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Audiences are sentimental for 'the old internet' and crave content that feels classic. Many developers are already starting to use this by dumping trends and focusing more on evergreen content like vlogs and storytime videos, or restoring retro aesthetic appeals (although this itself is most likely simply an existing pattern). You don't desire to squander important time producing videos for the sake of getting on a trend audiences don't desire to see it anyhow.

Rather, focus on top quality material that reflects your craft and values. Do not simply hop on the fond memories trend use throwback references or older music designs just if they match your story.

I use AI to create social media content every day, but probably not in the way you're thinking. Instead of typing in a timely and after that publishing, AI is woven into practically every stage of how I believe, prepare, style, and ship content. At Buffer, and on my own social media, I've grown to over 20,000 fans throughout platforms.

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A year earlier, my AI use appeared like a lot of individuals's: open ChatGPT, ask it to compose a caption, get something generic back, reword the whole thing anyway, and question 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 since AI was composing much better posts for me, but due to the fact that I was composing better posts with AI handling the friction. I've evaluated a great deal of tools. These are the 14 that stuck, organized by where in my workflow they are available in, beginning well before I open a blank page.

I'm a firm believer that the quality of my material is directly connected to the quality of what I consume. However compared to the quantity of energy and time I have, there are boundless quantities of material and connections to be made. This is where this tool is available in: they help make that procedure easier and more repeatable.

Where I want to break away is in making connections and having a distinct viewpoint, so my content doesn't feel derivative. Sublime assists me do that. When you conserve something to Sublime a quote, a link, an image, a note it immediately 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 browsing the reading lists of the most intriguing people you understand.

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Sari's framing is one I return to frequently: the secret to much better AI output isn't better prompts it's better inputs. There's a genuine distinction in between asking AI to "write me something about individual 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 having fun with the circulation rearranging ideas, including my own notes and external context up until a shape emerges. It does require active engagement. You need to sit with what it surfaces, not just wait to a folder you'll never resume.

Often I require to draw out structure from my own rambling I talked through an idea, and now I require to find what's in fact worth keeping. Other times I have actually got the opposite problem: spread recommendations throughout tabs, notes, and half-watched videos, and I require to manufacture them into something coherent that still sounds like me.

Turning spoken concepts into structured starting pointsGranola is technically a conference transcription tool it catches audio directly from my device (no awkward bot joining the call) and utilizes AI to turn raw discussion into arranged notes. 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 starting point. When ideas will not wait on a practical minute, so you simply interrupt everyone (my team has been really patient with me) This is how I utilize Granola to stay present in meetings without losing every thought that appears.

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Granola makes that impulse efficient. I could arguably 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 attempting to have a discussion back at me. It's simply listening and organizing.

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

I utilize it primarily for scripting YouTube videos, short-form content, anything where I want the output to actually seem like me rather than generic AI-speak. My normal setup looks like this: Examples of my own previous material (this teaches it my voice) Referral videos I want to study not to copy, but 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 synthesizing my voice from Group 1 with the structural patterns from Group 2. The output still needs modifying, however I'm starting from something that seems like me riffing on concepts I in fact care about not a generic script design template. I can likewise access numerous designs (ChatGPT, Claude) within the very same work area, 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 investment. Strategies are yearly only with a credit-based system, so it deserves testing within the 30-day money-back warranty before you go all in.Price: From $400/year (annual billing only; 30-day money-back assurance) Here's what I have actually found works much better than asking AI to compose my material: asking it to assist me analyze my material.

: Strategic sparring and seeing ideas before I build themClaude is my thinking partner. What makes Claude uniquely beneficial for material work is the mix of deep reasoning and the ability to actually show me things.

It can also picture what we're going over: model a web page layout, mock up a report structure, construct a working sneak peek of a landing page. I'm not just talking about concepts in the abstract.

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That iterative process is where the genuine thinking occurred. I have actually also utilized it to model web page layouts before sharing ideas with my team. Being able to see the structure, not just describe it, helps me come to discussions much better prepared. The sparring only works if I in fact press back, though.