How I Automate 80% of My YouTube Workflow

When I started on YouTube, every video took 20+ hours from idea to publish. Now it takes about 8. The difference isn't that I got faster at editing. It's that I stopped doing things manually that a machine can handle.

Here's the exact system.

The Workflow, Step by Step#

Every video I publish goes through the same 7-step pipeline:

1. Idea capture: Notion database, tagged by category
2. Research: Perplexity + Claude for competitive analysis
3. Scripting: Claude with my custom prompt template
4. Recording: Teleprompter app with the cleaned script
5. Editing: Mahmoud (my editor) gets the raw footage + script
6. SEO optimization: Title, description, tags, thumbnail brief
7. Publishing: Upload, schedule, distribute to socials

Steps 2, 3, 6, and 7 are almost entirely automated.

The Research Phase#

I used to spend 2-3 hours researching each video topic. Now I spend about 20 minutes reviewing what the AI found.

My process:

• Feed the topic into Perplexity to get the latest data and sources
• Drop those sources into Claude with a research synthesis prompt
• Claude outputs a structured brief: key points, statistics, common misconceptions, and angles competitors haven't covered

The brief goes straight into my Notion project page for that video.

Scripting with AI#

I don't let AI write my scripts. I let it draft them, then I rewrite.

The difference matters. My voice, my stories, my opinions: those can't be automated. But the structure, transitions, and initial phrasing? AI gets me 70% there in 10 minutes instead of 2 hours.

Prompt structure I use:
- Topic + angle
- Target audience
- 3 key points to hit
- Tone: conversational, direct, no fluff
- Length: [X] minutes at 160 words/minute

SEO on Autopilot#

After the video is recorded, I run my SEO workflow that tripled my short-form views:

• Title generation (5 options, scored by CTR potential)
• Description with keywords in the first 150 characters
• Tag string optimized for search + suggested
• Thumbnail brief for Ahmed (my thumbnail designer)

This used to take 45 minutes per video. Now it takes 5.

The Publishing Pipeline#

Once a video is uploaded to YouTube:

1. Make.com detects the new upload
2. Pulls the title, description, and thumbnail
3. Creates a blog post draft on my website
4. Generates social media captions for Twitter, LinkedIn, and Instagram
5. Schedules the social posts for optimal times

I review and approve everything before it goes live, but the drafts are ready within minutes of uploading.

What I Still Do Manually#

• Recording (obviously)
• Final script review and personal stories
• Thumbnail approval
• Community engagement and comments
• Strategic decisions about what to make next

These are the high-value activities. Everything else is a system.

The ROI#

Here's the math:

• Before automation: 20 hours per video, 2 videos per week = 40 hours
• After automation: 8 hours per video, 2 videos per week = 16 hours
• Time saved: 24 hours per week
• Cost of tools: ~$150/month
• Value of saved time: Incalculable (but it's a lot)

The point isn't to remove yourself from the creative process. It's to remove yourself from the parts that don't need you. I break down the full framework for deciding what to automate in a separate post.