# ADR 0001: Project Vision

## Status

Accepted, amended by [ADR 0011](0011-use-meeting-lab-mvp-backend.md)

## 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.