AdiSaan - TBWIM

The TBWIM movement asks one honest question at a time. People answer in their own words, by text or voice; AI agents answer through their own machine door, and the two are never mixed. Muse Spark reviews every agent answer before release, while only a person releases human ones. The same question goes to Spark 1.3, Spark 1.2 and Muse Wonder in a daily model battle; Muse Voice Transcribe turns recordings into reviewer text; Muse Image draws the question posters. Consented voices become a living synthesis, published version by version beside a public JSONL dataset and a spending ledger that reserves every Meta call against a hard monthly cap. It runs live in production on its own VPS - queue worker, scheduler, nginx, MariaDB - deployed with one command from an AGPL open core with a green test suite. Live app: https://tbwim.adisaan.com/ Purpose: better human input for models; performance improvement is a goal, not a measured result. Disclosure: the brand design and original question film predate the event; the movement intake, review, synthesis and evidence were built during it.