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About this tool
Split a gift budget across recipients, check the delivery lead time, and build a focused AI prompt for genuinely relevant gift ideas.
The Gift Idea Prompt Builder divides a gift budget into a reserve for tax and shipping, a per-recipient share, and a split between the main gift and a small extra, then writes an AI prompt that keeps the suggestions inside those figures. Give it both dates and it also counts the whole days of lead time left and tells the model which delivery options are still realistic. If the recipient is under three, it adds the US CPSC small-parts rule to the prompt.
Open Gift Idea Prompt Builder on AltFTool — it loads instantly in your browser.
Add your input to the workspace.
Adjust the options until the result looks right.
Copy or download the output and put it to work.
The prompt states the per-person figure and forbids suggestions above it.
Whole days to the occasion map to a shipping tier, from 21+ days comfortable down to same-day.
Under-3 recipients trigger the CPSC 16 CFR 1501 small-parts warning inside the prompt.
There is no fixed rule, so work backwards from what you can comfortably spend in total and divide it by the number of people. Hold back roughly 10-15% for sales tax and shipping first — that reserve is the reason so many gift budgets overrun.
For a stocked item, 10 days is comfortable with standard shipping and 4 days is the point where you should switch to guaranteed express. Anything personalised, engraved or made to order usually needs three weeks or more, because the production time sits before the shipping time.
Under US CPSC rules (16 CFR Part 1501), a toy intended for children under three must not contain a small part that fits entirely inside the small-parts cylinder, roughly 3.2 cm long by 3.1 cm across. Always follow the age label on the specific product, and treat button batteries and high-powered magnets as hazards at any age.
Negative constraints cut more bad suggestions than positive ones add good ones — 'no scented candles, already owns a Kindle' removes a whole class of default answers. The prompt passes those constraints through verbatim and asks the model to question you rather than guess when the brief is thin.