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Audiences are sentimental for 'the old internet' and yearn for material that feels classic. Many creators are currently beginning to use this by dropping patterns and focusing more on evergreen content like vlogs and storytime videos, or reviving retro aesthetics (although this itself is likely simply an existing trend). You do not desire to waste valuable time creating videos for the sake of getting on a trend audiences do not wish to see it anyhow.

Do not feel pressured to post every day. Instead, concentrate on high-quality content that reflects your craft and values. Don't just hop on the nostalgia trend usage throwback references or older music designs only if they match your story. Select those that line up with your brand name and skip the rest.

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

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

Not since AI was writing better posts for me, however since I was composing better posts with AI handling the friction. I've checked a great deal of tools. These are the 14 that stuck, arranged by where in my workflow they are available in, starting well before I open a blank page.

I'm a firm believer that the quality of my content is directly tied to the quality of what I take in. However compared to the quantity of energy and time I have, there are unlimited quantities of content and connections to be made. This is where this tool can be found in: they assist make that procedure easier and more repeatable.

Where I wish to break away is in making connections and having an unique viewpoint, so my material does not feel derivative. Superb helps me do that. When you save something to Sublime a quote, a link, an image, a note it immediately surface areas related ideas from other people'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 understand.

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Sari's framing is one I come back to frequently: the secret to better AI output isn't better triggers it's better inputs. There's a real difference between asking AI to "compose me something about personal branding" and handing it 40 concepts you have actually 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 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 simply save it to a folder you'll never reopen.

Often I need to draw out structure from my own rambling I talked through a concept, and now I need to discover what's in fact worth keeping. Other times I've got the opposite problem: spread recommendations across tabs, notes, and half-watched videos, and I need to manufacture 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 records. It's a starting point. When concepts won't await a practical moment, so you just disrupt everybody (my group has been very patient with me) This is how I utilize Granola to stay present in conferences without losing every idea that turns up.

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Granola makes that instinct efficient. It's just 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 simultaneously.

I use it mainly for scripting YouTube videos, short-form material, anything where I desire the output to actually seem like me rather than generic AI-speak. My normal setup appears like this: Examples of my own previous material (this teaches it my voice) Recommendation videos I wish to study not to copy, but 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 editing, but I'm beginning from something that seems like me riffing on ideas I really care about not a generic script design template. I can likewise access several models (ChatGPT, Claude) within the very same office, which works when I want to compare outputs or use various designs for various parts of the procedure.

The real tool beneath 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 deserves testing within the 30-day money-back warranty before you go all in.Price: From $400/year (yearly billing just; 30-day money-back assurance) Here's what I have actually found works much better than asking AI to compose my material: asking it to assist me analyze my material.

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

It can also imagine what we're discussing: prototype a web page layout, mock up a report structure, develop a working sneak peek of a landing page. I'm not simply 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 multiple rounds till the structure clicked.

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I've also utilized it to model web page designs before sharing principles with my group. Being able to see the structure, not simply explain it, helps me come to conversations much better prepared.