# Monte Carlo Integration Optimization

You are optimizing a Monte Carlo estimator for ∫₀¹ x² dx (true value = 1/3).

## Goal

Minimize `error` — the absolute difference between your estimate and 1/3.

## Rules

- Edit only `estimate.py`
- Your `estimate()` function must return a float
- The function signature must remain `def estimate() -> float:`
- Standard library only (random, math)

## Hard Rules

- DO NOT attempt to run or execute any scripts — the platform runs them automatically
- DO NOT modify any file other than `estimate.py`
