3 questions founders actually ask, each with a
straight answer and the resources worth your time.
Why use AI for blogs, newsletters, and social posts, and how do I avoid sounding like AI?
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As a founder, content is one of your cheapest growth channels, but writing consistently is exactly the kind of work that gets dropped when you're busy, AI removes the blank page and turns a 4-hour blog post into a 45-minute editing job. The catch: readers (and algorithms) now punish generic 'AI voice', so the winning setup is you supplying the ideas, stories, and opinions while AI drafts and polishes. Think of yourself as editor-in-chief and AI as your junior writer, then ruthlessly strip out the tells like 'delve', 'game-changer', and the endless 'It's not X, it's Y' constructions.
Greg Isenberg (The Startup Ideas Podcast)early 2025
One of the world's most-read writers explains the 'editor-in-chief, AI as junior columnist' system, the clearest case for why founders should write with AI and how to keep the judgment human.
A working editor's step-by-step revision system for de-slopping AI drafts, including the actual prompt template his team uses, free and immediately usable.
How do top founders build content engines with AI (repurposing one idea into ten formats)?
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The pattern top creators follow: capture your thinking once, a voice note, a weekly essay, a podcast, then use AI to 'atomize' that one idea into platform-native pieces: a newsletter, five LinkedIn posts, a thread, a YouTube script, short-video hooks. Dan Koe is the best public example: he spends a couple of hours each morning with ChatGPT and Claude acting as his research and strategy team, and that feeds millions of impressions a week across platforms. The key is that AI handles reformatting and volume, while the original idea and point of view stay 100% yours, that's what stops the engine producing spam.
Dan Koe screen-shares his actual daily AI content engine, research, ideation, drafting, repurposing, the single best over-the-shoulder look at a working founder content machine.
A free, ready-to-clone implementation of Dan Koe's framework, six skills covering ideation, drafting, titles, and tweets, if you want to run the engine instead of just watching it.
You don't 'train' the model, you feed it evidence of how you write. Collect 10-20 of your best posts or emails, ask the AI to analyze them and produce a 'voice guide' (tone, sentence rhythm, pet phrases, words you'd never use), then save that guide as standing instructions in a Claude Project, custom GPT, or skill so every draft starts from your voice. From there it's iteration: every time output sounds off, tell it why and update the guide, within a few weeks the AI's first drafts need only light edits.
One of LinkedIn's biggest AI-writing practitioners shares his exact method for getting AI to mimic your voice, short, copyable, battle-tested on millions of impressions.
Step-by-step: export your past LinkedIn posts, feed them to Claude, and build a reusable skill that writes new posts in your proven voice and patterns, free.
A real operator's full setup, identity file, anti-AI style guide, and a custom LinkedIn skill, with his actual config files shared as free GitHub gists.