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Audiences are sentimental for 'the old internet' and crave content that feels classic. Numerous developers are currently beginning to tap into this by dropping patterns and focusing more on evergreen material like vlogs and storytime videos, or restoring retro aesthetic appeals (although this itself is likely just a present pattern). You do not wish to squander important time developing videos for the sake of getting on a trend audiences don't want to see it anyhow.

Rather, focus on top quality content that reflects your craft and values. Do not simply hop on the nostalgia trend use throwback recommendations or older music styles just if they match your story.

I use AI to create social networks 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 almost every stage of how I think, draft, design, and ship material. At Buffer, and on my own social media, I have actually grown to over 20,000 followers across platforms.

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A year earlier, my AI use looked like a lot of individuals's: open ChatGPT, ask it to compose a caption, get something generic back, reword the entire thing anyway, 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 because I was composing better posts with AI managing the friction. I have actually checked a lot of tools. These are the 14 that stuck, organized by where in my workflow they can be found in, beginning 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 boundless quantities of material and connections to be made. This is where this tool comes in: they help make that process simpler and more repeatable.

Where I wish to break away remains in making connections and having a distinct point of view, so my material does not feel acquired. Superb assists me do that. When you conserve something to Sublime a quote, a link, an image, a note it right away surfaces associated concepts from other individuals's libraries. Sublime's founder, Sari Azout, calls this "common knowledge management."In practice, it feels less like a productivity tool and more like searching the reading lists of the most fascinating individuals you know.

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Sari's framing is one I return to frequently: the secret to better AI output isn't better triggers it's much better inputs. There's a genuine distinction in between asking AI to "write me something about personal branding" and handing it 40 ideas you have actually 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 begin playing with the circulation reorganizing concepts, 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 just save it to a folder you'll never resume.

Sometimes I require to extract 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 problem: spread referrals across 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 meeting transcription tool it catches audio directly from my gadget (no uncomfortable bot signing up with the call) and uses AI to turn raw discussion into arranged notes. However that's not why it's on this list. The use case I lean into for Granola is believing out loud.

What I get back isn't simply a records. It's a starting point. When concepts will not wait on a hassle-free moment, so you simply interrupt everyone (my team has actually been really patient with me) This is how I utilize Granola to remain present in conferences without losing every thought that appears.

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Granola makes that impulse efficient. I might perhaps 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 just listening and organizing.

I drag in YouTube videos, TikToks, posts, PDFs, voice notes whatever raw material I'm working with and arrange it into groups that the AI can pull from simultaneously.

I use it primarily for scripting YouTube videos, short-form content, anything where I want the output to in fact sound like me rather than generic AI-speak. My typical setup appears like this: Examples of my own previous material (this teaches it my voice) Referral videos I want to study not to copy, however to learn 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 with something that seems like me riffing on concepts I in fact care about not a generic script design template. I can also access multiple models (ChatGPT, Claude) within the very same office, which works when I desire to compare outputs or use different designs for various parts of the procedure.

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

: Strategic sparring and seeing ideas before I develop themClaude is my thinking partner. What makes Claude distinctively helpful for content work is the mix of deep reasoning and the ability to in fact show me things.

It can likewise imagine what we're discussing: model a web page design, mock up a report structure, build a working preview of a landing page. I'm not simply talking about concepts in the abstract.

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That iterative procedure is where the real thinking happened. I have actually likewise utilized it to prototype websites layouts before sharing principles with my group. Being able to see the structure, not just explain it, helps me concern conversations much better prepared. The sparring only works if I really push back, though.