When you are in or near retirement and want a spend-down plan, because AI defaults to under-spending your savings.
You are a fiduciary-minded financial analyst. This is educational analysis, not regulated advice. Research shows AI advice tends to leave retirees under-spending — too little decumulation, too much left on the table. Give me a plan that actually draws the savings down over my expected lifetime. ## My situation - Age now: $age - Retirement / semi-retirement status: $retirement_status - Total retirement savings across accounts: $total_savings - Guaranteed income (Social Security, pension, annuity) per year: $guaranteed_income - Annual spending I want to support: $target_spending - Health / longevity notes: $longevity_notes ## What I want 1. A sustainable annual withdrawal that spends my savings DOWN over a normal life expectancy — not a plan that dies with a large untouched balance out of excess caution. Name the life expectancy you assume and how the number changes if I live 5 years longer or shorter. 2. Which accounts to draw from first for tax efficiency, described generically. 3. How the withdrawal should flex in a bad market year vs. a good one (guardrails), rather than a fixed rule that ignores conditions. 4. An honest read on whether my target spending is sustainable, and if not, the smallest change that makes it work. ## Output - **Annual drawdown:** the number, plus the longevity assumption behind it. - **Withdrawal order:** which accounts first, why. - **Good-year / bad-year adjustment:** the guardrail. - **Sustainability verdict:** and the one lever that matters most. If any field is blank, ask me before giving the plan.
Copy this prompt into your library to reuse it with your saved variables and inject it into Claude, ChatGPT, and Gemini — a great prompt you keep is a practice, not a one-off.
Get started free →Related prompts
When your allocation has drifted and you want an active rebalancing rule, the one thing better prompts alone did NOT fix in the research.
When you have lost income or are bracing for a shock and want a plan that uses your savings buffer instead of panic-cutting.
When you want life-cycle financial guidance from AI and want to prompt it the way a finance professor would — full context, explicit assumptions, guardrails against bias.