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Audiences are classic for 'the old internet' and long for material that feels classic. Many creators are already beginning to tap into this by dumping trends and focusing more on evergreen content like vlogs and storytime videos, or reviving retro aesthetics (although this itself is likely just a present trend). You do not desire to squander valuable time creating videos for the sake of hopping on a pattern audiences do not wish to see it anyway.

Do not feel pressured to publish every day. Instead, concentrate on high-quality content that shows your craft and worths. Don't just hop on the nostalgia pattern use throwback referrals or older music designs only if they match your story. Select those that align with your brand and skip the rest.

I use AI to develop social media content every single day, but most likely not in the method you're believing. Rather of typing in a timely and then publishing, AI is woven into practically every stage 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 across platforms.

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A year back, my AI use looked like a lot of people's: open ChatGPT, ask it to compose a caption, get something generic back, rewrite the entire thing anyhow, and wonder what the point was. The issue wasn't the tools, it was that I was utilizing them one-dimensionally when the real leverage was all over else.

Not due to the fact that AI was writing better posts for me, but since I was writing much better posts with AI handling the friction. I've checked a lot 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 follower that the quality of my material is straight tied to the quality of what I take in. But compared to the quantity of energy and time I have, there are unlimited quantities of material and connections to be made. This is where this tool is available in: they assist make that process much easier and more repeatable.

Where I wish to break away is in making connections and having a special point of view, so my material doesn't feel acquired. Superb helps me do that. When you save something to Sublime a quote, a link, an image, a note it immediately surfaces associated concepts from other individuals's libraries. Sublime's founder, Sari Azout, calls this "common understanding management."In practice, it feels less like a performance tool and more like searching the reading lists of the most intriguing 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 much better inputs. There's a genuine difference in between asking AI to "compose me something about personal branding" and handing it 40 ideas you've been collecting 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 up until a shape emerges. It does require active engagement. You need to sit with what it surface areas, not just conserve it to a folder you'll never reopen.

Often I require to draw out structure from my own rambling I talked through a concept, and now I need to find what's actually worth keeping. Other times I have actually got the opposite issue: scattered recommendations throughout tabs, notes, and half-watched videos, and I need to synthesize them into something meaningful that still sounds like me.

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

What I return isn't just a transcript. It's a beginning point. When concepts won't await a hassle-free moment, so you just disrupt everybody (my group has been really patient with me) This is how I utilize Granola to remain present in meetings without losing every thought that turns up.

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Granola makes that instinct productive. I could probably do this with most chatbots' voice modes ChatGPT, Claude, even a standard voice memo plus a manual summary. Granola's edge is that it's purpose-built for capture and extraction. It's not trying 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 at the same time.

I use it mainly for scripting YouTube videos, short-form content, anything where I desire the output to in fact sound like me instead of generic AI-speak. My typical setup looks like this: Examples of my own previous material (this teaches it my voice) Referral 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.

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It's synthesizing my voice from Group 1 with the structural patterns from Group 2. The output still requires modifying, but I'm beginning from something that seems like me riffing on concepts I in fact appreciate not a generic script design template. I can likewise access multiple models (ChatGPT, Claude) within the very same work space, which is useful when I want to compare outputs or utilize different designs for various parts of the process.

The real tool beneath is more thoughtful than its landing page recommends, however it's a meaningful financial investment. Plans are yearly just with a credit-based system, so it's worth screening within the 30-day money-back warranty before you go all in.Price: From $400/year (annual billing just; 30-day money-back warranty) Here's what I've found works better than asking AI to write my material: 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 helpful for material work is the combination of deep reasoning and the capability to really reveal me things.

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

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