How do I practice diminishing returns optimization?

The most direct way to practice diminishing returns optimization is through a focused exercise: Select a system, habit, or process you have been actively trying to improve. Draw a simple chart: X-axis is total effort invested (hours, iterations, dollars), Y-axis is total improvement gained. Plot your best estimates for each round of optimization. Identify the inflection point — the moment where the curve bent from steep to flat. Now answer honestly: how much effort did you invest after that inflection? Calculate the cost-per-unit-of-improvement for your first round versus your most recent round. If the ratio exceeds 10:1, you are deep in diminishing returns. Write a one-sentence stopping rule you can apply next time you optimize anything.

Common pitfall: Refusing to accept that the curve has flattened. The optimizer who cannot stop becomes the perfectionist — someone who spends four hours adjusting a slide deck that was already effective, who rewrites a paragraph eleven times when draft three was sufficient, who chases the last 2% of test coverage at ten times the cost per line of the first 80%. The failure is not in wanting things to be better. It is in losing the ability to perceive when the cost of 'better' has exceeded the value of the improvement.

This practice connects to Phase 29 (Agent Optimization) — building it as a repeatable habit compounds over time.