{savedTeamId}
POST /api/saved-teams/{savedTeamId}/share
POST /api/team-shares/{shareId}/revoke

Expected response: a run id, status, event stream URL, and recovery URL. The event stream supports Last-Event-ID so a client can continue after a refresh.

Approval response: high-risk guest requests return waiting approval or policy denied with a safe alternative.

Recovery response: retries keep the old attempt and append a new one, so the transcript does not lose evidence.

Scoped API keys: Bearer keys can be limited to runs:create, runs:read, teams:save, teams:read, teams:share, or read-only review access.

Access and limits

The free handbook gets you from idea to first run.

The public handbook, setup flow, and exports are free to use. Ogenta keeps the first run low-friction: read the handbook, choose a template, prepare the payload, run a local transcript, save the setup, create a review link, copy the result, or export prompts without creating an account. High-risk actions such as public posting, production deploys, account changes, payment work, or destructive changes wait for approval instead of running from a guest session.

Free handbook Definitions, source links, templates, setup flow, API shape, copy, and export.

Managed runner Starts with a local evented run and can use a connected Ogenta runtime when longer controlled execution is needed.

Approval path External or irreversible actions use waiting approval, policy denial, retry, and preserved transcript states.

FAQ

Common decisions before the first run.

What makes an agent team different from subagents?

Subagents are usually called by one controlling agent for bounded subtasks. An agent team is useful when teammates need more explicit ownership, messaging, review, and a lead that merges work into one final result.

Should every project use a four-agent roster?

No. Four roles are a good default for work that needs research, building, and review. Use two roles for simple work, and move toward five or six only when the added role removes a real bottleneck.

What should the first team run do?

Run a small job with a visible artifact: a brief, a checklist, a test plan, a source map, or a draft. Avoid irreversible actions until the transcript proves the team follows the boundary you set.

Can I recover a run after refreshing the page?

Yes. Ogenta keeps a run id in the URL after a run starts. Open that recovery URL to reload status, attempts, events, usage, and artifacts without creating a duplicate run.