Fadil Laoegi@fldevboo

AsterTable is a restaurant reservation project built by NightWatch Factory for the Tablekeeper track. It aims to make a simple promise: when a diner receives a confirmation, the table is genuinely theirs. Availability should reflect real capacity, overlapping bookings should never claim the same table, and a lost network response should not create a duplicate reservation. The project is developed through a four-seat BAND factory. A Coordinator manages stage gates, an Implementer writes the service, a Conformance Reviewer checks the official specification, and an Adversarial Verifier challenges edge cases. Their handoffs, findings, and repairs are recorded in the room so the development process can be inspected, not just the final code. The current Stage 1 implementation is a Go service backed by PostgreSQL 18. Its latest tested revision passes all 120 official Stage 1 harness checks, while an additional reviewer-discovered import validation issue remains open for repair and re-review. A React booking experience is designed but not yet implemented in the final app. We will update this submission as the factory completes and verifies later stages, and we will only claim features supported by the code and room evidence.

Almost every voice agent is human-to-bot. Bisik is an AI that listens to two humans. In Indonesian field lending, the most consequential conversation happens with no record at all: a loan officer sitting in a customer's living room, explaining a product from memory. Regulators require specific disclosures — interest rate, tenor, late penalty, the right to walk away. When one is skipped nobody notices for months, and by then the customer has already signed. Bisik fixes the omission while it still matters. It transcribes both speakers, works out who is talking, and tracks which disclosures the officer actually made. When one is missing it whispers a reminder privately into the officer's earpiece — the customer hears nothing. Forbidden promises like "your loan is guaranteed" are flagged the moment they are spoken. At the end it produces an evidence-backed report: under each obligation, the exact sentence that satisfied it, with a timestamp. How AssemblyAI is used: • Universal Streaming v3 over raw WebSocket, no SDK. PCM16 16kHz from a Web AudioWorklet, buffered into the 50-1000ms frame window. • Streaming diarization with explicit two-voice calibration — a human confirms which voice is the officer before scoring starts. Speaking order is not identity. • SpeakerRevision handling. When diarization later corrects a label, that utterance is re-scored. An utterance that turns out to be the officer's has never been evaluated, so without re-scoring a correction from the model would make the report wrong rather than right. • LLM Gateway for semantic matching, gated behind deterministic evidence checks and a 0.80 confidence floor. Every decision leans one way: a grey checklist item is an inconvenience, a false green one makes the report lie. Ambiguous audio, unknown speakers and third parties are excluded from scoring, never guessed. Raw audio is never stored — only the transcript and evidence. An 11-second guided demo runs in the browser, no microphone needed.

🌎 Online Hackathon | 💻 Online Build: Sept 26 - Oct 5, 2026 A virtual, global hackathon. Build from anywhere in the world. Dark Factory is the official hackathon of WeAreDevelopers World Congress North America, presented by BAND, but you don't need to be in San Jose to take part. For one week, you build a software factory in BAND Desktop: a band of coding agents that plans work, implements it and checks its own results. 🎟️ Bonus for sign-ups: you are eligible for a free ticket to WeAreDevelopers World Congress North America in San Jose (Sep 23–25). If you do go, stop by the BAND booth: a surprise is waiting for you.

🌎 Online Hackathon | 💻 Month-long challenge | Dates: Sep 1–30, 2026 | 🏆 $10,000 Prize Pool ($5k cash + $5k in AAI credits) A month-long online challenge run by lablab.ai together with AssemblyAI, the Voice AI infrastructure company for builders. Every participant builds on AssemblyAI. You can join at any point — registration stays open for the whole build window, so you can start on day one or pick the project up halfway through and still submit. 🌍 Fully online hackathon. Join and build from anywhere in the world.