🏴‍☠️ AI Stack for a 2-Hour Workday

I used to think “productive” meant feeling tired. Then I watched a day disappear into tabs, tiny errands, and half-finished drafts. By dinner, I had worked for hours and still couldn’t name one thing I’d shipped. That’s why this creator’s workflow stopped me mid-scroll. Matt Wolfe, a talented voice in the AI space, claims you can squeeze “active work” down to a couple of focused hours with the right AI infrastructure. His stack makes it feel doable.

You don’t need to grind eight hours to get eight hours of output if you stop using AI for novelty and start using it to eliminate friction. His approach is a chain of specialized tools, each doing one job well, so you stay in flow longer.

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The Research and Browsing Engine
Matt says Perplexity has largely replaced Google for him because it answers directly instead of sending you link-hunting. He uses the paid tier to swap models, but he stresses the free version handles most everyday questions.

The bigger move is the browser. He uses Comet, which puts Perplexity in a sidebar, then relies on “Slash Commands” so he isn’t rewriting prompts every time he reads something. He types a shortcut and gets the same structured output.

Two commands he highlights:

• /newsreview: what matters, what’s newsworthy, what it means for non-technical people

• /commentreview: filter noise, surface useful feedback

To keep inputs flowing, he uses Feedly with “AI Web Alerts.” It scans beyond his subscriptions and gets better as he tells it “more like this” or “less like this.”

The Creative Brain and Custom Software
When it’s time to write or brainstorm, he prefers Claude because it’s more direct and less performatively enthusiastic. He uses Claude Projects to build a persistent “YouTube Producer,” and this part is genuinely smart. He exports his YouTube analytics as CSV files, uploads them, and then has the AI reference real performance history when pitching titles and angles.

That shifts you from vibes to evidence. You still get creative, but you’re not pretending your past data doesn’t exist.

Then he reaches for Cursor to build small, personal tools that erase repeat tasks. Examples he shares include a dashboard that pulls newsletter, social, and revenue metrics into one view, a thumbnail generator trained on his headshots and past winners, and a script that transcribes an MP4 and suggests titles from the content.

He pairs that with Wisper Flow, a voice-to-text tool that cleans up speech in real time by removing filler and repeats. The benefit is simple: you can think out loud and still get clean text on screen.

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Specialized Agents for Admin and Assets
For meetings, he uses Granola, which runs on the desktop and listens to system audio instead of joining the call as a bot. It produces notes, assigns action items, and can expand vague notes later using the conversation context.

For visuals and audio, he leans on Nano Banana (via Gemini) for fast iteration on stylized thumbnail elements, and ElevenLabs for ad reads using a cloned version of his voice. He still reviews scripts, but the recording time drops close to zero.

Even YouTube Studio is in the loop. He uses “Ask Studio” to query analytics in plain language and uncover patterns that hide in dashboards, like an older video suddenly driving new subscribers.

If you borrow anything from this stack, borrow the principle: pick one bottleneck, build one reusable command for it, and run it until it saves you time. Then add the next link.

Watch the full video here:

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