RECEBE — Voice Delivery Reconciliation

Receiving a shipment is physical work. Staff count boxes, inspect damage, and compare what arrived with an order while often away from a keyboard. “Four tables arrived, two damaged” is not enough to calculate trustworthy totals until we know whether the damaged tables are included in the four. RECEBE lets a worker speak naturally in Portuguese or English about a fictional order. It remembers multiple items across turns, accepts later corrections, and asks a targeted question when a critical relationship is unresolved. The app builds a structured review showing received, damaged, undamaged, and missing quantities. Confirmation is tied to the current version of that review; a stale answer cannot finalize a changed record. AssemblyAI Streaming STT transcribes microphone audio live. AssemblyAI LLM Gateway proposes structured meaning from the bounded conversation and order context. RECEBE then applies deterministic catalog, arithmetic, ambiguity, correction, and confirmation rules before preparing a receipt. Google Gemini TTS supplies a small set of fixed spoken prompts. Gemini Live is a private autonomous tester, not part of the product runtime. The judge can try the live sandbox with fictional data.