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Audiences are nostalgic for 'the old internet' and crave material that feels ageless. Numerous developers are already starting to use this by dumping trends and focusing more on evergreen material like vlogs and storytime videos, or restoring retro aesthetics (although this itself is likely just a present trend). You don't desire to waste valuable time producing videos for the sake of getting on a pattern audiences do not desire to see it anyhow.

Rather, focus on top quality material that reflects your craft and worths. Do not simply hop on the fond memories pattern usage throwback referrals or older music designs just if they match your story.

I utilize AI to produce social networks content every single day, however probably not in the method 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 content. At Buffer, and on my own social networks, I have actually grown to over 20,000 followers across platforms.

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A year ago, my AI use appeared like the majority of 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 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 composing much better posts for me, but because I was writing much better posts with AI dealing with the friction. I have actually evaluated a lot of tools. These are the 14 that stuck, organized 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 content is straight tied to the quality of what I consume. However 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 is available in: they assist make that process easier and more repeatable.

Where I want to break away remains in making connections and having an unique point of view, so my material doesn't feel acquired. Superb helps me do that. When you conserve something to Sublime a quote, a link, an image, a note it instantly surface areas related ideas from other people's libraries. Sublime's founder, Sari Azout, calls this "communal understanding management."In practice, it feels less like a productivity tool and more like browsing the reading lists of the most fascinating people you know.

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Sari's framing is one I return to frequently: the trick to much better AI output isn't much better triggers it's much better inputs. There's a genuine distinction in between asking AI to "compose me something about individual branding" and handing it 40 ideas you've 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 start having fun with the circulation reorganizing concepts, adding my own notes and external context until a shape emerges. It does require active engagement, however. You have to sit with what it surfaces, not simply save it to a folder you'll never ever reopen.

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

Turning spoken ideas into structured beginning pointsGranola is technically a meeting transcription tool it records audio straight from my device (no awkward bot signing up with the call) and utilizes AI to turn raw conversation into organized notes. However that's not why it's on this list. The use case I lean into for Granola is considering loud.

What I return isn't simply a records. It's a beginning point. When concepts won't wait for a convenient minute, so you simply interrupt everyone (my team has actually been extremely patient with me) This is how I use Granola to remain present in meetings without losing every thought that appears.

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Granola makes that instinct productive. I could arguably do this with most chatbots' voice modes ChatGPT, Claude, even a fundamental 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 conversation back at me. It's simply listening and organizing.

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

I use it mostly for scripting YouTube videos, short-form material, anything where I want the output to actually seem like me instead of generic AI-speak. My typical setup looks like this: Examples of my own previous content (this teaches it my voice) Reference videos I desire to study not to copy, however to discover 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 needs modifying, however I'm beginning with something that sounds like me riffing on ideas I actually care about not a generic script design template. I can also access numerous models (ChatGPT, Claude) within the exact same work space, which is beneficial when I wish to compare outputs or use various models for different parts of the procedure.

The real tool below is more thoughtful than its landing page recommends, however it's a meaningful financial investment. Plans are annual just with a credit-based system, so it's worth testing within the 30-day money-back guarantee before you go all in.Price: From $400/year (yearly billing just; 30-day money-back warranty) Here's what I have actually found works much better than asking AI to compose my material: asking it to assist me believe through my material.

: Strategic sparring and seeing ideas before I develop themClaude is my thinking partner. What makes Claude uniquely beneficial for content work is the combination of deep thinking and the capability to actually show me things.

But it can also visualize what we're discussing: prototype a websites layout, mock up a report structure, build a working sneak peek of a landing page. I'm not simply talking about 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 multiple rounds until the structure clicked.

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I've likewise used it to prototype web page designs before sharing ideas with my group. Being able to see the structure, not just explain it, helps me come to discussions much better prepared.