Turn your Loom recordings into structured output

Loom captures the message, but getting value out of each recording still requires manual effort. Transcribing, summarizing, extracting decisions, repurposing video content into written formats, routing feedback from Loom comments, and distributing async updates all happen by hand. BYOBot automates that layer so every Loom you record produces more than just a video.

Describe the workflow you want to automate: we'll build you a step-by-step spec you can run today.

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Build a bot for your async video workflow

Describe how you use Loom: what types of recordings you make, who watches them, what output should exist after each one, and where the manual effort adds up, and BYOBot builds your portable agent.

1
Describe your Loom recording workflow

Tell BYOBot what types of Looms you record (team updates, walkthroughs, feedback reviews, client demos), who the audience is, what you do with the transcript or content after recording, and which steps you'd like to stop doing manually.

2
We map it to an automation

BYOBot turns your description into your portable agent: a prompt for any AI chat tool, a browser agent that drives Loom for you, and a full pipeline spec ready for a developer.

3
AI takes over your Loom workflow

You get a ready-to-use automation spec. Start in a chat tool to test the logic, go hands-free with a browser agent, or hand the pipeline spec to a developer to deploy.

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Loom connects across your async stack

Your Loom workflow in one portable agent

In your AI chat tool
Ready-to-use prompts for any AI chat tool

BYOBot produces an AI chat tool prompt that turns a pasted Loom transcript into a structured summary, a set of action items with owners, a Notion-ready knowledge base entry, or a blog post draft: consistent format every time, ready to publish or share.

Works with ChatGPT, Claude, Gemini, or any LLM: free to start
In a browser agent
browser agent drives Loom for you

The browser agent reads the Loom transcript from your Loom workspace, navigates to Notion or Confluence to create the knowledge base page, creates tasks in Asana from action items, and posts the summary to the relevant Slack channel: without manual copying.

Works with any AI browser agent tool
In your stack
A full blueprint for unattended automation

Uses the Loom API to monitor new recordings, pull transcripts, generate structured summaries, route content to Notion or Confluence, create action item tasks, and distribute async update emails. Full pipeline triggered on new recording completion.

Connects to Zapier, Make, n8n, or custom APIs

What you get that an LLM alone won't give you

โœฆ Portable
Download it, use it with any browser-capable AI

A chat answer dies in the thread. Your agent is a file you own: run it in ChatGPT, Claude, or Gemini, drop it into a browser agent, or hand it to your stack, as many times as you like.

โœฆ Conversational
Training your AI agent is super easy

No prompt engineering degree required. Describe what you do, the tabs you open, the data you move, and BYOBot asks the questions that turn your knowledge into the spec.

โœฆ Tested
Custom QA milestones in every agent

Every build ships with smoke tests and pass, warn, and fail checks for each step. You'll know it ran right, not just that it ran.

See Yourself Using AI?

BYOBot can automate Loom workflows for any of these roles: no coding experience needed.

Every Loom recording worth more

A Loom recording contains a complete thought: a decision explained, a process documented, a product demoed. The problem is that information lives locked in a video that most people won't rewatch. BYOBot extracts it: summary, action items, decisions, searchable text: all from the transcript, automatically.

The build gives anyone a prompt that turns a pasted Loom transcript into whatever format the content needs to be: a Notion knowledge base page, a blog post draft, a bullet-point team update, or an action item list. One AI chat tool session, zero setup.

The hands-free version deploys a browser agent that navigates to your Loom workspace, reads the transcript of a specified recording, routes the structured output to Notion and Asana, and posts a summary to Slack: without you leaving the Loom tab.

The pipeline spec provides a full pipeline spec triggered by Loom's new recording webhook. Pulls the transcript via the Loom API, generates a structured output in whatever format the recording type warrants, routes it to the right destinations (Notion, Confluence, Asana, Slack), and archives the video link alongside the text. Developer-ready with full QA coverage.

Frequently Asked

The most common are transcript summarization (turning a Loom transcript into a structured summary with key decisions, action items, and next steps), content repurposing (converting a Loom walkthrough into a Notion knowledge base page, blog post, or how-to guide), async update distribution (generating a formatted text summary of a Loom update email and sending it to the team alongside the video link), action item routing (extracting commitments from a Loom review recording and creating tasks in Asana or Linear), and feedback aggregation (collecting Loom comments into a structured feedback document for review).
The chat prompt works from pasted transcript text: no Loom access required. Loom shows transcripts in the video page and you can copy the text directly into an AI chat tool. The hands-free version uses a browser agent that navigates your Loom workspace through your existing browser session. The pipeline spec uses the Loom API, which is available on Business and Enterprise plans: the spec includes authentication steps and the exact API calls needed.
Yes. This is one of the strongest use cases. You paste the Loom transcript, specify the target format (blog post, knowledge base article, email newsletter section, social post), and BYOBot's prompt generates a first draft in that format: structured, edited for reading rather than listening, and ready to polish. The difference between a transcript and a readable document is the editing work BYOBot handles.
A common setup: after recording a product demo Loom for a client, the agent reads the transcript, generates a follow-up email summarizing what was shown and the agreed next steps, creates a HubSpot note on the deal record, and schedules the next touchpoint via a Calendly link. The browser agent runs this through the browser after you share the Loom link; the pipeline automates it end-to-end on recording completion.

Every Loom you record has more value locked inside it. Describe your workflow and let AI extract it.

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