Ask the AI to explain in simple language and make recommendations. Return JSON {"data":"...","question":"...","actions":"..."}: data — context; question - what exactly to explain in human terms (without terms, with analogy); actions - ask for specific steps with priority and expected effect, rather than general advice.
By default, AI responds in the language of data: percentages, metrics, streamlined. To get something clear and useful, set two restrictions - language and action. Mechanics: the model adjusts the style to your request, so “explain as an expert” and “explain as a friend” give different text from the same numbers. Language lever: ask to explain without terms, through an analogy, “as if I were 12 years old” - this forces the AI to throw out the jargon and find an image, and the analogy found is a sign that the meaning is really understood. Action lever: ask to prioritize steps - what will give the most with less effort - and for each step indicate the expected effect in money or percentage. Insider: demand that the advice be specific and verifiable - “cancel 3 unused subscriptions for 9,000 rubles,” and not “optimize expenses.” Abstract advice is a signal that the AI has not understood your data. A common mistake: asking “what should I do?” without information about what you’ve already tried and what you want, you’ll get a list of platitudes.
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