32 lines
1.1 KiB
Markdown
32 lines
1.1 KiB
Markdown
# ADR 0001: Project Vision
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## Status
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Accepted
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## Context
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The project aims to create a local-first meeting assistant that transforms recorded meetings into high-quality transcripts and structured organizational knowledge.
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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.
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## Decision
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The project will be developed as a modular Python application with a clear pipeline:
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Recording
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→ Transcription
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→ Speaker Diarization
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→ AI Analysis
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→ Knowledge Extraction
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→ Export
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The transcript is treated as the canonical source. AI-generated summaries and knowledge objects are derived artifacts.
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## Consequences
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- Audio and transcript quality have priority over UI features.
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- The system must preserve original recordings and original transcripts.
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- AI outputs must be reproducible where practical.
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- Modules should remain replaceable.
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- The project should avoid unnecessary vendor lock-in. |