Jay Khalife @softwarecitrus

AI is now being used to recreate Adobe’s software, a developer has released seven free, open-source apps as clean-room alternatives to Adobe’s main tools: - PhotoCraft → Photoshop - VectorCraft → Illustrator - FilmCraft → Premiere Pro - LightCraft → Lightroom - EffectCraft → After Effects - DesignCraft → InDesign - PrintCraft → Acrobat Pro Built in Rust with help from Claude Opus 5.5, they run on Windows, Linux, and macOS under MIT/Apache licenses without using Adobe’s source code.

Meta opened Muse to developers on Sept 18. 2,000+ connector submissions in a week. Four days later, Amazon blocked it entirely. Greg Eisenberg calls it the App Store moment for AI. Chamath says everyone will start blocking everyone. Both are probably right.

The AI Doc just hit Netflix. A director interviews the CEOs of Anthropic, OpenAI and DeepMind while awaiting his first kid, then coins "apocaloptimist": dread and hope at once. I expected to pick a side. Left holding both. Which side does your gut pick? the-ai-squeeze.beehiiv.com/p/i-watched-th…

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So let me get this straight.... 1. Agents are about to outnumber humans on the internet, so most of the traffic, transactions, and conversations online will soon be machines talking to other machines while we sleep. 2. Superintelligence exists now, and for $20/mo you pretty much get it all. 3. Cloud agents allow you to run a business 24/7 and from literally a phone while you're waiting to order a latte. 4. Voice AI is wide open. This industry has barely changed since the 90s. Infinite opportunities. Voice AI is finally getting good enough. 5. Mobile apps are interesting again for the first time in 10 years, because an AI-first app that thinks and acts on its own is a different species than the passive ones in the store today. There are kids doing $100k/MRR. 6. It's the golden age of open source. The models you download off Hugging Face for free and own forever are landing within months of the ones behind paywalls, so the smartest thing on earth can't be throttled, priced up, or shut off by a company having a bad quarter. 7. The keyboard is on its way out. We spent 40 years learning to type fast, and it's about to feel like handwriting, because soon you just talk and the computer goes and does it. 8. Every company is about to hire agents with their own logins, their own inboxes, their own track records, and a shadow economy is forming where agents pay, hire, and vouch for other agents. 9. Software stopped being something you buy and became something you rent by the hour. The whole industry is repricing from $50 a seat to thousands per outcome. Tons of opportunity. 10. Robots are about to have the moment software agents just had. The intelligence got solved. Now it's dropping into machines with arms and legs, and the people who can wire AI into hardware are about to be the most fought-over hires on earth. 11. The 10-person startup can now out-ship the 500-person company, and everyone can feel it happening. 12. Every white-collar task is getting a "do it for me" button, and most people haven't pressed it yet. 13. Data you've been sitting on for years is suddenly worth something, because now an agent can actually use it. 14. Language stopped being a barrier. Real-time translation that actually works means the next huge consumer app might get built for a market you can't even read, by someone you'll never meet. 15. Every SOP is turning into a product. The way a business does one thing, written down as a markdown file an agent can run, is now something you can sell. Knowledge that used to live in someone's head became downloadable. 16. The moat moved from what you know to how well your business is written down. The company an agent can actually run wins, so being legible beats being big. 17. Since agents will get scammed by other agents, a whole trust layer has to get built. The Yelp for agents. The escrow for machines. Wide open. 18. You keep the whole thing now. A business that needed 50 people to hit $10M needs 3 and some agents, so instead of splitting it 200 ways with investors, it's just yours. 19. Search engines minted a generation of millionaires and billionaires. LLM search is about to do it all over again. Billions of eyeballs are moving off Google and onto ChatGPT, so being the answer inside the models is the new front page. 20. The margins are stupid. You charge someone what they'd pay a human, and it costs you a few bucks in tokens. That gap used to go to payroll. Now it goes to you. Any one of these would DEFINE a decade on its own. We got ALL of them at once, stacked on top of each other in the same 18 months. It's a magical time to be building. You don't need to overthink it. Build.

I break down one book or AI-first idea every week in The AI Squeeze. Subscribe here → magic.beehiiv.com/v1/08e69f12-b9…

"Nobody shows you the hours of becoming," Duckworth writes. A loop with no feedback is all hours, no becoming. Does your agent loop have a critical signal wired back in — or is it just running?

An agent answered 50,000 support tickets last month. On ticket 50,000 it was exactly as good as it was on ticket 1. It ran a loop for weeks. It never practiced.

I break down one book or AI-first framework every week in The AI Squeeze. Subscribe here → magic.beehiiv.com/v1/08e69f12-b9…

The deepest pattern: Dweck proved that the word "yet" transforms a verdict into a status update. "Our agent can't handle complex queries" → fixed endpoint. "Our agent can't handle complex queries yet" → capability roadmap. The teams that build "yet" into their architecture — versioned models, progressive capability rollout, evaluation loops that expect improvement — are the ones that compound. The teams that treat launch accuracy as the final exam are the ones that flatline.

Two AI-first teams. Same model. Same stack. Same budget. One improves every week. The other flatlines after launch. The difference is not technical. It's the belief system embedded in how they evaluate performance. Carol Dweck mapped it thirty years ago.