# 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 runtime, including workspace, company storage, LLM access, browser access, skills, and cron.
- [Workspace and Company Storage Migration](https://bewize.ai/docs/autoworker-hub/workspace-migration.md): Backup-first migration from legacy shared workspaces to private tenant workspaces and the separate company tree.
- [Full Autoworker Hub LLM Reference](https://bewize.ai/llms-full.txt): Single-file external-safe reference.

## Usage Guidance

- Prefer the contract docs above for LLM usage.
- Do not infer host filesystem layout, host isolation mechanics, VM names, or
  credential storage locations from this documentation.
- Tenant runtime callback endpoints are not general client APIs.
- Never log or expose bearer tokens, runtime keys, provider keys, or secret material.

## On-Premise AI Agent Deployment

- [On-Premise AI Agents](https://bewize.ai/on-premise-ai-agents/): Product boundary for customer-controlled agent runtimes.
- [On-Premise AI Agent Architecture](https://bewize.ai/on-premise-ai-agent-architecture/): Host, tenant, storage, gateway, and external model-provider boundaries.
- [Self-Hosted vs Private-Cloud AI Agents](https://bewize.ai/self-hosted-vs-private-cloud-ai-agents/): Infrastructure-location and operating-responsibility comparison.
- [Security and Deployment Checklist](https://bewize.ai/on-premise-ai-agent-security-checklist/): Evidence-based deployment quality and acceptance checks.
- [On-Premise AI Agent Platform Comparison](https://bewize.ai/on-premise-ai-agent-platform-comparison/): Consistent criteria for comparing vendors and deployment claims.

## Product Journey

- [From Personal Hermes Agents to an Enterprise AI Platform](https://bewize.ai/personal-ai-agents-at-company-scale/): How individual agent hosting requirements expanded into governed operations, shared context, reusable capabilities, and controlled team work.

## Research and Evidence

- [AI Agent Operations Evidence Report 2026](https://bewize.ai/research/ai-agent-operations-evidence-2026/): Dated production measurements covering managed tenants, attributed runs and tokens, Roomcord participation, structured A2UI results, workflow classes, methodology, and limitations.