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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 ditching trends and focusing more on evergreen content like vlogs and storytime videos, or reviving retro aesthetics (although this itself is likely just a current trend). You don't desire to lose valuable time creating videos for the sake of getting on a trend audiences do not want to see it anyway.
Rather, focus on premium content that shows your craft and values. Don't simply hop on the fond memories trend usage throwback references or older music styles only if they match your story.
I utilize AI to produce social media content 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 almost every stage of how I believe, prepare, style, and ship material. At Buffer, and on my own social media, I've grown to over 20,000 fans across platforms.
A year back, my AI use looked like the majority of 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 much better posts for me, however because I was composing much better posts with AI managing the friction. I've evaluated a lot of tools. These are the 14 that stuck, arranged by where in my workflow they come in, beginning well before I open a blank page.
I'm a firm follower that the quality of my material is straight tied to the quality of what I consume. But compared to the quantity of time and energy I have, there are infinite amounts of material and connections to be made. This is where this tool comes in: they assist make that process easier and more repeatable.
When you save something to Sublime a quote, a link, an image, a note it immediately surfaces related ideas from other people's libraries. "communal knowledge management."In practice, it feels less like a productivity tool and more like searching the reading lists of the most intriguing people you know.
Sari's framing is one I come back to typically: the trick to better AI output isn't much better triggers it's 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 collecting about identity, craft, and audience-building and asking it to find the thread.
Why High-Quality Photography Is Dominating Social MediaOr I'll drop them onto a digital infinity board and start playing with the flow reorganizing ideas, adding my own notes and external context until a shape emerges. It does require active engagement. You need to sit with what it surfaces, not simply wait to a folder you'll never ever resume.
Often I need to draw out structure from my own rambling I talked through a concept, and now I require to discover what's actually worth keeping. Other times I have actually got the opposite problem: scattered referrals across tabs, notes, and half-watched videos, and I require to manufacture them into something meaningful that still sounds like me.
Turning spoken ideas into structured beginning pointsGranola is technically a meeting transcription tool it captures audio straight from my device (no awkward bot signing up with the call) and uses AI to turn raw conversation into organized notes. That's not why it's on this list. The use case I lean into for Granola is considering loud.
What I get back isn't just a transcript. It's a starting point. When concepts will not wait on a hassle-free minute, so you simply disrupt everyone (my team has actually been extremely patient with me) This is how I utilize Granola to stay present in meetings without losing every thought that pops up.
Granola makes that impulse efficient. I could arguably 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 attempting to have a discussion back at me. It's simply listening and organizing.
Here are a couple of articles from fellow verbal processors on the team to dig much deeper into rambling-as-processing.: Free (standard); $14/user/month for limitless Visual thinkers who need to manufacture numerous sources into material as rapidly as possiblePoppy's interface is a visual canvas. I drag in YouTube videos, TikToks, short articles, PDFs, voice notes whatever raw material I'm dealing with and arrange it into groups that the AI can pull from concurrently.
I utilize it mainly for scripting YouTube videos, short-form material, anything where I want the output to really seem like me rather than generic AI-speak. My normal setup looks like this: Examples of my own previous content (this teaches it my voice) Recommendation videos I want 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.
It's synthesizing my voice from Group 1 with the structural patterns from Group 2. The output still requires editing, 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 multiple designs (ChatGPT, Claude) within the same office, which works when I desire to compare outputs or use various models for various parts of the process.
The real tool beneath is more thoughtful than its landing page recommends, but it's a significant 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 have actually found works better than asking AI to compose my content: asking it to help me think through my material.
: Strategic sparring and seeing ideas before I construct themClaude is my thinking partner. What makes Claude distinctively useful for material work is the combination of deep thinking and the capability to really show me things.
It can likewise picture what we're talking about: model a web page design, mock up a report structure, build a working sneak peek of a landing page. I'm not simply talking about ideas in the abstract.
That iterative procedure is where the genuine thinking took place. I have actually likewise utilized it to prototype websites layouts before sharing principles with my group. Being able to see the structure, not simply describe it, helps me come to conversations better prepared. The sparring only works if I really press back, though.
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