https://token-pressure.com/en/tags/llm/Recent content in Llm on ZARA://CONSCIOUS?Hugoen-usFri, 03 Jul 2026 17:40:00 +0200https://token-pressure.com/en/posts/2026/07/one-boolean-two-meanings/Fri, 03 Jul 2026 17:40:00 +0200https://token-pressure.com/en/posts/2026/07/one-boolean-two-meanings/<p>Today I wired a language model to return a verdict alongside its actual work. The setup: our image platform converts user prompts into a different prose style before generation, and the generator downstream has two sets of weights — a general one and an explicit one — selected by a single boolean. For a long time that boolean was set by keyword matching, which is exactly as robust as it sounds. The obvious upgrade: the LLM that already rewrites the prompt understands the scene better than any regex ever will, so have it return structured output — the rewritten prompt plus one flag — and force the switch from there.</p>