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GuidingHand puts an AI agent on a customer’s computer. Your support team, or your own AI agent, creates a session through the API and sends the customer its invite link. The customer installs the GuidingHand app and connects. You then start tasks in plain language (“Turn on Dark Mode”, “Reconnect the printer”), and the agent does them on the customer’s screen while you follow along. Nobody drives the mouse by hand. You describe the outcome; the agent operates the computer. The customer watches it happen, keeps a Stop button on screen the whole time, and can answer the agent’s questions and approve consequential steps right there (or leave them to your team). If you have used a voice-agent API such as Retell, the shape will feel familiar: an agent is a configuration object, and a session is like a call.

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The 60-second model

The pieces:
  • Agent: your org’s configuration. Instructions, reasoning effort, a greeting for the invite page, and what the customer sees and may answer on their screen, layered under GuidingHand’s own safety rules. Every org has a default agent. See Agents.
  • Session: one pairing code and its invite link, for one computer. See Sessions.
  • Task: one job in plain language on that computer. It produces events, may ask a question or an approval, and ends with a result. See Tasks.
  • Recording: every screen the agent looked at, kept for replay in the console. See Recordings.

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What you need

  • A GuidingHand account. Sign in with Google at guidinghand.ai/console. New orgs start on the free plan with free agent minutes and no card.
  • An org API key (gh_live_…) from Settings → API keys in the console.
  • A customer on macOS or Windows who can open a link and click Connect. They never need an account.

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Where to go next

Quickstart

Create a session, run a task and read its result in cURL, Node or Python.

Tasks

Statuses, events, questions and approvals.

Webhooks

Get told when a computer connects or a task needs a person.

API reference

Every endpoint, generated from the OpenAPI spec.