LLMs, RAG, prompts, and the part of the stack that hallucinates.
Everyone thinks 'ultra' means Claude thinks harder. Wrong machine. ultracode is the setting where Claude quits being one brain and becomes an org chart — it writes a script, fans your task out to a swarm of agents, makes them fact-check each other, and hands you one answer. Here's what's actually happening behind the toggle.
Everyone can name Google's AI model. Almost nobody can tell you what Vertex AI does — and the boring one is where AI actually ships. Because shipping AI was never about the model. The model is the easy part.
AI, ML, deep learning, Gen AI, foundation models, LLMs — people use them like synonyms. They're nested dolls. ChatGPT is the youngest, smallest one, sitting several layers down inside a 70-year-old field.
Everyone sells the agent demo. Nobody explains the part that matters: an agent is a model stuck in an observe→act loop with your API keys. That loop is the whole magic — and the reason it deletes your database.
Human-in-the-loop is the boring, expensive part of AI that nobody puts on the landing page. Also the part that keeps your company off the news.
Every bad prompt is a 'call me.' text — no context, no urgency, no clue what's on fire. Prompt engineering is mostly: please stop making everyone guess.
Teams ripping out deterministic systems for LLMs are about to regret it. The right move is older and weirder: keep the rules, swap the doorway.