What’s new. What matters. What do you think?
I pay for both Claude and ChatGPT and reach for them on purpose. Here's my honest decision framework for when Anthropic wins, when OpenAI does, and why I keep both.
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Open the full discussionYou can sell AI-powered research briefs as a real service - if they don't read like a chatbot wrote them. Here's the offer, the human layer that justifies the price, and how…
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The Kittl design hustle that actually works isn't selling prompts - it's selling finished files people can download and use. Here's how to build a digital-product business around it.
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Seedance is ByteDance's video specialist - 30-second clips and uncanny human motion. It's a lesson in why the smart 2026 play is specialist video tools, not one model for everything.
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Most people use ChatGPT for 5% of what it can do. A plain-English guide to the OpenAI stack in 2026 - voice, memory, image and data tools, custom GPTs - for regular…
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The big AI-image shifts sellers actually feel: readable text, character/style consistency, and in-context editing like Nano Banana. Here's what's new and which tools to use for what.
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Open weights or closed API? For most normal builders the honest answer is 'start closed, earn open.' Here's the real trade-off, minus the ideology.
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A full, repeatable AI workflow for bloggers - from keyword research to a page that actually ranks - with the human steps that keep Google (and readers) on your side.
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Meta's AI video play (Vibes + Movie Gen) has something rivals don't: billions of built-in viewers. But that same reach makes trust and disclosure a much harder test. Here's the honest read.
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Meta pulled its 'Muse Image' tool after backlash for letting people AI-edit photos from public Instagram accounts. The lesson: on social platforms, consent is the real product.
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The New York Times' copyright case against OpenAI is still grinding through court in 2026 - and it quietly shapes what your AI tools can do, cost, and even keep about your…
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Audio Overviews, Video Overviews, study guides, mind maps - Google is quietly assembling the whole learning loop inside NotebookLM and Gemini. Here's how to use it (and what it's really after).
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