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Audiences are nostalgic for 'the old web' and long for material that feels classic. Lots of developers are currently beginning to tap into this by dropping patterns and focusing more on evergreen content like vlogs and storytime videos, or reviving retro visual appeals (although this itself is most likely simply an existing trend). You don't want to squander valuable time creating videos for the sake of getting on a trend audiences don't wish to see it anyway.

Rather, focus on top quality content that reflects your craft and values. Don't simply hop on the fond memories pattern use throwback referrals or older music designs only if they match your story.

I utilize AI to create social media material every single day, but probably not in the way you're thinking. Instead of typing in a prompt and then publishing, AI is woven into practically every phase of how I think, prepare, design, and ship content.

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A year back, my AI use appeared like many people's: open ChatGPT, ask it to write a caption, get something generic back, reword the whole thing anyhow, and wonder what the point was. The issue wasn't the tools, it was that I was utilizing them one-dimensionally when the genuine utilize was everywhere else.

Not because AI was composing better posts for me, but since I was composing much better posts with AI dealing with the friction. I've tested a great deal of tools. These are the 14 that stuck, organized by where in my workflow they are available in, starting well before I open a blank page.

I'm a firm believer that the quality of my material is directly connected to the quality of what I consume. But compared to the quantity of energy and time I have, there are infinite amounts of content and connections to be made. This is where this tool is available in: they assist make that process simpler and more repeatable.

When you save something to Sublime a quote, a link, an image, a note it instantly surface areas associated ideas from other individuals's libraries. "communal knowledge management."In practice, it feels less like an efficiency tool and more like browsing the reading lists of the most fascinating people you know.

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Sari's framing is one I return to typically: the secret to better AI output isn't better triggers it's much better inputs. There's a real difference in between asking AI to "compose me something about individual branding" and handing it 40 ideas you've been gathering about identity, craft, and audience-building and asking it to find the thread.

Or I'll drop them onto a digital infinity board and begin having fun with the circulation reorganizing ideas, adding my own notes and external context till a shape emerges. It does require active engagement. You have to sit with what it surface areas, not just wait to a folder you'll never ever resume.

Sometimes I require to draw out structure from my own rambling I talked through a concept, and now I require to find what's actually worth keeping. Other times I've got the opposite problem: spread referrals across tabs, notes, and half-watched videos, and I require to manufacture them into something coherent that still seems like me.

That's not why it's on this list. The use case I lean into for Granola is believing out loud.

What I get back isn't simply a records. It's a beginning point. When concepts won't wait for a convenient moment, so you just disrupt everyone (my group has actually been really patient with me) This is how I utilize Granola to remain present in meetings without losing every idea that turns up.

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Granola makes that impulse productive. It's simply listening and organizing.

I drag in YouTube videos, TikToks, posts, PDFs, voice notes whatever raw material I'm working with and arrange it into groups that the AI can pull from simultaneously.

I use it primarily for scripting YouTube videos, short-form content, anything where I desire the output to actually seem like me rather than generic AI-speak. My typical setup appears like this: Examples of my own previous content (this teaches it my voice) Referral videos I desire to study not to copy, but to gain from their structure, hooks, pacing The working draft, where the AI pulls from both groups simultaneouslyThat last part is what makes it click.

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It's manufacturing my voice from Group 1 with the structural patterns from Group 2. The output still needs editing, however I'm starting from something that sounds like me riffing on concepts I actually appreciate not a generic script template. I can also access numerous designs (ChatGPT, Claude) within the very same workspace, which is beneficial when I wish to compare outputs or use various designs for different parts of the process.

The real tool beneath is more thoughtful than its landing page suggests, but it's a meaningful financial investment. Strategies are annual only with a credit-based system, so it's worth testing within the 30-day money-back assurance before you go all in.Price: From $400/year (annual billing just; 30-day money-back assurance) Here's what I have actually discovered works better than asking AI to compose my material: asking it to help me think through my content.

: Strategic sparring and seeing concepts before I build themClaude is my thinking partner. What makes Claude distinctively helpful for material work is the mix of deep thinking and the capability to really reveal me things.

It can likewise envision what we're discussing: prototype a web page design, mock up a report structure, construct a working preview of a landing page. I'm not simply talking about concepts in the abstract.

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That iterative process is where the real thinking occurred. I have actually also utilized it to model web page designs before sharing ideas with my group. Being able to see the structure, not simply describe it, helps me come to discussions better prepared. The sparring just works if I really push back.