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Audiences are sentimental for 'the old internet' and long for content that feels timeless. Lots of creators are already beginning to use this by dropping patterns and focusing more on evergreen material like vlogs and storytime videos, or reviving retro visual appeals (although this itself is likely just a present trend). You do not wish to squander valuable time developing videos for the sake of getting on a pattern audiences don't want to see it anyhow.

Do not feel forced to post every day. Instead, focus on premium content that reflects your craft and values. Do not simply hop on the fond memories trend usage throwback references or older music designs only if they match your story. Choose those that align with your brand name and skip the rest.

I use AI to produce social media material each and every single 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 practically every phase of how I believe, draft, design, and ship content. At Buffer, and on my own social media, I've grown to over 20,000 followers throughout platforms.

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A year earlier, my AI use appeared like the majority of people's: open ChatGPT, ask it to write a caption, get something generic back, reword the entire thing anyhow, and question 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 writing better posts for me, but since I was composing better posts with AI managing the friction. I've checked a lot 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 company follower that the quality of my material is directly connected to the quality of what I consume. Compared to the quantity of time and energy I have, there are boundless amounts of content and connections to be made. This is where this tool is available in: they assist make that procedure much easier and more repeatable.

Where I wish to break away is in making connections and having a distinct point of view, so my content does not feel derivative. Superb helps me do that. When you conserve something to Sublime a quote, a link, an image, a note it instantly surfaces associated concepts from other individuals's libraries. Sublime's creator, Sari Azout, calls this "common understanding management."In practice, it feels less like a performance tool and more like browsing the reading lists of the most intriguing individuals you understand.

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

Or I'll drop them onto a digital infinity board and start having fun with the flow rearranging ideas, adding my own notes and external context till a shape emerges. It does require active engagement. You have to sit with what it surfaces, not simply save it to a folder you'll never ever resume.

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

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

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

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Granola makes that instinct efficient. I could perhaps do this with most chatbots' voice modes ChatGPT, Claude, even a fundamental voice memo plus a manual summary. Granola's edge is that it's purpose-built for capture and extraction. It's not attempting to have a discussion back at me. It's just listening and organizing.

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

I use it mostly for scripting YouTube videos, short-form material, anything where I desire the output to really seem like me rather than generic AI-speak. My typical setup looks like this: Examples of my own previous content (this teaches it my voice) Reference 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 manufacturing my voice from Group 1 with the structural patterns from Group 2. The output still needs modifying, but I'm starting from something that sounds like me riffing on ideas I actually appreciate not a generic script design template. I can also access several models (ChatGPT, Claude) within the same office, which works when I wish to compare outputs or utilize various designs for various parts of the procedure.

The actual tool below is more thoughtful than its landing page recommends, but it's a meaningful financial investment. Plans are yearly only 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 only; 30-day money-back warranty) Here's what I have actually discovered works better than asking AI to write my content: asking it to help me analyze my content.

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

It can likewise visualize what we're going over: prototype a web page design, mock up a report structure, develop a working preview of a landing page. I'm not simply speaking about concepts in the abstract. I'm taking a look at them. For our upcoming State of Social Engagement report, I went back and forth with Claude over several rounds until the structure clicked.

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That iterative process is where the real thinking took place. I have actually also used it to model web page layouts before sharing concepts with my group. Being able to see the structure, not just describe it, helps me come to discussions much better prepared. The sparring just works if I in fact press back.