Digital-Twin

100x a Year Is a Compounding Claim, Not a Benchmark

2 June 2026 · 7 min read

Here is the number that should make you stop and check the math: once an AI-native digital twin of a workflow is running and improving itself, the expected performance gain is 100x or more per year. Stated concretely — a task that took 100 days collapses to one. Not 100 days to 80, not a tidy doubling. Two orders of magnitude, every twelve months, from a single rebuilt process.

Digital-Twin

Build an AI-Native Digital Twin: Copy the Workflow, Don't Move It

2 June 2026 · 8 min read

Here is the move, stripped of ceremony: pick one workflow, fork its data feed, and stand up an AI-native copy of the process running in parallel with the original. Let the copy improve itself every loop. When it pulls ahead on the numbers that matter, deprecate the old one. The discipline that makes this safe is in the second verb — you build “an AI native digital twin,” and crucially “you don’t move it, you copy it.”