Stop forcing LLMs to write disposable Python scripts on the fly. Here is how deterministic capability bundles slash token burn by 84.8%, cut costs by 97.3%, and let 8B local models outperform GPT-5 and Claude Sonnet 5.

Right now, the AI engineering world is trapped in a very expensive delusion: the prompt-driven execution paradigm .

We give an auto-regressive language model a massive markdown dump of API docs, tell it to dynamically synthesize Python or bash scripts on the fly, and pray that it respects security boundaries because we wrote "IMPORTANT: DO NOT DELETE PROD" in all caps in the system prompt.

When it works, it feels like magic. When it hits production, it's a disaster.…