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Audiences are classic for 'the old internet' and crave material that feels classic. Lots of creators are already beginning to use this by dropping patterns and focusing more on evergreen content like vlogs and storytime videos, or restoring retro aesthetics (although this itself is likely simply a present trend). You do not want to waste valuable time producing videos for the sake of hopping on a trend audiences don't wish to see it anyway.

Do not feel pressured to post every day. Rather, concentrate on top quality material that shows your craft and worths. Do not simply get on the fond memories pattern use throwback references or older music styles only if they complement your story. Pick those that align with your brand and avoid the rest.

I utilize AI to produce social media material every day, however most likely not in the way you're thinking. Instead of typing in a timely and after that publishing, AI is woven into almost every stage of how I believe, prepare, design, and ship material. At Buffer, and on my own social media, I have actually grown to over 20,000 fans throughout platforms.

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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, reword the whole thing anyhow, and wonder what the point was. The problem wasn't the tools, it was that I was utilizing them one-dimensionally when the genuine leverage was all over else.

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

I'm a company follower 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 unlimited amounts of material and connections to be made. This is where this tool can be found in: they assist make that procedure simpler and more repeatable.

When you save something to Sublime a quote, a link, an image, a note it right away surfaces related concepts from other individuals's libraries. "communal understanding management."In practice, it feels less like a productivity tool and more like browsing the reading lists of the most interesting individuals you know.

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Sari's framing is one I come back to typically: the secret to much better AI output isn't better prompts it's much better inputs. There's a genuine distinction between asking AI to "compose me something about individual branding" and handing it 40 concepts 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 start having fun with the circulation reorganizing ideas, including 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 conserve it to a folder you'll never resume.

Often I require to draw out structure from my own rambling I talked through a concept, and now I require to discover what's really worth keeping. Other times I've got the opposite problem: scattered references throughout tabs, notes, and half-watched videos, and I require to synthesize them into something coherent that still sounds like me.

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

What I return isn't just a transcript. It's a starting point. When concepts will not wait on a hassle-free moment, so you simply interrupt everybody (my group has actually been very patient with me) This is how I use Granola to remain present in conferences without losing every idea that appears.

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Granola makes that instinct efficient. It's just listening and organizing.

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

I use it mostly for scripting YouTube videos, short-form content, anything where I want the output to in fact sound like me rather than generic AI-speak. My typical setup looks like this: Examples of my own previous material (this teaches it my voice) Referral videos I wish to study not to copy, but to find out 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 editing, however I'm beginning with something that seems like me riffing on ideas I in fact care about not a generic script design template. I can also access numerous models (ChatGPT, Claude) within the very same work space, which is useful when I want to compare outputs or use various models for different parts of the process.

The real tool beneath is more thoughtful than its landing page suggests, however it's a significant financial investment. Strategies are annual just 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 (annual billing just; 30-day money-back warranty) Here's what I have actually found works much better than asking AI to write my content: asking it to assist me think through my material.

: Strategic sparring and seeing concepts before I develop themClaude is my thinking partner. What makes Claude distinctively useful for content work is the combination of deep thinking and the capability to actually reveal me things.

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

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I have actually likewise utilized it to model web page designs before sharing principles with my group. Being able to see the structure, not just describe it, helps me come to discussions much better prepared.