Coding with AI agents gives you instant results, which floods your brain with quick hits of easy dopamine. While this feels exciting and keeps your energy high in the moment, getting rewards without much effort has a serious hidden downside. When your brain gets used to constant instant gratification, your patience for slow, deep problem-solving starts to disappear. You might find yourself avoiding the tedious work of truly understanding how things work under the hood, jumping from prompt to prompt just to get another quick thrill of seeing code appear. Over time, this continuous stream of easy hits can shorten your attention span, make standard debugging feel unbearably frustrating, and leave you mentally drained—addicted to the speed of the output rather than the depth of genuine mastery.
Fuat Beşer
I build AI products and platforms powered by LLMs and AI agents, designed to translate cutting-edge research into tangible business value. Concurrently, I build educational initiatives and frameworks that empower people to understand, develop, and grow alongside this technology. My long-term commitment to AI is rooted in a fundamental belief: AI represent the next logical layer of human capability, augmenting our intellect and creativity to solve problems at a new scale.
Latest
| Feature | SEO (Search Engine Optimization) | GEO (Generative Engine Optimization) / LLMO |
|---|---|---|
| Target Platforms | Classic search engines like Google and Bing | AI answer engines like ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews |
| Primary Goal | High rankings (top 10) to generate direct website clicks and organic traffic | Getting cited, referenced, or recommended as a source inside AI-generated responses |
| User Interaction | Multi-page click-through experience (“ten blue links”) | Zero-click conversational summaries and synthesized answers |
| Key Metrics | Keyword rankings, click-through rate (CTR), organic sessions | AI Visibility, brand citation rates, Share of Voice in LLMs, and AI referral traffic |
LTX 2.5 (ltx.io)
Official page for LTX Video 2.5 — an open-source AI video generation model by Lightricks. Optimized for high-resolution video creation, realistic motion, and fast inference directly from text or image prompts.
Anatomy: the object is the explanation
Most technical diagrams are boxes and arrows. They show that the parts exist, but not what the parts do — you have to imagine the motion yourself.
Anatomy takes the opposite approach. It’s a skill for Claude Code that, given one line naming an idea, invents a real machine whose mechanism maps one-to-one onto that idea, then draws it as a live isometric figure. A queue becomes a marble run. An LRU cache becomes a bookcase with four places on top. A bloom filter becomes a fruit machine whose three reels are three hash functions. The author describes it in a single rule: the object is the explanation.
Each figure is built from 40 to 500+ solid parts, shaded with a single light source and one highlighted “watch this” part. You can drag, hover and use the keyboard; there’s an idle tour, it pauses when off-screen, and it goes still under reduced motion. Every readout is computed from the same model that animates the parts, so the picture and the numbers can’t disagree.
Figures ship as framework-free SVG/TypeScript or React components (anatomy-figures), with five themes, and can also be exported as printable A4 sheets. It’s MIT-licensed.
In the future, every company will be a software company.
AI Agents, Clearly Explained
What an AI agent actually is, how its perceive–plan–act loop works, where agents go wrong, and when you shouldn't use one at all.
Continue reading “AI Agents, Clearly Explained” · 9 min read