Summary
NetworkChuck explains decision models, a new kind of AI that cannot chat, search the web, or call tools, yet has drawn rapid imitation. Instead of returning text, a decision model returns a verdict with a confidence level, such as a 92% likelihood that a YouTube comment is spam. Similar ideas are now appearing in a Decisions API from OpenAI, in offerings from Cloudflare, and in Ollama.
The video walks through the model’s playground with live examples, including spam detection and a judgment call on whether a networking product fits a specific user’s needs. It then compares speed head to head with a fast ChatGPT model on the same task, showing a gap of seconds versus a fraction of a second. Chuck also demonstrates how these models can drive fast, repeatable actions like playing Doom or ordering a pizza.
A conversation with the model’s creators frames decision models as smart if statements or AI-powered logic gates. The video contrasts them with traditional machine learning classifiers, which must be retrained for each new question, and explains why a general decision model can answer new questions without a machine learning engineer. Viewers learn who these models are for, where they fit alongside LLMs as fast System 1 style components, and whether they are worth adopting for automation work.
📺 Source: NetworkChuck · Published October 27, 2026
🏷️ Format: Tutorial Demo
