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Audiences are sentimental for 'the old web' and long for content that feels classic. Numerous developers are currently beginning to take advantage of this by dropping patterns and focusing more on evergreen content like vlogs and storytime videos, or reviving retro visual appeals (although this itself is likely simply a current trend). You do not want to lose important time developing videos for the sake of hopping on a trend audiences don't wish to see it anyway.

Don't feel forced to post every day. Rather, focus on top quality material that shows your craft and values. Don't simply get on the fond memories pattern usage throwback references or older music styles only if they match your story. Select those that line up with your brand name and skip the rest.

I utilize AI to develop social networks content every day, but probably not in the way you're believing. Instead of typing in a prompt and after that 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've grown to over 20,000 followers throughout platforms.

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

Not since AI was writing much better posts for me, but due to the fact that I was writing better posts with AI handling the friction. I've evaluated a lot of tools. These are the 14 that stuck, arranged by where in my workflow they can be found in, beginning well before I open a blank page.

I'm a company follower that the quality of my content is straight 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 assist make that process easier and more repeatable.

Where I wish to break away remains in making connections and having an unique point of view, so my content does not feel derivative. Superb helps me do that. When you conserve something to Sublime a quote, a link, an image, a note it right away surfaces associated ideas from other people'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 fascinating individuals you know.

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Sari's framing is one I come back to often: the trick to much better AI output isn't better prompts it's better inputs. There's a real distinction in between asking AI to "write me something about personal branding" and handing it 40 concepts 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 flow rearranging concepts, including my own notes and external context till a shape emerges. It does need active engagement. You need to sit with what it surface areas, not just wait to a folder you'll never ever reopen.

Sometimes I require to draw out structure from my own rambling I talked through an idea, and now I require to discover what's in fact 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 seems like me.

Turning spoken ideas into structured starting pointsGranola is technically a conference transcription tool it records audio straight from my device (no awkward bot signing up with the call) and uses AI to turn raw discussion into organized 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 return isn't simply a records. It's a beginning point. When ideas won't await a convenient minute, so you simply disrupt everybody (my group has been really patient with me) This is how I use Granola to remain present in meetings without losing every thought that turns up.

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Granola makes that impulse productive. 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 all at once.

I utilize it mostly for scripting YouTube videos, short-form content, anything where I want the output to actually sound like me instead of generic AI-speak. My normal setup looks like this: Examples of my own previous content (this teaches it my voice) Referral 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 synthesizing my voice from Group 1 with the structural patterns from Group 2. The output still requires editing, however I'm beginning with something that sounds like me riffing on concepts I really care about not a generic script template. I can also access multiple models (ChatGPT, Claude) within the same workspace, which is useful when I wish to compare outputs or utilize different models for various parts of the procedure.

The actual tool underneath is more thoughtful than its landing page suggests, however it's a significant investment. Plans are yearly just with a credit-based system, so it deserves testing within the 30-day money-back assurance before you go all in.Price: From $400/year (yearly billing just; 30-day money-back warranty) Here's what I've discovered works better than asking AI to write my content: asking it to help me believe through my content.

: Strategic sparring and seeing concepts before I build themClaude is my thinking partner. What makes Claude distinctively beneficial for content work is the mix of deep thinking and the capability to really show me things.

However it can likewise picture what we're going over: model a web page layout, mock up a report structure, build a working sneak peek of a landing page. I'm not just discussing concepts in the abstract. I'm looking at them. For our upcoming State of Social Engagement report, I went back and forth with Claude over multiple rounds till the structure clicked.

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