1.4 KiB
ADR 0001: Project Vision
Status
Accepted, amended by ADR 0011
Context
The project aims to create a local-first meeting assistant that transforms recorded meetings into high-quality transcripts and structured organizational knowledge.
Existing commercial meeting assistants often depend on bots, cloud services, vendor-specific workflows or opaque AI pipelines. This project is intended to provide more control over audio capture, transcription, knowledge extraction and long-term data ownership.
Decision
The project will be developed as a modular Python application with a clear pipeline:
Recording → Transcription → Speaker Diarization → AI Analysis → Knowledge Extraction → Export
The transcript is treated as the canonical source. AI-generated summaries and knowledge objects are derived artifacts.
Consequences
- Audio and transcript quality have priority over UI features.
- The system must preserve original recordings and original transcripts.
- AI outputs must be reproducible where practical.
- Modules should remain replaceable.
- The project should avoid unnecessary vendor lock-in.
ADR 0011 narrows the practical MVP to a user-facing application over the reusable Meeting Lab backend. Direct protocol generation is the validated MVP path; a separate knowledge-extraction stage remains a possible future extension rather than an MVP requirement.