limit-thinking

What problem does it solve?

Limit thinking helps you avoid planning based on a snapshot by showing what a system or decision converges to when key variables are pushed toward their extremes.

Core Features & Use Cases

• Convergence-focused evaluation: Reframes “what is the value now?” into “what does this approach at scale?” to surface asymptotes, phase transitions, reversals, and divergence.
• Convergence trace workflow: Guides you to incrementally push variables (slightly → midpoint → near-limit → limit) to identify where naive expectations fail.
• Operating point extraction: Turns limit behavior into a practical recommended operating range with early warning signals for inflection, diminishing returns, or collapse.

Use case example: Before rolling out “automation at 100%” for an agent workflow, trace the key variables (automation level, review throughput, and human attention) to see whether performance converges, hits an asymptotic ceiling, or collapses due to atrophy or feedback-loop failures.

Quick Start

Use limit-thinking when you are deciding whether to scale a plan by asking what the outcomes converge to as adoption, automation, time horizon, or cost are pushed toward an extreme.