> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Next Steps

> Add teams, workflows, scheduled tasks, and interfaces to your agent platform.

You now have a deployed agent platform with evals, JWT auth, and a set of coding-agent skills that cover the full lifecycle: create → improve → evaluate → maintain.

The sections below cover the next level: teams and workflows for multi-step logic, scheduled tasks for proactive runs, and interfaces that put your agents where your users are.

## Going beyond agents

| Pattern | Use it when | Reference |
| - | - | - |
| **Agent** | A single LLM with tools and instructions can handle the request. | [Agents overview](https://agno-v2.mintlify.site/agents/overview.md) |
| **Team** | Multiple specialists should route, coordinate, or collaborate. | [Teams overview](https://agno-v2.mintlify.site/teams/overview.md) |
| **Workflow** | The process needs explicit steps, branches, loops, or parallel execution. | [Workflows overview](https://agno-v2.mintlify.site/workflows/overview.md) |

Teams come in four modes:

| Mode | Behavior |
| - | - |
| **Coordinate** | A leader plans the work, calls the right specialists, synthesizes. |
| **Route** | A router picks one specialist to handle the request. |
| **Broadcast** | Every specialist runs in parallel; the leader synthesizes. |
| **Tasks** | A leader breaks the goal into a task list, delegates tasks to members, and loops until every task is complete. |

## Scheduled tasks

The scheduler is on by default in `app/main.py`, and the template prepares two workflows for scheduled runs:

| Workflow | What it does when enabled | Default |
| - | - | - |
| **Deployment check** | Checks daily that AgentOS is wired correctly. | On. Set `ENABLE_DEPLOY_CHECK=False` to disable. |
| **Run evals** | Runs the `smoke`-tagged eval cases daily. | Off. Enable it from the AgentOS UI. |

Schedule your own agents and workflows the same way:

| Use case | Example |
| - | - |
| **Maintenance** | Purge sessions older than 90 days. Vacuum Postgres tables. |
| **Proactive runs** | Every weekday morning, summarize overnight news and post to Slack. |

See [Scheduler](https://agno-v2.mintlify.site/agent-os/scheduler/overview.md) for the cron API.

## Connect to interfaces

Connect agents to Slack, Telegram, WhatsApp, or a custom UI inside your product.

Expose the agent via an interface in `app/main.py`:

```python theme={null}
interfaces: list = []
if SLACK_BOT_TOKEN and SLACK_SIGNING_SECRET:
    from agno.os.interfaces.slack import Slack

    interfaces.append(
        Slack(
            agent=agent_builder,
            streaming=True,
            token=SLACK_BOT_TOKEN,
            signing_secret=SLACK_SIGNING_SECRET,
            resolve_user_identity=True,
        )
    )

agent_os = AgentOS(
    ...,
    interfaces=interfaces,
)
```

| Interface | Reference |
| - | - |
| Slack | [Slack interface](https://agno-v2.mintlify.site/agent-os/interfaces/slack/introduction.md) |
| Telegram | [Telegram interface](https://agno-v2.mintlify.site/agent-os/interfaces/telegram/introduction.md) |
| WhatsApp | [WhatsApp interface](https://agno-v2.mintlify.site/agent-os/interfaces/whatsapp/introduction.md) |
| Custom UI / AG-UI | [AG-UI interface](https://agno-v2.mintlify.site/agent-os/interfaces/ag-ui/introduction.md) |
| All interfaces | [Interfaces overview](https://agno-v2.mintlify.site/agent-os/interfaces/overview.md) |

## Keep the repo coherent

As you ship more agents, configuration drifts, env vars rot, and new agents miss imports. Run the repository review skill for a recurring sweep:

```text theme={null}
/review-and-improve
```

It auto-fixes mechanical drift (stale paths, missing `example.env` entries, agents on disk not registered in `app/main.py`) and surfaces the rest as a punch list. Run it before public releases and periodically during active development.

## You're done

You now have a platform that runs locally and on Railway with JWT auth, persists sessions, memory, and traces in Postgres, supports Postgres-backed knowledge, and includes eight coding-agent skills for setup, development, evals, review, and deployment.


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.