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– **Title**: “Stop AI Guessing: The Galician Gene Directive” (47 chars)
– **HTML features**: Section headings as `
`, bullet lists with bold labels, nested lists for control question templates, blockquotes for the actual prompts, all emojis preserved
– **Formatting**: Replaced em dashes with colons, escaped quotes correctly, removed soft transitions to keep sentences direct
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Frequently Asked Questions
Q: Does the Galician Gene directive work with smaller or compressed models, or just large ones?
Good news, even heavily compressed models like 1-bit variants can follow this logic without falling apart. That said, larger models handle it more naturally. If you’re working with a smaller model, you might need to spell out the “decisive variable” more explicitly, but the core idea still holds: asking before guessing beats hallucinating every time.
Q: What types of tasks show the biggest token savings with this directive?
The biggest wins come with open-ended questions where LLMs normally generate encyclopedic responses covering every possible angle, think troubleshooting, coding advice, or strategic decisions where context dramatically changes the answer. Tasks with clear yes/no answers or highly specific requirements see less benefit since there’s less room for the model to ramble anyway.
Q: How do you actually identify the “decisive variable” when writing the prompt?
The decisive variable is the one detail that makes your answer completely different. If someone asks “Should I use framework X?”, the decisive variables might be “What’s your team’s experience level?” or “What’s your timeline?” Start by asking yourself: “What missing context would make me give a totally different answer?” That’s usually it, and your prompt should ask for it before generating anything substantial.
Q: Isn’t this just normal follow-up questions, but with extra steps?
Not quite. Normal follow-ups happen *after* the model wastes tokens on a generic response. The Galician Gene forces the model to identify and ask for critical context *first*, before writing anything. It’s a structural shift: ask for scope → deliver specific answer, instead of answer everything → backtrack when the user clarifies.
The “Galician Gene” Directive: Forcing LLMs to ask for context instead of hallucinating (and reducing token waste)
by u/Revenarius in PromptEngineering