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An agent is a specialized AI worker. Instead of one general assistant, Erdo gives you a team you assemble from a gallery and brief in plain language. You tell an agent the outcome you want; it connects to your data, does the work, and reports back — asking before anything consequential.

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Recruit an agent

Open Agents to browse the gallery, organized by area (marketing, sales, e-commerce, personal assistant, and more). Each agent describes what it’s good at and which connections it needs.
1

Pick an agent

Find one that matches the job — a data analyst, a document analyzer, a security checker.
2

Recruit it

Recruiting enables the agent for your organization. You can bind specific datasets and skills so it starts with the right context.
3

Put it to work

Start a thread and brief it. Results appear inline.

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Build a custom agent

When no standard agent fits, create your own. A custom agent takes:
  • Instructions — what it should do, how to behave, what to prioritize.
  • Reference documents — files it should always have on hand.
  • Pinned skills — reusable skills it can call.
Custom agents keep a version history, so you can change instructions freely and restore a previous version if a change doesn’t work out.

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Configure and teach

Every agent has a Knowledge panel where it accumulates what it learns about your business — useful findings, known limitations, and optimizations — and reuses them on future runs. See Knowledge for how this works across your workspace.
Some agents need a specific connection to do their job — for example, an agent that books meetings needs Google Calendar connected. The agent will tell you what’s missing if a connection is required.

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What agents can do

Agents use tools to act: query a dataset, run code, search the web, build a page, send an email, or place a phone call. They choose the tools a job needs — you don’t wire them up. Anything that changes your data or reaches outside Erdo goes through review and approval.