Roadmap
Where we are.
Where we're going.
Arbiter is in active development. This page shows what's been built, what's next, and the thinking behind the product.
What Arbiter does today
Everything in Phase 0 and Phase 1 is built and working.
Phase 1
Complete
5
AI analysis tools
443
Tests passing
9+
Research areas explored
Development phases
Foundation
CompleteSolid, deployable codebase
- Real-time transcription + 2 analysis tools
- Backend test suite
- Dockerize backend + frontend
- Error handling & reconnection
- Debounced continuous analysis
Conversation Graph
In progressMaking conversation structure visible in real time
- Anchor analysis to transcript segments
- Inline transcript annotations
- Conversation graph visualization
- Conversation ontology shared schema
- Enhanced LogicFlowAnalyzer for graph edges
- Resizable pane layout
- ConversationStateManager backend
- Live status panel UI
- Graph visual polish — state & edge encoding
- Meeting health indicators
- Context gap detection
- Meeting purpose & effectiveness tracking
- Composable widget system & meeting presets
- Participation meter widget
Pilot-Ready
Shareable, usable in real meetings
- Persistent storage (database)
- Meeting bot integration (Recall.ai)— Join Zoom, Meet, and Teams with a link
- Authentication (invite codes)
- Cloud deployment
- Speaker diarization
- Integration framework + webhook API
- Google Calendar integration
- Slack push integration
- Meeting summarizer tool
- Export (PDF, markdown, JSON)
Product-Market Fit
Learn from pilots, build integrations
- Entity recognition framework— Detect Jira tickets, CRM deals, GitHub PRs in speech
- Linear / Jira integration
- HubSpot CRM integration
- GitHub PR/issue enrichment
- Notion structured export
- Decision → Action pipeline
- Zapier connector app
- Full auth + multi-user
- Organizational knowledge bases
- Business model + pricing
Platform & Scale
Extensible meeting intelligence platform
- Salesforce deep CRM integration
- Microsoft ecosystem (Teams, SharePoint)
- Analysis tool marketplace / SDK
- Multi-language support
- Browser extension for system audio capture
- Mobile companion app
Key decisions
Strategic choices we've made and why.
Too early to narrow. The extensible tool system serves many personas — let real usage guide focus.
Fastest path to pilot. Can migrate to self-hosted later to reduce per-meeting costs.
Multi-client consistency and foundation for an organizational knowledge graph.
Build the framework first. Individual providers are small once the abstraction exists.
Validate the concept with real users before over-building infrastructure.
Research & thinking
Areas we've investigated to inform the product direction.
Conversation graph prior art
IBIS argumentation mapping, Graphiti temporal knowledge graphs, and how they inform our ontology design.
Competitive landscape
Analysis of Otter, Fireflies, Fathom, Gong, Read.ai, Granola, and the gaps in the market.
Integration strategy
Prioritized integration roadmap — EntityRecognizer framework, webhook API, and why HubSpot before Salesforce.
Recall.ai integration spec
Full API spec for meeting bot infrastructure — joining Zoom, Meet, and Teams programmatically.
Privacy & consent framework
How to handle AI analysis of live conversations responsibly — consent models, data handling, regulatory landscape.
Backend-driven conversation state (ADR-003)
Architecture decision: backend is the authority on conversation state. Frontend is a thin render layer.
Meeting purpose & effectiveness
Four-layer design for optional success criteria, real-time tracking, purpose drift detection, and post-meeting scorecards.
Deployment & hosting architecture
Evaluating Fly.io, Railway, and AWS for the pilot deployment. Cost modeling and container orchestration.
Real-time meeting UX surfaces
Competitive analysis of 7 meeting tools, HUD patterns for real-time intelligence, composable widget architecture for different meeting types.
Want to follow along?
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