Agent Systems

Opening — Why this matters now Synthetic data has become one of AI’s favorite escape routes. Real data is expensive, legally awkward, slow to collect, unevenly labeled, and sometimes simply unavailable. LLMs offer a tempting alternative: generate the missing examples, fill the long tail, create evaluation suites, simulate edge cases, and keep the training pipeline moving. Convenient. Elegant. Also mildly dangerous, which is usually where the interesting part begins. ...

Opening — Why this matters now There is a quiet shift happening in AI—not in model size, but in how models think. For the past two years, the industry has optimized reasoning by refining prompts: Chain-of-Thought, Tree-of-Thoughts, Graph-of-Thoughts. Each iteration made reasoning more structured, more deliberate, more… verbose. But underneath the surface, the paradigm remained unchanged: reasoning is still a temporary, disposable process. ...