Recount: Finish the Stocktake

Recount helps a stockroom operator finish a count, not just transcribe it. Its unit of work is the whole scoped stocktake: what is confirmed, what needs review, and what has not been counted. AssemblyAI streams finalized speech into a revision-aware ledger. Counts stay in a draft until the quantity is explicitly confirmed. Switching items parks unfinished work in Needs review. Neural read-back pauses microphone capture, then listening resumes in the same provider session. The closeout view distinguishes a confirmed zero from an uncounted item. Partial exports remain available, but a complete-stocktake export is blocked while scoped work is unresolved. A transcript-free handoff records status and confirmation method. Explicit Save session and Open session actions let the operator resume unfinished work after reloading. The new public-site demonstration covers four items, not one rehearsed correction. It parks beans, rejects a mismatched oil confirmation, distinguishes zero soap from uncounted rice, restores a saved session, resolves beans on screen, and finishes rice by voice. Two real AssemblyAI sessions produced nine final turns, nine read-backs and four exact exported rows. Three counts were speech-confirmed; one was screen-assisted. Only microphone input was generated. The initial buyer hypothesis is a small-stockroom manager already using spreadsheets. Planned per-location software would add a voice-and-review layer without replacing their stock system. The next pilot compares exact final counts, assistance and time against the existing workflow. This is a four-item prototype, not a customer deployment. Two earlier human recording tests failed and remain documented. Human reliability and productivity are not yet established. Catalogue import and stock-system integrations are next-stage work. Built solo by Joseph Ayanda.