Use n8n to draft YouTube scripts from trend signals
Ben Utting built a content-research pipeline for a client running YouTube channels across several niches.
dev.to
Suggested prompt
Suggested prompt written by Agents In Use, not the source author. Replace bracketed inputs and review tool permissions first.
Research [niche] using [subreddits], [competitor channels] and [keywords]. Exclude already-covered topics, score new ideas with evidence and draft scripts into [Notion calendar]. Keep filming and publication decisions with me.
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Sourced account- Source author
- Ben Utting
- Original account
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- Published
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- Reported result
- Utting reports scored YouTube ideas and scripts ready for the client's Notion review, with less preparation work and fewer accidentally repeated topics.
- Human involvement
- The client chooses ideas and edits before filming.
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How the agent did it
- Gather configured research signals.
- Deduplicate, score and draft scripts.
- Sync drafts to Notion for selection.
Ben Utting built a content-research pipeline for a client running YouTube channels across several niches. The client was manually scanning Reddit, competitor uploads and Google Trends, then writing scripts and checking whether an idea had already been covered. Utting replaced that preparation work with scheduled n8n sub-workflows.
The system gathers research signals, removes repeated topics, scores ideas and prepares search metadata, scripts and quality checks before synchronizing with Notion. Four AI agents handle the reasoning stages. A niche configuration identifies subreddits, channels, keywords and scoring preferences; a PostgreSQL backend supports the workflow.
The client reviews scored ideas and first drafts in Notion, chooses what to film and edits the scripts before production. Utting reports reduced preparation effort and fewer accidental repeats. The code and prompts are linked as an open-source artifact, with prompts kept in separate Markdown files for tuning. This account documents draft preparation and a human filming decision. It does not describe automatic video publication or prove that the system's topic scores predict audience success.
Prompt
Suggested prompt (written by Agents In Use, not the author's)
Source: dev.to · Ben Utting
Frequently asked questions
Which signals were collected?
Reddit, YouTube and Google Trends.
Where did the client review drafts?
In the Notion content calendar.
Who chose what to film?
The client selected and edited ideas.
More details
About this account
AI agents score ideas and prepare draft scripts.
Firsthand account opened and read. Results are attributed to the author. Prompt is our suggested adaptation, not an original quotation.
Credit: Ben Utting
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Tools and topics
n8n AI agents · Reddit · YouTube API · SerpAPI · GPT-4o · PostgreSQL · Notion
YouTube scripts · Trend research · Notion
Editorial completeness: 100/100. Measures documented fields, not agent performance or verified outcomes.