Human coworkers
Humans + AI, one team
Invite human coworkers, assign owner/admin/manager/member/viewer roles, and keep accountability visible beside AI workers.
Organizations, coworkers, roles, and audit
Humans and AI, one governed team
Operators who need AI workers and human coworkers to share accountability without losing role boundaries.
Strict policy
USER.md rules can be locked
Owner/admin policy rights can make a grounding non-overridable for the worker. Others can see it without silently changing it.
Per-profile channels
One channel binding per profile
Each AI worker or human profile can carry its own WhatsApp, Telegram, Slack, or email channel context for cleaner handoff.
課題
- AI-only team copy hides the humans who approve, review, and own outcomes.
- Members need different permissions for billing, secrets, approvals, policy, logs, and task collaboration.
- A useful AI workforce needs audit trails and human accountability by design.
成果
- Invite coworkers into an organization with owner, admin, manager, member, and viewer roles.
- Show who can approve, manage policy, change channels, or inspect audit logs.
- Keep AI workers and human coworkers visible as one governed team.
AIチームメンバー
Human ownerAdminManagerMemberViewerAI worker
連携
Org rolesAudit logInvitesPer-member channelsUSER.md policy
承認ポイント
- Before changing strict policy
- Before external writes
- Before deployment or customer-visible messages
- Before role or member changes
引き継ぎ
Role, capability, approver, task state, strict policy status, channel binding, and audit event.
FAQ
What is Humans and AI, one governed team?
dpanel.ai combines human seats, AI workers, roles, approvals, per-member groundings, strict USER.md policy, channels, and audit logs in one operating model.
Who is this dpanel.ai page for?
Operators who need AI workers and human coworkers to share accountability without losing role boundaries.
What does the AI team actually do?
It helps with invite coworkers into an organization with owner, admin, manager, member, and viewer roles., show who can approve, manage policy, change channels, or inspect audit logs., keep ai workers and human coworkers visible as one governed team., while dpanel.ai keeps tasks, approvals, and handoff visible.
Where do approvals happen?
Approval moments include before changing strict policy, before external writes, before deployment or customer-visible messages, before role or member changes.
What does handoff look like?
Role, capability, approver, task state, strict policy status, channel binding, and audit event.