Copy a starting prompt into ChatGPT or another coding assistant, then adapt it to your needs.

These prompts describe the framework and workflows. They are not the source code, a bundled dataset or a promise of an identical result.

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Starting prompt for Money & Land Build a mobile friendly money and property learning tool inspired by Money & Land. Give it clear sections for loans, ownership costs, renting versus buying, state comparisons, learning resources and saved scenarios. Keep the first screen focused on a user's next action and make longer explanations expandable. Use clear sentences with space between them. Create transparent calculators for principal and interest payments, amortization, down payments and total borrowing cost. Let users enter taxes, insurance, maintenance, fees and other assumptions separately. Distinguish amounts the user supplied from verified source values and defaults used only for demonstration. Show the calculation period, currency and units. Separate nominal totals from inflation adjusted comparisons. Do not promise investment returns or present an estimate as a personalized recommendation. For state rules and property information, use dated official sources and link directly to the supporting page. Explain geographic scope and exceptions instead of assuming every rule applies to everyone. Keep historical records, authors' interpretations and current official explanations separate. Credit named reading influences without treating agreement or repeated claims as independent evidence. Keep personal scenarios and reading progress on the device. Provide a clearly labeled backup and restore file that includes user assumptions and progress. Do not require account credentials or upload financial records to a server. Confirm destructive resets and preserve existing saved work during updates. Make the interface and calculators available offline with permitted source summaries and their check dates. State which legal updates, external records and live data need internet access. Check reuse terms before packaging third party material. Test amortization against independent examples, including zero interest, extra payments and incomplete inputs. Check small screens, keyboard use, exports and offline loading. Deliver a useful first version with source notes and an assumptions checklist. To adapt this framework, replace the subject and formulas while preserving transparent inputs, dated sources, local scenarios and backup controls.

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