Integration

AI Agents + Loom

Loom replaced half your meetings with short videos. That's great. But now you've got 200 Loom recordings in your workspace and nobody can find anything. An AI agent watches every Loom, extracts the key points, and turns video content into searchable, actionable knowledge.

Productivity
Teams using AI-processed Loom recordings save an average of 45 minutes per day by finding information in transcripts instead of rewatching full videos.

Why This Matters

Why Connect Loom to Your AI Agents

Loom solved the meeting problem but created a content problem. Teams record walkthroughs, bug reports, design feedback, onboarding tutorials, and project updates as Loom videos. The videos are quick to make — that's the beauty. But they're terrible to search, skim, or reference later. You can't ctrl-F a video. You can't scan 20 recordings in 5 minutes the way you'd scan 20 emails.

So what happens? Important information gets trapped in videos that nobody rewatches. A new hire can't find the onboarding walkthrough from 3 months ago. A developer's bug report from last Tuesday is buried in a folder with 40 other recordings. And that product decision your CEO explained in a 4-minute Loom? Gone, because nobody transcribed it.

An AI agent fixes the 'Loom graveyard' problem. It watches every new recording, generates a transcript, extracts key decisions and action items, tags the video by topic and project, and makes everything searchable. When someone records a bug report, the agent creates a Jira ticket from it. When a manager records a project update, the agent posts a summary to the team channel. The video still exists, but now it's connected to your workflow instead of sitting in a folder.

Features

What This Integration Enables

Developer API for accessing recordings, transcripts, and workspace data

Webhook notifications when new recordings are created or shared

Auto-generated transcripts that the agent enhances with speaker identification

Embed and share links for distributing video content across channels

Under the Hood

How AI Agents Use Loom

The agent connects via Loom's API and webhook. It processes every new recording: generates enhanced transcripts, extracts action items and decisions, tags by project and topic, and posts summaries to your team channel. For specific video types, it triggers workflows — bug reports become tickets, updates become summaries, tutorials get indexed in your knowledge base.

Use Cases

How Businesses Use AI Agents + Loom

01

Automatic transcription and key-point extraction from every team recording

02

Bug report videos auto-converted to Jira or Linear tickets with screenshots

03

Project update recordings summarized and posted to Slack or Telegram

04

Onboarding video libraries made searchable by topic, speaker, and date

A remote-first agency was recording 30+ Looms per week but nobody could find anything older than a week. After connecting the AI agent, every recording got transcribed, tagged, and summarized automatically. The team started searching transcripts instead of asking 'did anyone record that?' — and found what they needed in under a minute.

FAQ

Loom Integration Questions

Does the agent re-transcribe Loom videos or use Loom's built-in transcripts?

It starts with Loom's built-in transcript and enhances it — adding speaker labels, correcting technical terms, and extracting structured data (action items, decisions, links mentioned). It doesn't re-transcribe from scratch.

Can it handle private or password-protected Looms?

The agent accesses recordings through your workspace's API key, so it can process any recording shared within the workspace. External or password-protected recordings need to be explicitly shared with the agent's workspace.

Does it work for external-facing videos too?

Yes. If you record Looms for clients (walkthroughs, demos, explanations), the agent can process those too — generating client-facing summaries or follow-up emails based on what was covered in the video.

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