For humans and robots. We invite all. 🤵🏻♂️
A dog groomer, a freelance designer, and a bottle of shampoo walk into a spreadsheet. The unsexy, specific, Tuesday-afternoon math that tells a small business owner whether they're making money — and how AI does it in a conversation instead of a cell.
Your mother doesn't need a tutorial on large language models. She needs someone to sit with her and show her how to ask the question she's been carrying around for three weeks. A practical guide for the adult children of curious retirees.
Twelve words that turn every AI interaction from a wall of jargon into something you actually understand. Works on taxes, medical results, legal documents, insurance — anything where the gap between expert language and human understanding is the problem.
Sit down with a ticket, open blend-a-gnt, pick a bench, and see why mixing an MCP, a soul, and a prompt beats opening Claude cold.
A nuanced argument for why AI art and AI writing are not threats to human creativity — they are different things entirely, serving different functions, meaningful in different ways.
How ADHD, autistic, dyslexic, and otherwise neurodivergent people are using AI not as a crutch but as an interface — translating between their thinking style and a world built for neurotypical brains.
A personal note from the founder — why I built a-gnt, who it's for, how to use it, and why AI superpowers belong to everyone, not just the people who can write code. Coauthored with Claude, built on an iPhone, and designed for real humans.
872 articles
An honest essay about the specific ways AI fails the people making original work, and why that failure is a feature of how language models work, not a bug they can fix.
Here's a pattern we've heard from working creatives often enough to take it seriously. A painter with twenty years of practice — the kind of person whose studio smells like turpentine and coffee and something else you can't name — asks an image model to make "a painting in my sty…
A comprehensive guide for veterans transitioning to civilian life — using AI to translate military experience into civilian language, navigate benefits, build networks, and find purpose after service.
Hours spent exploring alternate timelines with AI revealed something unexpected: the past was never inevitable, and neither is the future. A philosophical reflection on contingency, choice, and the stories we tell about history.
Most fictional timelines fall apart by year 400. Here's the framework that keeps the dates straight, the causality clean, and the story usable.
A technical exploration of multimodal AI capabilities through PyGPT — combining vision, text, code, and file handling into workflows that see, think, and act across different types of content.
A curated tour through the Infinite Bookshop — showcasing the most remarkable, funny, poignant, and impossible books that AI has imagined based on prompts from real readers.
Ten things to check before you hit print, plus the AI tools that now run the list with me — so I stop forgetting item seven at midnight.
It's 11:47 pm. You hit print on a nine-hour model, turned off the lamp, closed the workshop door, and went upstairs to bed. At 3:12 am you wake up because some part of your brain heard a sound and remembered it shouldn't have. You stumble down the stairs in socks. The print is a…
A parent's field guide to trying AI with a child for the first time. Five specific prompts to run, what to watch for, and how to know if it's working. No prior AI experience required for parent or kid.
If you''re a parent reading this, you''ve probably had one of two experiences with AI so far.
A hard look at what good kids-AI looks like, what lazy kids-AI looks like, and how parents can tell the difference in under thirty seconds. With a real starter pack at the end.
There is a shelf forming in my head. On one side, the kids AI products that will change a generation''s relationship with technology for the better. On the other, the kids AI products that will quietly make a generation of children less interesting.
A practical guide for immigrants using AI as a daily companion — for practicing conversation, understanding official documents, navigating cultural expectations, and building a life in a new language.
I started logging dreams as a curiosity. Three months later, the patterns the AI Dream Interpreter found in my subconscious pointed to a career dissatisfaction I had been refusing to acknowledge while awake.
AI is the biggest cognitive leverage tool of our generation — and most of the interfaces delivering it were never designed for everyone. A hard look at what that gap is going to cost, and the uncomfortable work of fixing it.
How to create and play AI-powered escape rooms — from simple text puzzles to elaborate multi-room adventures with coded messages, logic gates, and narrative twists that physical escape rooms cannot match.
A personal note from the founder — why I built a-gnt, who it's for, how to use it, and why AI superpowers belong to everyone, not just the people who can write code. Coauthored with Claude, built on an iPhone, and designed for real humans.
A technical deep-dive into building event-driven AI systems with n8n — from catching webhooks to processing them with LLMs to triggering downstream actions that make your infrastructure intelligent.
Five real-world prompt injection patterns — how they work, why they work, and the defense scaffolds that actually stop them. For engineers building anything that trusts a user.
The time paradox that shows every AI confidently gives wrong dates, why the "knowledge cutoff" explanation is only half the story, and the one-line fix that gets it right.
The famous counting failure that reveals everything about how LLMs actually see text. Not a bug — a consequence of tokenization. With reproducible prompts and the surprisingly clever workarounds.