The board card represents a commitment
It captures title, description, owner, due date, priority, dependencies, acceptance criteria, and team discussion before and around the work.
Boards coordinate commitments. Agent dashboards prove whether autonomous execution reached a safe, verified ending.
Open the comparisonProject-management boards are designed around commitments: tasks, owners, due dates, dependencies, priorities, comments, files, milestones, and team workflows. They help people decide what should happen and coordinate who is responsible.
An AI agent task-state dashboard is designed around execution evidence. It connects the user's request, approval, agent and runtime identity, temporary authority, observed actions, verification, failures, rollback, and closure. It answers whether autonomous work actually reached the state the user intended.
The categories can integrate cleanly. A board card can initiate an agent task, display summarized state, and link to its receipt. The dashboard can return verified outcomes and remediation tasks to the board without forcing project fields to model security and runtime evidence.
| Evaluation area | Project board | Agent task-state dashboard | Edge |
|---|---|---|---|
| Human planning and prioritization | Strong backlogs, milestones, owners, dependencies, and team views. | May consume plans but is not the primary roadmap surface. | Project board |
| Due dates and workload | Mature scheduling, assignment, capacity, reminders, and reporting. | Focuses on current execution and accountable outcomes. | Project board |
| Approval binding | Comments or status changes may signal approval. | Binds consent to exact artifact, item set, destination, consequence, and authority. | Agent dashboard |
| Agent and runtime identity | Usually represents an assignee or automation account. | Identifies the exact agent build and execution environment consuming authority. | Agent dashboard |
| Temporary authority | Permissions are usually workspace- or integration-level. | Tracks scope, credential source, issue time, expiry, destination, and closure. | Agent dashboard |
| Independent outcome verification | Completion often follows assignee or automation status. | Required checks derive complete, partial, failed, unverified, or rolled-back state. | Agent dashboard |
| Team collaboration | Rich comments, mentions, attachments, templates, and cross-project organization. | Collaboration centers on interventions and evidence. | Project board |
| Workflow integration | Can launch agent tasks and receive state summaries. | Can ingest project context and return receipts or remediation work. | Both together |
It captures title, description, owner, due date, priority, dependencies, acceptance criteria, and team discussion before and around the work.
It binds approval, runtime identity, authority, tool actions, checks, outcome, and closure to one autonomous run.
Retries, previews, production releases, and remediation remain linked but preserve separate receipts and evidence.
Partial outcomes can open follow-up cards such as fix DNS without pretending the original release fully succeeded.
Backlogs, priorities, owners, dependencies, estimates, and roadmaps make the project board the stronger planning surface.
Assignments, due dates, reminders, and team communication coordinate human responsibility clearly.
Access-open, partial, failed rollback, unverified, and policy-divergent states require runtime and authority evidence.
The task receipt connects exact inputs, approval, runtime, grant, actions, checks, outcome, and closure.
The board owns intent and team context. The agent dashboard owns execution state and returns verified outcomes, receipts, and remediation.
A project board tracks the commitment to do work. An agent dashboard tracks whether autonomous execution ended safely.
Project board: Stores requirements, owner, due date, source assets, acceptance criteria, and stakeholder discussion.
Agent dashboard: Creates a linked task when execution starts and freezes the artifact or item set requiring approval.
Project board: Can display the approval request and current high-level status.
Agent dashboard: Binds approval to the artifact digest, destination, consequence, and short-lived deployment grant.
Project board: Keeps the release card open and receives a concise partial-state update.
Agent dashboard: Records provider success, domain 404, verification evidence, and closed deployment authority.
Project board: Creates or links a follow-up card with owner and priority.
Agent dashboard: Starts a separate policy-checked infrastructure task rather than reusing the publishing grant.
Board cards, agent tasks, execution attempts, receipts, and remediations remain linked but distinct.
A board comment alone cannot approve changed artifacts or destinations.
Board summaries reflect canonical agent state without becoming the evidence source.
Active sensitive access remains visible outside routine project status.
Cards close only when required user-visible checks and closure conditions pass.
Partial outcomes create specific follow-up work under fresh policy.
Planning says what should happen. Agent task state proves what autonomous execution actually did.
The text-message AI assistant can deliver approvals and receipts while the project board preserves team ownership and the agent dashboard manages execution state.
For a computer-use cache, the agent dashboard can expose sensitive session state that does not belong in a project card, while the board tracks the broader deliverable.
When an AI agent builds a website, Super can coordinate request and approval, connect execution to the project card, verify Render and custom-domain outcomes separately, and return a receipt plus remediation work.
They can represent summary state, but reliable agent operations require source-event correlation, runtime identity, authority lifecycle, independent checks, immutable receipts, and closure rules beyond ordinary card fields.
No. Routine low-risk execution may remain inside the agent system. Create or update board work when human coordination, roadmap impact, remediation, or durable team ownership is required.
The approval can appear in conversation or the board, but the agent system should bind the decision to exact execution context and preserve canonical evidence.
Use acceptance criteria informed by verified agent state. A provider-level success should not close the card when required custom-domain or user-visible checks fail.
The board sends structured intent and context. The agent system returns current state, receipt URL, failed checks, closure, and any bounded remediation recommendation.