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Audiences are nostalgic for 'the old internet' and crave material that feels ageless. Many developers are already starting to tap into this by ditching patterns and focusing more on evergreen material like vlogs and storytime videos, or reviving retro looks (although this itself is likely simply a present pattern). You don't wish to squander valuable time producing videos for the sake of hopping on a trend audiences do not want to see it anyway.

Instead, focus on top quality material that shows your craft and worths. Do not simply hop on the fond memories trend use throwback recommendations or older music designs only if they complement your story.

I use AI to produce social media material every single day, but probably not in the method you're thinking. Rather of typing in a timely and then publishing, AI is woven into nearly every phase of how I think, prepare, design, and ship material.

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A year back, my AI use looked like many people's: open ChatGPT, ask it to write a caption, get something generic back, rewrite the entire thing anyhow, and wonder what the point was. The problem wasn't the tools, it was that I was using them one-dimensionally when the real utilize was everywhere else.

Not since AI was composing much better posts for me, however since I was composing better posts with AI dealing with the friction. I have actually checked a lot of tools. These are the 14 that stuck, arranged by where in my workflow they can be found in, beginning well before I open a blank page.

I'm a firm follower that the quality of my content is straight tied to the quality of what I take in. Compared to the quantity of time and energy I have, there are infinite quantities of material and connections to be made. This is where this tool comes 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 right away surface areas related ideas from other people's libraries. "common understanding management."In practice, it feels less like a performance tool and more like browsing the reading lists of the most intriguing people you know.

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Sari's framing is one I return to typically: the trick to better AI output isn't much better triggers it's better inputs. There's a real difference in between asking AI to "compose me something about personal 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 flow rearranging concepts, adding my own notes and external context until a shape emerges. It does need active engagement. You have to sit with what it surface areas, not just save it to a folder you'll never ever reopen.

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

Turning spoken concepts into structured beginning pointsGranola is technically a meeting transcription tool it catches audio straight from my device (no awkward bot signing up with the call) and uses AI to turn raw conversation into arranged notes. That's not why it's on this list. The use case I lean into for Granola is considering loud.

What I return isn't simply a records. It's a starting point. When concepts will not await a convenient minute, so you just interrupt everybody (my group has been extremely 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. I could perhaps do this with most chatbots' voice modes ChatGPT, Claude, even a basic voice memo plus a manual summary. Granola's edge is that it's purpose-built for capture and extraction. It's not trying to have a discussion back at me. It's just listening and arranging.

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

I use it mostly for scripting YouTube videos, short-form content, anything where I want the output to in fact seem like me rather than generic AI-speak. My common setup appears like this: Examples of my own previous material (this teaches it my voice) Recommendation videos I want to study not to copy, however to gain from their structure, hooks, pacing The working draft, where the AI pulls from both groups simultaneouslyThat tail end is what makes it click.

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It's synthesizing my voice from Group 1 with the structural patterns from Group 2. The output still requires modifying, but I'm starting from something that sounds like me riffing on ideas I in fact appreciate not a generic script design template. I can also access numerous models (ChatGPT, Claude) within the very same office, which works when I desire to compare outputs or use various models for various parts of the process.

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

: Strategic sparring and seeing concepts before I construct themClaude is my thinking partner. Not my ghostwriter my sparring partner. That difference matters more than any function list. What makes Claude distinctively beneficial for material work is the mix of deep reasoning and the capability to in fact show me things.

It can also envision what we're talking about: prototype a web page layout, mock up a report structure, build a working sneak peek of a landing page. I'm not just talking about ideas in the abstract.

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That iterative process is where the real thinking happened. I have actually likewise used it to model websites designs before sharing concepts with my group. Being able to see the structure, not simply describe it, helps me pertain to discussions much better prepared. The sparring only works if I really push back.