Specific constraints and persona-based framing improve the accuracy of financial advice from LLMs. Users should provide detailed income brackets and clear goals to avoid generic responses. This incremental guide emphasizes precision over vague queries. Practitioners can use these prompting techniques to extract more actionable budgeting data from ChatGPT or similar tools.