Enter already informed.
Bring approved goals, roles, selected local workspace material, prior decisions, and relevant history into the meeting instead of rebuilding the situation from memory.
Meeting intelligence for consequential conversations
Think clearly while the decision is still live.
AI Collaborator is being built for leaders and experts who cannot afford to reconstruct context after the meeting. Prepare with approved facts, get concise guidance in the moment, and leave with a clear path to action.
Version 0.0.24 technical preview. No payment is being accepted.
Live decision support
Grounded mode
Discussion signal
“Can we commit to the accelerated date?”
SAY
“We can validate that date today, but I will not commit until we reconcile it with the two open delivery dependencies.”
BACKUP
Current plan shows two unresolved dependencies on the critical path.
ASK
Which dependency can the room remove before Friday?
WATCH
An unsupported date may become a recorded customer commitment.
Confidence
Grounded
BeforeChoose approved context
DuringStrengthen the decision
AfterReview the evidence
IndependentNot tied to one meeting vendor
See the experience
A transparent synthetic walkthrough.
Watch a representative prepare, decide, and act flow across the product family. The walkthrough is intentionally labeled and does not expose private implementation details.
Open the product tour
Prepare. Decide. Act.
The transcript is not the highest-value output. The decision is.
Most meeting tools document what already happened. AI Collaborator is designed around the moment when better context, wording, and questions can still improve the outcome.
Get guidance built for pressure.
See concise suggested wording, backup reasoning, questions, cautions, and confidence guidance while the conversation can still change.
Carry the outcome forward.
Review the automatically archived transcript and AI trace. End with a responsive HTML report when synthesis is requested, with a local evidence-first fallback if model synthesis fails.
Product family
Use AI Collaborator where you already work.
The product is being delivered through an IDE extension, an installable application, and optional browser companions. Each surface keeps the accountable person in control.
VS Code extension
Bring live guidance, selected workspace context, answer history, diagnostics, transcript review, and reports into the IDE used for consequential technical work.
For architects, engineers, and technical leadersInstallable application
Use a dedicated AI Collaborator experience without requiring the user to conduct meeting work inside an IDE.
For leaders and experts across business rolesBrowser plugins
Add optional browser-based meeting experiences that work with supported AI Collaborator editions while preserving explicit user control.
Companion surfaces, not a meeting botGrounded coaching
Use the documents already in the work.
Select an authorized local folder, all local workspace roots, or individual supported text and code files. Relevant excerpts accompany coaching with file, line, version, and content-hash citations.
- Basic and Advanced modes
- Source-quotation validation for grounded SAY guidance
- Explicit evidence-only fallback when a quotation fails validation
Reviewable outcomes
Leave with evidence, not a disappearing chat.
The preview automatically checkpoints the captured session into local transcript and AI-trace files. An explicit End session + report action creates a responsive HTML report beside that evidence.
- Session recovery after extension-host interruption
- Decisions, actions, risks, open questions, and next steps
- Traceability and deterministic evidence-confidence indicators
Current limits matter: document grounding supports selected local UTF-8 text and code—not PDF/Office extraction, OCR, automatic private-link ingestion, or semantic search. Captions, redaction, retrieval, and model guidance can be incomplete or wrong.
One intelligence layer, many rooms
Built for meetings where the words have consequences.
The lead user is a leader or expert making commitments, defending a recommendation, navigating risk, or turning ambiguity into a decision.
Clarify the decision.
Keep objectives, tradeoffs, risks, owners, and unresolved questions visible as the room converges.
Challenge assumptions live.
Use requirements, design context, prior decisions, and delivery evidence to strengthen technical conversations.
Make promises responsibly.
Bring account history, objections, constraints, and open commitments forward before a casual statement becomes a promise.
Connect talk to reality.
Compare commitments with dependencies, availability, delivery state, and operational constraints.
Context and action ecosystem
Ground from what matters. Compose the intelligence. Act where work continues.
AI Collaborator is designed as an extensible context-and-action layer, not a closed meeting bot. Connect only the sources, tools, and destinations that are authorized for the environment.
Bring approved truth into the room.
- Selected files, folders, and workspaces
- Prior meetings, correspondence, and commitments
- CRM, ERP, finance, inventory, service, and knowledge systems
- Current architecture, delivery, policy, and operational evidence
AI Collaborator
PrepareDecideAct
Use the right capability for the decision.
- Compatible agents and specialized agent workflows
- Reusable skills and domain-specific instructions
- Approved MCP servers and bounded tools
- Selected models, verification sources, and review gates
Move the outcome into governed work.
- Tasks, tickets, decisions, approvals, and follow-ups
- Opportunities, cases, orders, and delivery records
- Portfolio, finance, inventory, and operating workflows
- Human-reviewed updates to systems of record
Extensibility is configuration-dependent. Compatible integrations require authorized APIs, permissions, policy approval, reliable source data, and tested adapters. This is not a claim that every agent, skill, MCP server, or enterprise connector ships preconfigured.
Product status
Version 0.0.24 is implemented. Commercial release is not yet certified.
Implemented in version 0.0.24
- Live and on-demand coaching with concurrent request handling
- VS Code extension, installable application, and browser companion surfaces
- Explicitly selected local-document grounding with citations
- Confidence, cautions, diagnostics, pinning, and answer history
- Automatic local transcript/trace archives and optional HTML reports
Required before commercial launch
- Cross-machine and live-Copilot acceptance
- Buyer-ready signed installer and update channel
- Self-service licensing and delivery
- Tested onboarding and recovery paths
- Published pricing and purchase terms
A separate ContextIQ platform implementation demonstrates tenant-scoped APIs, durable transcript processing, evidence-backed insights, organizational memory, review, exports, and Azure infrastructure design. It is locally verified but production release remains blocked; it is product direction, not a claim that those cloud capabilities ship in this desktop preview.
Participant controlled
Useful intelligence requires explicit boundaries.
AI Collaborator is designed for approved context and deliberate use. Meeting capture and assistance must comply with participant notice, consent, organizational policy, confidentiality obligations, records rules, and applicable law.
Approved contextGround the session only in sources the user is authorized to use.
Evidence disciplineSeparate grounded facts, inference, and uncertainty instead of manufacturing confidence.
Local evidenceAfter explicit consent, the preview automatically checkpoints transcript and AI-trace evidence to the configured local archive folder.
No silent promiseThe site distinguishes working preview capabilities from the commercial roadmap.
Free early access
Know when the self-service product is ready.
Join the launch list for product milestones, availability, and pricing. This is not a purchase, no card is required, and no sales call is required.