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Audiences are nostalgic for 'the old web' and yearn for material that feels classic. Many creators are currently beginning to take advantage of this by dumping trends and focusing more on evergreen content like vlogs and storytime videos, or reviving retro visual appeals (although this itself is likely just a current pattern). You don't wish to waste valuable time creating videos for the sake of getting on a pattern audiences don't want to see it anyhow.

Do not feel pressured to publish every day. Instead, focus on top quality material that shows your craft and values. Don't just hop on the fond memories pattern use throwback recommendations or older music styles only if they match your story. Choose those that line up with your brand name and avoid the rest.

I utilize AI to develop social networks content every day, but probably not in the method 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 networks, I have actually grown to over 20,000 fans across platforms.

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A year earlier, my AI use looked like many people's: open ChatGPT, ask it to compose a caption, get something generic back, rewrite the entire thing anyway, and wonder what the point was. The problem wasn't the tools, it was that I was utilizing them one-dimensionally when the real take advantage of was everywhere else.

Not due to the fact that AI was writing much better posts for me, however due to the fact that I was composing better posts with AI handling the friction. I've tested a great deal of tools. These are the 14 that stuck, arranged by where in my workflow they are available in, starting well before I open a blank page.

I'm a company believer that the quality of my material is straight connected to the quality of what I consume. Compared to the quantity of time and energy I have, there are boundless amounts of content and connections to be made. This is where this tool can be found in: they help make that procedure much easier and more repeatable.

When you save something to Sublime a quote, a link, an image, a note it immediately surface areas related concepts from other individuals's libraries. "common understanding 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 often: the trick to better AI output isn't much better prompts it's much better inputs. There's a real difference between asking AI to "compose me something about individual branding" and handing it 40 concepts you've been gathering about identity, craft, and audience-building and asking it to find the thread.

Or I'll drop them onto a digital infinity board and begin playing with the flow rearranging ideas, including my own notes and external context up until a shape emerges. It does need active engagement, however. You need to sit with what it surface areas, not simply wait to a folder you'll never reopen.

Often 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 across tabs, notes, and half-watched videos, and I need to synthesize them into something coherent that still sounds like me.

Turning spoken ideas into structured beginning pointsGranola is technically a conference transcription tool it captures audio directly from my gadget (no awkward bot joining the call) and uses AI to turn raw discussion into arranged notes. But 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 just a records. It's a beginning point. When ideas will not await a convenient moment, so you just disrupt everyone (my group has actually been very patient with me) This is how I utilize Granola to stay present in conferences without losing every idea that appears.

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Granola makes that impulse productive. I could perhaps 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 discussion back at me. It's just listening and arranging.

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

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

The actual tool underneath is more thoughtful than its landing page suggests, however it's a meaningful financial 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 (annual billing only; 30-day money-back assurance) Here's what I've discovered works much better than asking AI to write my material: asking it to help me analyze my content.

: Strategic sparring and seeing concepts before I build themClaude is my thinking partner. Not my ghostwriter my sparring partner. That distinction matters more than any function list. What makes Claude uniquely beneficial for content work is the combination of deep thinking and the capability to in fact reveal me things.

However it can likewise envision what we're discussing: model a websites layout, mock up a report structure, construct a working preview of a landing page. I'm not simply speaking about 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 several rounds till the structure clicked.

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