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Audiences are classic for 'the old web' and yearn for material that feels classic. Many 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 aesthetic appeals (although this itself is likely just an existing trend). You don't desire to waste important time creating videos for the sake of hopping on a trend audiences don't desire to see it anyway.

Do not feel forced to post every day. Rather, concentrate on high-quality material that shows your craft and values. Don't simply hop on the nostalgia trend use throwback referrals or older music designs just if they match your story. Select those that line up with your brand and avoid the rest.

I utilize AI to create social media material every single day, but most likely not in the method you're believing. Rather of typing in a timely and then publishing, AI is woven into practically every phase of how I think, draft, style, and ship content.

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A year back, my AI use appeared like the majority of people's: open ChatGPT, ask it to compose a caption, get something generic back, rewrite the entire thing anyway, and question what the point was. The problem wasn't the tools, it was that I was using them one-dimensionally when the genuine take advantage of was all over else.

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

I'm a firm believer that the quality of my material is straight tied to the quality of what I consume. Compared to the amount of time and energy I have, there are limitless quantities of content and connections to be made. This is where this tool comes in: they help make that process much easier and more repeatable.

When you save something to Sublime a quote, a link, an image, a note it immediately surfaces related ideas from other individuals's libraries. "common knowledge management."In practice, it feels less like a performance tool and more like browsing the reading lists of the most fascinating people you understand.

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Sari's framing is one I return to frequently: the trick to much better AI output isn't better prompts it's much better inputs. There's a genuine difference in between asking AI to "compose me something about personal branding" and handing it 40 ideas you've been collecting 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 rearranging ideas, including my own notes and external context till a shape emerges. It does require active engagement, though. You have to sit with what it surfaces, not just save it to a folder you'll never resume.

Sometimes I require to extract structure from my own rambling I talked through a concept, and now I require to discover what's actually worth keeping. Other times I have actually got the opposite issue: scattered recommendations across tabs, notes, and half-watched videos, and I require to synthesize them into something meaningful 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 transcript. It's a beginning point. When concepts will not wait for a convenient moment, so you just interrupt everybody (my team has been really patient with me) This is how I utilize Granola to remain present in conferences without losing every thought that turns up.

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Granola makes that impulse efficient. It's just 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 all at once.

I utilize it mostly for scripting YouTube videos, short-form content, anything where I want the output to in fact sound like me instead of generic AI-speak. My normal setup looks like this: Examples of my own previous material (this teaches it my voice) Recommendation 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 requires modifying, however I'm beginning from something that sounds like me riffing on concepts I really appreciate not a generic script template. I can also access multiple designs (ChatGPT, Claude) within the very same workspace, which is beneficial when I want to compare outputs or utilize different models for different parts of the procedure.

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 guarantee before you go all in.Price: From $400/year (yearly billing just; 30-day money-back warranty) Here's what I have actually discovered works better than asking AI to compose my content: asking it to assist me analyze my material.

: Strategic sparring and seeing ideas before I develop themClaude is my thinking partner. What makes Claude uniquely useful for content work is the mix of deep thinking and the capability to in fact show me things.

It can also visualize what we're discussing: model a web page layout, mock up a report structure, develop a working preview of a landing page. I'm not just talking about concepts in the abstract.

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That iterative process is where the real thinking took place. I've likewise utilized it to model web page layouts before sharing ideas with my team. Having the ability to see the structure, not simply describe it, assists me come to conversations much better prepared. The sparring just works if I really press back.