63 lines
2.4 KiB
Markdown
63 lines
2.4 KiB
Markdown
# Roadmap
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## Next Milestone: Meeting Assistant MVP GUI
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Build the user-facing application over the validated Meeting Lab Python API.
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- select an existing audio file
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- reliably import WAV, FLAC and M4A through canonical FFmpeg preparation
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- offer optional audio normalization, enabled by default
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- create and edit Meeting Context through structured fields
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- add and manage present and `mentioned_only` people
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- optionally map `SPEAKER_XX` labels to participants with explicit confirmation
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- configure and start `run_mvp_meeting(...)`
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- display stage-based status and real progress when available
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- handle completed and failed runs clearly
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- display and edit the detailed generated protocol
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- export the reviewed protocol
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The milestone must keep diarization, GPU acceleration and fixed-duration audio
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chunking optional. It must not launch the Meeting Lab CLI as a subprocess or
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duplicate Meeting Lab processing logic.
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Complete real-meeting validation of this vertical slice before expanding the
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post-run workflow.
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## Following Milestone: Distribution Protocol
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- derive or generate a shorter participant-facing version
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- allow review and editing before distribution
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- export both detailed and short versions
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- retain provenance linking each version to its transcript, configuration,
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prompt and model where practical
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## Later Product Work
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- speaker/name review with explicit human confirmation
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- deterministic correction of suitable derived artifacts, beginning with a
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simple search-and-replace path
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- protocol-only regeneration from existing transcription and diarization plus
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corrected mappings and Meeting Context
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- transcript viewing and broader correction workflows
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- recording and artifact lifecycle management
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- search, tags, projects and meeting history
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- richer Markdown, PDF and DOCX export
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- optional SQLite indexing and full-text search
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- integrated recording controls
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- calendar and conferencing integrations
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- semantic search and organizational knowledge features
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## Research and Optional Extensions
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- live transcription and real-time summaries
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- company glossary and custom vocabulary
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- voice identification with explicit consent and confirmation
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- automatic name and speaker suggestions only as non-authoritative candidates
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for later human review
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- audio cleanup
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- OCR for shared screens
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- RAG and knowledge-graph integration
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- multi-language meetings and translation
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- dual-model or evidence pipelines only if later validation demonstrates a
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material reliability benefit
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