Hey there,

Today I’ve got a Client-Ready Workflow that solves one of the biggest headaches for content creators and entrepreneurs: keeping up with YouTube research without wasting hours.

You’ll get:

A workflow breakdown
The problem it solves
How it’s structured and works
Free template to implement it yourself

The Problem This Solves

Here’s what almost every content creator, marketer, and business owner is dealing with:

YouTube research takes forever: Manually searching for videos, checking channels, and filtering by relevance can eat up hours every week.
You miss valuable insights: By the time you find the right videos, competitors already published content on the trending topics.
Playlists become messy: Saving videos to “Watch Later” turns into an unorganized black hole.

I built this system for myself because I was wasting 5 hours each week on YouTube rabbit holes just trying to find research-worthy videos.

The AI YouTube Research Agent

This automation searches YouTube for you, curates the most relevant videos, and adds them to a private playlist so you can focus on creating instead of digging.

Here’s how it works:

Step 1: Automated YouTube Search

Input your topic or niche (e.g. “AI automation for small business”)
The AI agent finds videos using smart queries and relevance filters

Step 2: AI Research Assistant

The agent analyzes titles, descriptions, and engagement metrics
Filters out irrelevant or low-value results
Prioritizes videos worth watching for research or inspiration

Step 3: Private Playlist Creation

n8n automatically builds a new private YouTube playlist
Adds only the most relevant videos
Keeps your Watch Later list clean and organized

Real Example in Action

Let’s say you’re researching “AI Business Automation.”

Within minutes, the system builds a playlist with:

“Top 5 AI Automation Tools for 2025”
“How Small Businesses Can Leverage AI Agents”
“n8n vs Make.com: Which One Should You Use?”
“AI Workflow Examples That Save 10+ Hours a Week”

Instead of manually browsing for hours, you now have a handpicked playlist ready to watch on your own time.

Why This System Saves Hours

Let’s break down the math:

Traditional approach:

Researching YouTube: 5–10 hours/week
Organizing videos into playlists: another 1–2 hours
Cost: your time (and frustration)

With this system:

Setup: 1–2 hours (one-time)
Ongoing time: 5 minutes/week
Output: unlimited curated playlists
Savings: 5–10+ hours per week

Technical Considerations

Build time: 1–2 hours for setup
Monthly cost: ~$20/month for n8n + Apify scraper ($5/1k videos)
Maintenance: minimal
Scaling: can process unlimited search queries

Tools used:

n8n (automation platform)
Apify API (search for videos)
Youtube API (add new playlist, add videos to it)
OpenAI / LLM (system prompt to give AI directions)
Google Contacts (find user based on name)
Gmail (notify you or someone else when new playlist is ready)

Get the Complete System

Want to implement this exact workflow?

👉 Download the complete system here (import directly into n8n).

Business Applications

This system works for:

YouTubers: Speed up research for new video topics
Agencies: Curate competitor and trend research for clients
Course creators: Gather supporting videos for training or inspiration
Entrepreneurs: Quickly learn a new skill or industry without wasting hours

Talk soon,
Jonathan

PS – Once I started using this system, I stopped wasting hours on YouTube rabbit holes. Now I just open my private playlists and dive straight into the good stuff.

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