Retirement Readiness
- Current plan does not fully fund target retirement spending under these assumptions.
Project retirement readiness with inflation-aware targets, coast-FIRE checkpoints, and contribution-gap analysis.
Conservative, baseline, and stretch retirement targets
Projected balance vs inflation-adjusted balance
What the portfolio can fund at selected withdrawal rate
Search intent is strongest around planning precision, transparency, and scenario comparison.
Users typically compare conservative vs optimistic assumptions before committing to a decision.
Scenario speed and mobile readability matter for quick, repeated recalculation workflows.
Human mode is default. You can ignore this section unless you use AI agents or structured automation.
Contract: retirement_savings v1
{
"tool": "retirement_savings",
"current_age": 33,
"retirement_age": 60,
"current_savings": 120000,
"annual_contribution": 18000,
"annual_return_percent": 7,
"annual_inflation_percent": 2.5,
"desired_annual_spending": 65000,
"social_security_annual": 18000,
"withdrawal_rate_percent": 4
} The target is derived from inflation-adjusted spending needs divided by your withdrawal-rate assumption.
Coast FIRE age is the earliest age where you could stop new contributions and still hit your retirement target.
It estimates the annual part-time income needed if the portfolio draw alone cannot cover spending.
Yes. Replace Social Security input with your local pension estimate or leave it at zero.
Yes. Deterministic retirement_savings inputs and outputs are published for agent execution.
Yes. AI Fin Hub tools are free, no-signup browser tools. Inputs stay in your browser unless you choose to share a URL.
Yes. Human mode is the default experience. If you use AI automation, open the optional 'For AI Agents' section for deterministic contracts.
No. Outputs are planning estimates only — not financial, tax, or investment advice.