Turn every Descript project into a content engine

Descript handles the editing, but turning each recording into show notes, social clips, a blog post, an email newsletter section, and a transcript takes hours of manual content work. BYOBot automates the content repurposing layer so every podcast episode, video, or meeting recording you edit in Descript produces a complete set of derivative content automatically.

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 content repurposing

Describe your Descript workflow: what you record and edit, what derivative content you need to produce from each project, and where that content ends up, and BYOBot builds your portable agent that handles the text output layer.

1
Describe your content production workflow

Tell BYOBot what you record and edit in Descript (podcast, video course, team meeting, client demo), what derivative content each recording needs to produce (show notes, blog post, social clips, email), and which steps currently take the most time after the edit is done.

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 Descript for you, and a full pipeline spec ready for a developer.

3
AI takes over your Descript 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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Descript connects to your content distribution stack

Your Descript 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 Descript transcript into a complete content package: formatted show notes with timestamps, a blog post draft, three social media posts (Twitter/X, LinkedIn, Instagram caption), and an email newsletter section: all from one prompt run.

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

The browser agent reads the Descript transcript, navigates to your Notion content calendar to create the show notes page, opens Google Docs to draft the blog post, and prepares the social posts for review: automatically, after each episode export.

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

Monitors Descript project completion via webhooks, pulls the transcript, generates the full content package, routes show notes to Notion, blog draft to Google Docs, social posts to Airtable for approval, and email section to Mailchimp draft. Full pipeline with content QA checks.

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 Descript workflows for any of these roles: no coding experience needed.

One recording, a week's worth of content

A 30-minute podcast episode contains a blog post, six social posts, two newsletter sections, a set of show notes, and five quotable clips. The editing is done in Descript, but extracting all of that content still happens manually. BYOBot automates the extraction and repurposing so the content work that takes hours takes minutes.

The build gives content teams a prompt that processes a pasted Descript transcript into a complete derivative content package: show notes with timestamps, a long-form blog post draft, social posts in the right formats, and an email newsletter section. One AI chat tool run per episode.

The hands-free version deploys a browser agent that reads the Descript transcript, navigates to Notion to create the show notes page, opens the Google Doc for the blog draft, and queues the social posts in Airtable for review: automatically, after you finish the edit.

The pipeline spec provides a full pipeline spec triggered on Descript project completion. Pulls the transcript, identifies the strongest clips for social by scanning for high-information-density passages, generates the full content package, routes each piece to its destination tool, and flags the package in Slack for a final review before publishing. Developer-ready with full QA coverage.

Frequently Asked

The most common are show notes generation (producing timestamped, formatted podcast show notes with chapter markers and key takeaways from the transcript), blog post drafting (converting a video or podcast transcript into a structured long-form article with intro, sections, and conclusion), social content creation (extracting the best quotes and moments from a transcript and formatting them as Twitter/X threads, LinkedIn posts, and Instagram captions), email newsletter section writing (summarizing the episode's key insight as a newsletter section with a CTA back to the full episode), clip ideation (identifying the highest-value 60-90 second segments for social video clips by scanning the transcript for quotable, standalone moments), and transcript cleaning (removing filler words, correcting speaker names, and structuring the raw Descript transcript into a clean, readable document).
The chat prompt works from pasted transcript text: copy from Descript's transcript panel and paste into any AI chat tool. No Descript access required. The hands-free version uses a browser agent that navigates your Descript workspace through your existing browser session. The pipeline spec uses the Descript API for programmatic transcript access: available on Creator and Business plans. The spec includes the API setup steps.
Yes. The prompt is designed to scan the transcript for passages that are self-contained, quotable, and high-information-density: the characteristics of a strong social clip. It returns a ranked list of candidate clips with start and end timestamps, a one-sentence description of why each clip works, and the verbatim text for the caption. You then cut those clips in Descript using the timestamps.
Video courses and tutorials produce different derivative content: chapter summaries instead of show notes, FAQ sections instead of social clips, and knowledge base articles instead of blog posts. You describe the recording type during the BYOBot conversation and the prompt is tuned accordingly: the same automation backbone, different output templates per content category.

Every Descript project contains a week's worth of content. Describe your workflow and let AI extract it.

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