Evidence observed in HKUDS/nanobot, a Productivity project.
This Issue has meaningful public discussion or positive reactions, but evidence still comes from one repository.
Project strength and demand confidence are measured separately.Reporter context: Problem / Motivation I notice that nanobot consumes enormous amount of tokens. Like million just in some 2 hours without any noticable activity for the user. To trace this it would be nice to know when and which call produces which token consumption. Proposed Solution Log the token consumption on any…Excerpted from the public Issue. Read the complete thread before interpreting it.
Recruit: Recruit people who repeat the task every week and can show their current calendar, notes or coordination workaround.
Guardrail: Measure repeated use and time returned across two cycles, not a one-time demo completion.
For [operator], one completed [workflow] consumes [tokens or spend], exceeding [acceptable budget] because [specific repeated step].
You can name one user, one situation and one measurable consequence without proposing a feature.Instrument one representative workflow, remove or cache its highest-cost repeated step, then replay the same task set against the original baseline.
Median cost falls by a written target across at least five comparable runs without reducing completion quality.Measure repeated use and time returned across two cycles, not a one-time demo completion.Information has value only when it changes action. This page turns one public signal into a bounded validation exercise. It is a research aid, not proof of demand, investment advice or a product recommendation.