Agents
An agent is a custom AI teammate you create for a specific job. Where the Bridge copilot is a ready-made generalist, an agent is something you design once — its role, its personality, what it knows, and what it’s allowed to do — and then reuse again and again.
Think of building an agent like writing a really good job description, then having a tireless colleague show up to fill it.
Creating an agent
Section titled “Creating an agent”Head to Agents → Library → Create Agent. You’ll set:
- Name — what your team will call it (e.g. “Support Responder”).
- Prompt — the agent’s instructions: its role, tone, and rules. This is where you describe how it should behave. Plain language works best.
- Model — which AI model powers it. You can pick one or use your workspace default.
That’s enough to get a basic agent going. The rest is optional polish.
Draft vs. Released
Section titled “Draft vs. Released”Every agent has a status:
- Draft — private to you while you build and test it.
- Released — published to the workspace so teammates (with permission) can use it.
When you’re happy, click Publish to move an agent from Draft to Released.
Computer use
Section titled “Computer use”Some jobs need more than words — they need an agent that can actually run code, edit files, or execute commands. Turn on Computer use and the agent gets its own sandboxed virtual computer: an isolated environment where it can do that work safely.
What you can configure
Section titled “What you can configure”Beyond the basics, an agent can be shaped with four building blocks. Each has its own page:
| Building block | What it does | Learn more |
|---|---|---|
| Knowledge | Documents, pages, and data the agent should use as context | Tools & knowledge |
| Tools / MCP | Actions it can take, including external systems via MCP | Tools & knowledge |
| Skills | Reusable bundles of capability it can call on | Skills & rules |
| Rules | Conditional instructions for specific situations | Skills & rules |
A few example agents
Section titled “A few example agents”- Customer Support Responder — knows your help docs, drafts replies, and can look things up in your CRM.
- Release Notes Writer — assigned to a task, it gathers what shipped and writes the notes.
- Data Analyst — answers questions about a database and summarizes trends.
Once an agent exists, you put it to work by assigning it to tasks, adding it to chats, or wiring it into a flow — see Agents in your workspace.