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I’ve been building for 20+ years, and now I do it with AI. I show you what works, where it breaks, and how you do it too. Simplified.

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C Claude Code B Base44 A Astro V Vercel C Cursor F Figma S Supabase n n8n M Manus C Codex G Gemini N Nano Banana O OpenArt.ai M Midjourney I Ideogram K Kittl C Claude Code B Base44 A Astro V Vercel C Cursor F Figma S Supabase n n8n M Manus C Codex G Gemini N Nano Banana O OpenArt.ai M Midjourney I Ideogram K Kittl

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AI, explained simply and in your language

Welcome. Here I build real things with artificial intelligence and show you exactly how to make them yourself, step by step and in your language. I’ve been building on screen for over 20 years; now I do it with AI and I’m recording all of it for you. No jargon, no “you should already know this”: we start from zero and go as far as you want. The YouTube channel starts very soon: stick around so you don’t miss it.

Latest project

Secure Password Generator

Pick the length and character types, check the strength meter and copy your password. Everything is generated in your browser, nothing is saved or sent. Free, no API.

  • Claude Code
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News

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OpenAIJul 11

OpenAI Launches GPT-Live-1: The First Full-Duplex Voice Model That Listens and Speaks Simultaneously

What OpenAI launched this week is not just a voice upgrade: it is an architecture change. GPT-Live-1 processes what it hears and what it says at the same time, making decisions about when to speak, pause, or interrupt many times per second. That is what "full-duplex" means, and it is the difference between a conversational turn and an actual conversation. The numbers that stand out most: on BrowseComp, which measures agent-based web search capability, GPT-Live-1 jumped from 0.7% to 75.2%. On GPQA, a graduate-level scientific reasoning benchmark, it rose from 45.3% to 84.2%. These are not gradual improvements; they are category jumps. That said, these benchmarks were published by OpenAI itself, which is both judge and player, so it is worth waiting for independent evaluations before treating the numbers as definitive. For freelancers, creators, and business owners: voice agents at this level change what is possible in customer interaction automation, interactive experiences, and workflows that previously required a person on the line. GPT-Live-1 mini (for free accounts) and standard GPT-Live-1 (for Go, Plus, and Pro) are already available on iOS, Android, and ChatGPT.com. Does your business or project have any workflow that could benefit from a voice interface that actually listens and responds in real time?

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TechTimes / Geeky GadgetsJul 11

Gemini 3.5 Pro Targets July 17 Launch with 2 Million Token Context Window and Deep Think Reasoning

According to multiple reports published in the past few days, Google DeepMind is targeting July 17 for the Gemini 3.5 Pro launch. What stands out is not the date but the core decision: they scrapped the previous architecture and rebuilt from scratch with a new pretraining run. That explains the months of delays and also signals this is not an incremental update. The most concrete data circulating: a 2 million token context window (double that of Gemini 2.5 Pro), a new reasoning layer called Deep Think for multi-step problems, and improvements targeting math, SVG generation, and frontend coding. Leaked pricing estimates put input costs at around $12 to $15 per million tokens. To be clear: the July 17 date and technical specifications are circulating as leaks, not as an official Google announcement. Until an official model card or API documentation appears, treat these numbers with appropriate skepticism. This model has a track record of slipped dates. For anyone designing systems with language models: is it worth waiting for Gemini 3.5 Pro before committing to the architecture of a new project, or better to build with what is available today and migrate later if it makes sense?

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