Reconcile Meeting Assistant architecture with Meeting Lab

ROADMAP.md

@@ -1,112 +1,50 @@
 # Roadmap
 
-## Phase 1: Minimum Viable Processing Pipeline
+## Next Milestone: Meeting Assistant MVP GUI
 
-- Import existing WAV recordings
-- Validate recording metadata
-- Create meeting directory
-- Create canonical transcript
-- Save transcript as JSON
-- Export transcript as Markdown
-- Archive confirmed recordings as FLAC
+Build the user-facing application over the validated Meeting Lab Python API.
 
----
+- select an existing audio file
+- create and edit Meeting Context through structured fields
+- add and manage participants
+- optionally map `SPEAKER_XX` labels to participants with explicit confirmation
+- configure and start `run_mvp_meeting(...)`
+- display stage-based status and real progress when available
+- handle completed and failed runs clearly
+- display and edit the detailed generated protocol
+- export the reviewed protocol
 
-## Phase 2
+The milestone must keep diarization, GPU acceleration and fixed-duration audio
+chunking optional. It must not launch the Meeting Lab CLI as a subprocess or
+duplicate Meeting Lab processing logic.
 
-Speaker diarization
+## Following Milestone: Distribution Protocol
 
-- Speaker detection
-- Speaker naming
-- Timeline view
+- derive or generate a shorter participant-facing version
+- allow review and editing before distribution
+- export both detailed and short versions
+- retain provenance linking each version to its transcript, configuration,
+  prompt and model where practical
 
----
+## Later Product Work
 
-## Phase 3
+- transcript viewing and correction workflows
+- recording and artifact lifecycle management
+- search, tags, projects and meeting history
+- richer Markdown, PDF and DOCX export
+- optional SQLite indexing and full-text search
+- integrated recording controls
+- calendar and conferencing integrations
+- semantic search and organizational knowledge features
 
-Meeting intelligence
-
-- Executive Summary
-- Action Items
-- Decisions
-- Risks
-- Open Questions
-
----
-
-## Phase 4
-
-Knowledge system
-
-- SQLite database
-- Full text search
-- Semantic search
-- Tags
-- Projects
-- Participants
-
----
-
-## Phase 5
-
-Desktop application
-
-- Recording UI
-- Transcript viewer
-- Search
-- Export
-
----
-
-## Phase 6
-
-Integrations
-
-- Outlook
-- Teams
-- Google Calendar
-- Local LLM
-- OpenAI
-- Ollama
-
----
-
-## Future Phase: Integrated Recording
-
-- Capture microphone audio
-
-- Capture system audio
-
-- Support separate audio channels
-
-- Provide recording controls in the desktop application
-
-- Replace or complement the external OBS workflow
-
-- Live transcription
-
-- Real-time summaries
-
-- Company glossary
-
-- Custom vocabulary
-
-- Automatic project detection
-
-- Meeting templates
-
-- Voice identification
-
-- Audio cleanup
+## Research and Optional Extensions
 
+- live transcription and real-time summaries
+- company glossary and custom vocabulary
+- voice identification with explicit consent and confirmation
+- audio cleanup
 - OCR for shared screens
-
-- Timeline with bookmarks
-
-- RAG knowledge integration
-
-- Multi-language meetings
-
-- Translation
-
-- Automatic follow-up generation
+- RAG and knowledge-graph integration
+- multi-language meetings and translation
+- dual-model or evidence pipelines only if later validation demonstrates a
+  material reliability benefit