What can an AI agent do with Gumloop?

Your AI agent can list and inspect your Gumloop pipelines, browse run history, and retrieve run outputs, showing you the plan first. With your approval, it can also trigger pipeline runs with custom inputs, create new pipelines, and save changes to existing ones, giving it full control over your AI automation layer when you need it.

Are write actions safe?

Yes. Any action that modifies your workspace - triggering a run, creating a pipeline, or saving a pipeline - requires your explicit approval before it executes. Read-only actions like listing pipelines and fetching run outputs are shown to you before they run.

How is this different from Gumloop's built-in scheduling?

Gumloop's scheduler triggers pipelines on a fixed cadence. An AI agent adds a reasoning layer - it can decide when and whether to trigger a pipeline based on data, context, or the output of other tools, rather than following a rigid timetable.

Can my agent create Gumloop pipelines automatically?

Yes, but creating or saving a pipeline is a write action that always requires your approval first. You review the pipeline definition before anything is committed to your Gumloop workspace.

Developer tools

Gumloop, run by an agent.

An AI agent that builds, triggers, and monitors your Gumloop AI automation pipelines.

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What needs your approval

Gumloop never changes anything without you.

Anything that creates, edits or deletes in Gumloop waits for your approval. Approve a recurring task once and it runs unattended after that.

Connecting Gumloop

About 5 minutes

Auth: API key
Setup: About 5 minutes

Where to get access

Find your API key in Gumloop under Settings > API.

www.gumloop.com

Example tasks

Real work people hand to an agent that uses Gumloop.

trigger ai workflows from external events like form submissions, webhook payloads, or scheduled reports
monitor pipeline failures and surface a summary of what broke and which run failed
build and deploy ai automations by describing the workflow to your agent in plain language
chain gumloop pipelines with other tools so ai decisions drive multi-step automation sequences