How RetireFree Works
No black boxes. Numbers come from a deterministic engine; AI explains the result after the math is already done.
Updated May 2026
RetireFree now separates calculation from explanation. The engine produces the withdrawal amount, rate, confidence score, assumptions, and warnings. AI is limited to plain-English narration.
The Simple Version
- 1. You enter inputs: current age, savings, monthly expenses, risk tolerance, Social Security, and allocation.
- 2. The engine calculates: time horizon, net portfolio withdrawal need, withdrawal rate, confidence score, warnings, and assumptions.
- 3. AI explains: an AI provider may translate the engine output into readable guidance, but it cannot create or change the numbers.
- 4. You review limitations: every result links to the methodology and shows versioned assumptions when available.
What the Engine Uses
- Inflation assumption: 3.0%
- 60/40 portfolio return range: 3.8%–6.4%
- Default life expectancy: 90
- Social Security full retirement age assumption: 67
Why This Is More Trustworthy Than AI-Only Math
AI text models are good at explaining, summarizing, and personalizing language. They are not the right place to source financial calculations. RetireFree now keeps the numerical layer in testable TypeScript functions, with golden persona tests and version stamps.
Engine version: 2026-05-19
Assumptions version: 2026-05-19
Important Limitations
- This is an educational planning estimate, not individualized financial advice.
- The confidence score is a heuristic band, not a Monte Carlo simulation claim.
- The model does not yet optimize taxes, Roth conversions, RMDs, Medicare premiums, or state-specific rules.
- Future modules will add scenario comparison, Social Security claiming analysis, and Roth conversion windows.
Ready to Try It?
Calculate Your Withdrawal Estimate
Free calculator, no signup required. Run it and look for the assumptions disclosure below your result.
Try Free Calculator →Transparency matters: For the full assumptions, version history, and model boundaries, read the dedicated methodology page.