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Audiences are sentimental for 'the old internet' and yearn for material that feels classic. Numerous creators are currently starting to use this by ditching patterns and focusing more on evergreen content like vlogs and storytime videos, or restoring retro aesthetic appeals (although this itself is likely simply an existing pattern). You don't wish to lose valuable time developing videos for the sake of hopping on a pattern audiences don't wish to see it anyway.

Do not feel pressured to post every day. Instead, focus on premium content that reflects your craft and values. Don't simply get on the fond memories pattern use throwback referrals or older music designs just if they match your story. Select those that align with your brand name and skip the rest.

I use AI to produce social media content every day, however most likely not in the way you're thinking. Instead of typing in a timely and then publishing, AI is woven into practically every stage of how I believe, prepare, style, and ship content. At Buffer, and on my own social networks, I have actually grown to over 20,000 fans across platforms.

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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 entire 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 writing better posts for me, but because I was composing better posts with AI handling the friction. I've evaluated 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 company follower that the quality of my material is directly connected to the quality of what I take in. Compared to the amount of time and energy I have, there are unlimited amounts of content and connections to be made. This is where this tool comes in: they help make that process simpler and more repeatable.

Where I desire to break away remains in making connections and having a distinct point of view, so my material does not feel acquired. Superb assists me do that. When you save something to Sublime a quote, a link, an image, a note it immediately surface areas related concepts from other individuals's libraries. Sublime's creator, Sari Azout, calls this "communal understanding management."In practice, it feels less like a performance tool and more like searching the reading lists of the most fascinating individuals you know.

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Sari's framing is one I come back to often: the secret to much better AI output isn't much better triggers it's better inputs. There's a real distinction between asking AI to "compose me something about individual branding" and handing it 40 concepts 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 begin having fun with the flow rearranging 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 simply wait to a folder you'll never reopen.

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

Turning spoken ideas into structured starting pointsGranola is technically a meeting transcription tool it captures audio directly from my gadget (no uncomfortable bot joining 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 thinking out loud.

What I return isn't just a records. It's a beginning point. When ideas won't wait on a hassle-free minute, so you simply interrupt everyone (my team has 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. It's simply listening and arranging.

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 concurrently.

I use it primarily for scripting YouTube videos, short-form material, anything where I desire the output to really sound like me rather than generic AI-speak. My normal setup appears like this: Examples of my own previous content (this teaches it my voice) Recommendation videos I wish to study not to copy, however to learn 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, but I'm beginning with something that sounds like me riffing on ideas I in fact appreciate not a generic script template. I can likewise access multiple models (ChatGPT, Claude) within the exact same work area, which works when I wish to compare outputs or utilize various models for different parts of the process.

The actual tool below is more thoughtful than its landing page recommends, but it's a meaningful 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 (yearly billing only; 30-day money-back warranty) Here's what I've discovered works better than asking AI to compose my material: asking it to assist me analyze my content.

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

But it can also picture what we're talking about: model a websites design, mock up a report structure, build a working preview of a landing page. I'm not just discussing concepts in the abstract. I'm looking at them. For our upcoming State of Social Engagement report, I went back and forth with Claude over numerous rounds until the structure clicked.

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I've likewise used it to model web page layouts before sharing ideas with my team. Being able to see the structure, not just describe it, helps me come to discussions better prepared.