Establish initial project architecture

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+# ADR 0001: Project Vision
+
+## Status
+
+Accepted
+
+## 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.