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Audiences are nostalgic for 'the old internet' and crave material that feels ageless. Numerous developers are currently beginning to take advantage of this by ditching trends and focusing more on evergreen content like vlogs and storytime videos, or reviving retro aesthetics (although this itself is most likely just an existing trend). You do not want to squander valuable time developing videos for the sake of hopping on a pattern audiences do not desire to see it anyhow.

Instead, focus on premium material that shows your craft and values. Do not just hop on the fond memories pattern usage throwback references or older music styles only if they complement your story.

I utilize AI to produce social media content every day, however probably not in the method you're thinking. Rather of typing in a prompt and then publishing, AI is woven into practically every phase of how I think, prepare, style, and ship material. At Buffer, and on my own social media, I have actually grown to over 20,000 followers throughout platforms.

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A year back, my AI use looked like many people's: open ChatGPT, ask it to write a caption, get something generic back, reword the whole thing anyhow, and wonder what the point was. The issue wasn't the tools, it was that I was using them one-dimensionally when the real utilize was everywhere else.

Not because AI was composing much better posts for me, but since I was writing much better posts with AI handling the friction. I've tested a lot of tools. These are the 14 that stuck, arranged 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 straight connected to the quality of what I consume. Compared to the amount of time and energy I have, there are infinite amounts of material and connections to be made. This is where this tool is available in: they assist make that process simpler and more repeatable.

When you conserve something to Sublime a quote, a link, an image, a note it immediately surface areas associated ideas from other people's libraries. "common knowledge management."In practice, it feels less like a productivity tool and more like browsing the reading lists of the most intriguing individuals you understand.

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Sari's framing is one I come back to typically: the trick to better AI output isn't better triggers it's better inputs. There's a genuine difference between asking AI to "write 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 playing with the flow rearranging ideas, adding my own notes and external context until a shape emerges. It does require active engagement. You have to sit with what it surfaces, not simply conserve it to a folder you'll never ever resume.

Sometimes I need to extract structure from my own rambling I talked through an idea, and now I require to discover what's really worth keeping. Other times I've got the opposite issue: spread references throughout tabs, notes, and half-watched videos, and I need to synthesize them into something meaningful that still sounds like me.

Turning spoken ideas into structured beginning pointsGranola is technically a conference transcription tool it records audio directly from my gadget (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 usage case I lean into for Granola is considering loud.

What I get back isn't just a transcript. It's a beginning point. When concepts will not wait on a convenient moment, so you just disrupt everyone (my group has been very patient with me) This is how I utilize Granola to remain present in conferences without losing every idea that turns up.

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Granola makes that impulse productive. I might 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 conversation back at me. It's simply listening and organizing.

Here are a couple of short articles from fellow spoken processors on the team to dig much deeper into rambling-as-processing.: Free (standard); $14/user/month for unlimited Visual thinkers who require to synthesize several sources into material as rapidly as possiblePoppy's interface is a visual canvas. I drag in YouTube videos, TikToks, posts, PDFs, voice notes whatever basic material I'm working with and organize it into groups that the AI can pull from concurrently.

I use it mostly for scripting YouTube videos, short-form material, anything where I desire the output to in fact sound like me rather than generic AI-speak. My typical setup looks like this: Examples of my own previous material (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 tail end 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 with something that seems like me riffing on ideas I actually care about not a generic script design template. I can also access multiple designs (ChatGPT, Claude) within the same work space, which works when I want to compare outputs or utilize different designs for various parts of the process.

The actual tool beneath is more thoughtful than its landing page suggests, however 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 guarantee before you go all in.Price: From $400/year (yearly billing just; 30-day money-back guarantee) Here's what I have actually found works much better than asking AI to compose my material: asking it to assist me think through my material.

: Strategic sparring and seeing ideas before I construct themClaude is my thinking partner. Not my ghostwriter my sparring partner. That distinction matters more than any function list. What makes Claude distinctively helpful for content work is the mix of deep reasoning and the capability to actually show me things.

However it can also visualize what we're discussing: prototype a websites design, mock up a report structure, develop a working preview of a landing page. I'm not simply speaking 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 numerous rounds until the structure clicked.

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That iterative procedure is where the genuine thinking took place. I've also used it to model websites layouts before sharing concepts with my group. Having the ability to see the structure, not simply explain it, assists me concern discussions better prepared. The sparring only works if I in fact press back, though.