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Audiences are nostalgic for 'the old web' and crave material that feels timeless. Lots of creators are currently beginning to tap into this by ditching trends and focusing more on evergreen material like vlogs and storytime videos, or reviving retro aesthetic appeals (although this itself is likely simply a current trend). You do not wish to waste valuable time developing videos for the sake of getting on a trend audiences do not wish to see it anyhow.

Do not feel pressured to publish every day. Instead, focus on premium content that reflects your craft and worths. Do not just hop on the nostalgia pattern use throwback recommendations or older music designs just if they match your story. Pick those that line up with your brand and avoid the rest.

I use AI to create social networks material every day, but most likely not in the way you're believing. Instead of typing in a timely and after that publishing, AI is woven into practically every stage of how I think, draft, style, and ship content. At Buffer, and on my own social media, I have actually grown to over 20,000 fans throughout platforms.

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A year ago, 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 question what the point was. The problem wasn't the tools, it was that I was utilizing them one-dimensionally when the genuine take advantage of was all over else.

Not because AI was writing better posts for me, however since I was composing better posts with AI handling the friction. I have actually checked a lot of tools. These are the 14 that stuck, organized by where in my workflow they come in, starting well before I open a blank page.

I'm a company believer that the quality of my content is directly tied to the quality of what I take in. Compared to the quantity of time and energy I have, there are unlimited quantities of content and connections to be made. This is where this tool is available in: they help make that process much easier and more repeatable.

Where I want to break away remains in making connections and having a special point of view, so my content doesn't feel derivative. 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 "communal understanding management."In practice, it feels less like an efficiency 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 much 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 personal branding" and handing it 40 ideas you have actually 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 playing with the flow reorganizing ideas, adding my own notes and external context up until a shape emerges. It does need active engagement, though. You need to sit with what it surfaces, not just conserve it to a folder you'll never ever reopen.

Sometimes I need to draw out structure from my own rambling I talked through an idea, and now I require to discover what's actually worth keeping. Other times I have actually got the opposite issue: scattered references 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 thinking out loud.

What I get back isn't just a transcript. It's a starting point. When ideas won't wait on a convenient minute, so you just disrupt everybody (my team has actually 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. I could arguably 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 conversation back at me. It's just listening and organizing.

Here are a couple of posts from fellow spoken processors on the team to dig deeper into rambling-as-processing.: Free (fundamental); $14/user/month for limitless Visual thinkers who require to manufacture several sources into material as rapidly as possiblePoppy's interface is a visual canvas. I drag in YouTube videos, TikToks, articles, PDFs, voice notes whatever raw material I'm dealing with and arrange it into groups that the AI can pull from at the same time.

I use it mainly for scripting YouTube videos, short-form material, anything where I want the output to really sound like me rather than generic AI-speak. My typical setup appears like this: Examples of my own previous content (this teaches it my voice) Reference 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 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 editing, however I'm beginning from something that seems like me riffing on concepts I actually appreciate not a generic script template. I can also access multiple designs (ChatGPT, Claude) within the same workspace, which works when I want to compare outputs or use various designs for different parts of the process.

The real tool beneath is more thoughtful than its landing page suggests, but it's a significant investment. Plans are annual just with a credit-based system, so it deserves screening within the 30-day money-back assurance before you go all in.Price: From $400/year (annual billing only; 30-day money-back assurance) 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 concepts before I build themClaude is my thinking partner. What makes Claude distinctively helpful for content work is the combination of deep reasoning and the ability to in fact show me things.

But it can also imagine what we're going over: prototype a web page layout, mock up a report structure, develop a working sneak peek of a landing page. I'm not just discussing ideas 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 numerous rounds until the structure clicked.

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I have actually likewise used it to model web page designs before sharing ideas with my team. Being able to see the structure, not just describe it, assists me come to discussions better prepared.