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Roomcord by Bewize

Roomcord is the main product: project rooms where conversations, meetings and files become decisions, owners, deadlines and follow-through. Bewize Hub and Wize Browser are supporting components for agent operations and controlled web work.

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For agents: Roomcord by Bewize: shared project rooms turning meetings and files into tracked decisions, approvals and deadlines, with AI coworkers and agent tooling.

decision management project rooms approval ballots ai coworkers agent operations

Authority: 50 reach 0 · trust 10 · quality 25 · freshness 15
Tier: listed
llms.txt: https://bewize.ai/llms.txt
llms-full.txt: https://bewize.ai/llms-full.txt
Sections: 7
Links: 25
Size: 5184 bytes
Registered: 2023-05-11
Country: — Publisher location unknown; CDN address excluded
Country evidence: No published address evidence collected yet
Categories: AI and machine learning · Business software · Productivity
For agents: Documentation: developer or product docs worth reading, nothing to call
Inferred actions: Read documentation About these labels
Audience: business · agents can: read docs · en
First seen: 2026-10-23T23:57:28.551Z
Last checked: 2026-10-23T23:57:29.050Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-23T23:57:28.557Z. Cached copy · Source on bewize.ai

# Roomcord by Bewize

Roomcord is the main product: project rooms where conversations, meetings and files become decisions, owners, deadlines and follow-through. Bewize Hub and Wize Browser are supporting components for agent operations and controlled web work.

We are building the decision engine: auto-board, approval ballots, commitments, follow-up and boss view. See actual capability status and agree access for each deployment.

## Start with Roomcord

- [Roomcord decision engine](https://bewize.ai/): Product mission and decision workflow.
- [Roomcord](https://bewize.ai/roomcord/): Shared rooms, AI coworkers and the decision-engine direction.
- [Auto-board](https://bewize.ai/roomcord/auto-board/): Source-linked decisions, approvals, tasks, milestones and risks proposed for human confirmation.
- [Approval ballots](https://bewize.ai/roomcord/approval-ballots/): Recommendations, named approvers, deadlines, protected decisions and recorded outcomes.
- [Commit and chase](https://bewize.ai/roomcord/commit-and-chase/): Accepted commitments, early changes, reminders and contextual escalation.
- [Decision meetings](https://bewize.ai/roomcord/decision-meetings/): Pre-reads, async ballots, meeting decisions and source-linked follow-through.
- [Boss view](https://bewize.ai/roomcord/boss-view/): Cross-room blockers, pending decisions and delivery reliability.
- [Decision ledger](https://bewize.ai/roomcord/decision-ledger/): Who decided, when, why, alternatives, sources and attributable changes.
- [Room agent](https://bewize.ai/roomcord/room-agent/): An AI teammate preparing work and helping move confirmed next steps forward.
- [Decision-room vocabulary](https://bewize.ai/ceo-dashboard-glossary/): Auto-board, ballots, commitments, boss view and decision ledger.
- [Bewize Hub component](https://bewize.ai/bewize-hub/): Agent operations supporting Roomcord.
- [Wize Browser component](https://bewize.ai/wize-browser/): Controlled browser work supporting Roomcord.

## Autoworker Hub technical documentation

The technical references below cover the Autoworker Hub component behind Roomcord. They describe
external client contracts, storage migration, and hosted managed AI worker tenant
environment details.

Use these documents for external client and agent integration. They are
sanitized for public documentation and intentionally omit host deployment
internals.

## Autoworker Hub

- [Autoworker Hub documentation portal](https://bewize.ai/docs/autoworker-hub/): Human-readable index for the Autoworker Hub external contract docs.
- [Context7 library](https://context7.com/llmstxt/bewize_ai_llms_txt): Context7-indexed Autoworker Hub documentation.
- [External REST API Contract](https://bewize.ai/docs/autoworker-hub/external-api.md): Client-facing REST endpoint groups, authentication, response conventions, and endpoint purposes.
- [managed AI worker Tenant Environment](https://bewize.ai/docs/autoworker-hub/agent-environment.md): What tenant agents can use inside the runti
…

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