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If I Started AI Automation in 2026, I'd Do This

The learning system I would use starting AI automation today: who to trust, what to build first, and how to not burn out.

Claude
Jan 29, 2026
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What you'll build

A learning system for the AI automation space that doesn't burn you out: a short list of creators worth trusting (sorted by what they're actually good at), a transcript-summary workflow that turns a 20-minute video into a two-minute read, an agent that runs that workflow for you, and a minimal toolkit to start building with. The problem this solves: new tools drop every single day - the weekend Claude bot dropped, my entire feed was videos about it, and I'm not spending 2-3 hours watching ten videos to learn the same thing.

What you'll need

Step 1: Pick the lane that pulls you in

I didn't start this to build a business. I was scrolling YouTube, found Liam Ottley making Make.com automation videos, and started out of pure curiosity - could I build something that makes my own life easier? Then voice agents started popping off, and they grabbed me because the value case for small businesses is so clean: a missed client is missed money. A voice agent for a dentistry or an HVAC shop schedules appointments, answers questions, and follows up fast enough that no lead ever slips. Find the corner of the space that does that for you - it's what keeps you learning when it gets technical.

Step 2: Follow creators by job, not vibes

Don't follow fifty channels. Follow a few, each for a specific job:

Step 3: Summarize videos instead of watching them

For everything that isn't a technical tutorial you need to follow step by step: copy the YouTube link into a transcript extraction tool like youtube-transcript.io, then request a summary against your own criteria. Mine:

Five tools that the video showcases, and five interesting points
that would be useful to build ideas on top of.

This alone keeps you from getting burnt out or overstimulated by the sheer volume of relevant content.

Step 4: Turn that workflow into an agent

Then I automated the whole system. I collect the links of videos I want to catch up on, and a prompt turns agent mode (Atlas or plain agent mode in ChatGPT) into an autonomous YouTube research and summarization agent: it takes each link, pulls the transcript via youtube-transcript.io, and condenses it into a summary with this structure:

- Takeaway in two sentences
- Key points in 5-10 bullets
- Interesting and memorable moments
- Action steps
- Who this is for

The output reads like: "Built an AI system that automates my proposals - TL;DR, key points, interesting…" Way more efficient than watching the video.

Step 5: Assemble a minimal toolkit

The tools I actually use daily:

You don't need all of these. That's the point of the next step.

Step 6: Build out of curiosity, not for a business

Start simple. My first automation: a Google Form hit my email every morning, I answered a few questions, ChatGPT processed the answers into a 140-character tweet, and Twitter's API posted it. Yes, I could have just tweeted. That's not the point - it was built out of curiosity, and that's how you fall in love with these platforms instead of bouncing off them.

Step 7: Keep a running tool list with use cases

When I was watching all these creators early on, I wrote down every tool they mentioned plus a use case for it, so I could follow up when it became relevant. That list is over 40 tools now and still growing - and several of the tools in this video came straight off it.

That's the whole playbook: a tight creator list, summaries instead of watch-time, one curiosity build, and a tool list that compounds.

Resources

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