Each agent has a role, tools, and a model. Together, they handle the repetitive, time-consuming work — so your team can focus on strategy, creativity, and growth.
An agent team works like a high-performance human team — but faster, cheaper, and without downtime. An orchestrator breaks down the objective into steps, assigns each step to the right specialist, and runs independent tasks in parallel.
Receives the objective. Designs the execution plan as a task graph. Decides who does what, in what order, in parallel where possible. Adapts if a step fails.
Each agent has a single job: Scout searches, Analyst synthesizes, Writer produces, Validator checks, Publisher deploys. The right model for each role.
Results go directly into your infrastructure — CMS, database, dashboard, Slack, Telegram, API. No copy-paste. No human relay. End-to-end.
The right pattern depends on whether your workers need to talk to each other.
The main agent spawns them, they run in parallel, and they return their output. No cross-communication. Lower token cost. The right call for focused tasks where only the result matters — not the reasoning path.
A team lead assigns tasks through a shared list. Teammates communicate directly, challenge each other's findings, and converge without going back through the main agent. Right for complex work that benefits from parallel exploration and internal debate.
| Subagents | Agent Teams | |
|---|---|---|
| How it works | Spawned by the main agent, run in isolation, return results | Teammates share a task list and message each other directly |
| Coordination | Main agent controls all sequencing | Self-coordinated — teammates claim and hand off tasks |
| Communication | Results only, back to main agent | Bidirectional between all teammates |
| Best for | Focused tasks with clean, contained outputs | Complex work needing debate and parallel exploration |
| Token cost | Lower — results summarized back to main context | Higher — each teammate runs as a full independent instance |
Deploy agent teams that handle content generation, reporting, and publishing — so your team spends less time on execution and more time on strategy. A research agent finds the data, a writing agent produces the content, a publishing agent puts it live. In minutes.
Works for any industry that produces information repetitively: media, e-commerce, legal, finance, real estate, marketing agencies.
Explore Create →Deploy intelligence agent teams that continuously scan your competitive landscape. Competitor moves, keyword positions, industry signals, AI citation patterns — monitored without pause, synthesized into actionable briefings.
Agents process more signals in one night than a human analyst does in a month. Weekly briefings delivered automatically. Alerts triggered the moment something changes.
Explore Monitor →Deploy operations agent teams that run trigger-based workflows end-to-end — no human in the loop. A position drops, an agent researches and publishes the fix. A schema breaks, an agent patches and redeploys. A competitor launches a campaign, an agent drafts your response.
Set the conditions. Define the output. Agents handle everything in between.
Explore Automate →Design your agent team once. Deploy it anywhere. Scale without hiring.
Three examples. Infinite possibilities.
A media company deploys a 6-agent content team. Every morning, agents identify trending topics, research sources, draft articles, and generate visuals — ready for editorial review when the team arrives.
An e-commerce brand deploys market intelligence agents. Every Monday at 6am: competitor pricing changes, new product launches, and keyword movement — synthesized into a 2-page brief, waiting in the team's inbox.
An agency deploys an operations agent team. A client's ranking drops overnight — agents detect it at 3am, analyze the gap, produce the fix, and have a new article ready for review by 7am.
Tell us your workflow. We'll design the agent team that runs it.