Technical leads
Use objectives, task state, diffs, checks, and approvals to understand what automated work is changing across projects.
Concept Preview
Fictional sample dataAI Agent Command Center Overview
Builder · WorkingReviewer · ReadyResearch · PausedQA · Ready
Task queue
- Builder · Assemble KPI module
- Reviewer · Waiting for diff
- QA · Check responsive states
- Alert · Context budget 82%
Activity telemetry
Who This Dashboard Is For
The screen is for humans supervising agent-assisted work, not for removing human responsibility from consequential decisions.
Agent operators
Use queue state, context pressure, tool failures, retries, and handoff points to keep bounded workflows moving.
Reviewers and QA
Use evidence, verification results, unresolved findings, and artifact links to decide whether work can proceed.
KPIs and Data
Prefer metrics that reveal progress, quality, cost, and intervention needs. Counts should be tied to a defined workflow and reporting window.
Task completion state
- What it measures
- The count and share of defined tasks in queued, active, waiting, review, failed, blocked, or complete states.
- Why it belongs
- It shows the shape of the workload and prevents “running” from being mistaken for useful progress.
- How to present it
- Use state counts with age, owner agent, objective, and last transition. Keep failed and blocked work visible until resolved.
Verification pass rate
- What it measures
- Completed automated checks that passed divided by the eligible checks executed in the selected period.
- Why it belongs
- It adds evidence quality to activity volume and shows where outputs repeatedly fail validation.
- How to present it
- Show passed, failed, skipped, and not-run counts. Link to check names and evidence rather than displaying one success percentage.
Human intervention rate
- What it measures
- Work items requiring clarification, approval, correction, or escalation divided by eligible agent runs.
- Why it belongs
- It reveals where instructions, permissions, tools, or task boundaries regularly require a human decision.
- How to present it
- Show the rate and reason categories with sample size. Do not treat intervention as inherently bad when it is an intentional safety gate.
Context and activity use
- What it measures
- Provider-reported or orchestrator-estimated tokens, tool calls, elapsed time, or context utilization for defined runs.
- Why it belongs
- Resource telemetry helps identify unusually expensive, long, or context-heavy tasks before they fail.
- How to present it
- Use trends and thresholds with provider, model, task, and estimate labels. Never present an estimate as authoritative billing data.
Recommended Layout
Move from current operational state to work evidence, then to exceptions and historical patterns.
Agent state strip
Show each agent or role, current objective, state, elapsed time, and last meaningful event in a compact scan line.
Task and approval queue
Give the main area to queued, active, waiting, review, failed, and blocked work with explicit ownership.
Telemetry and checks
Use a secondary panel for context use, tool activity, validation progress, and links to evidence artifacts.
Alerts and audit history
End with failures, policy gates, stale runs, permission requests, state transitions, and human decisions.
Features and Components
The frontend should expose uncertainty and missing evidence rather than manufacturing confidence from activity.
- Agent cards with role, objective, state, elapsed time, context pressure, and last event.
- A task queue that distinguishes waiting for tools, waiting for agents, and waiting for human approval.
- Verification summaries with passed, failed, skipped, and not-run checks plus artifact links.
- Categorized alerts for tool errors, permissions, context pressure, stale work, and policy gates.
- An activity log with timestamps, actor, state transition, affected resource, and evidence reference.
Mistakes to Avoid
Agent dashboards become dangerous when they make activity look like correctness or treat automation as authority.
- Equating busy with productive.Token use, tool calls, and elapsed time need objective, artifact, and verification context.
- Hiding blocked or failed work.Preserve failures, skipped checks, permission denials, and unresolved reviews instead of collapsing them into “complete.”
- Inventing precision.Label estimated cost, context, and progress clearly when provider or orchestrator data is incomplete.
- Automating approval by appearance.A green UI state does not replace code review, security analysis, tests, policy checks, or human accountability.
VibeCodePack Missions Used
These exact feature titles were verified in the inspected VibeCodePack source files. The mapping recommends a frontend mission combination; it does not expose the private instructions inside those files.
Server Monitoring Dashboard with Live Status Indicators
Provides the inspected status-monitoring visual pattern; a real agent event stream must be supplied separately.
Minimalist KPI Card Grid with Trend Indicators
Structures task, check, intervention, and activity summaries.
User Activity Log with Filterable Event Types
Maps to an auditable sequence of agent, tool, reviewer, and system events.
User Notification Center with Categorized Alerts
Organizes failures, approvals, policy gates, context pressure, and stale-run notices.
Interactive Error Message Banner with Retry Action
Provides explicit tool or orchestration failure states without implying automatic recovery.
Interactive Data Table with Sorting and Pagination
Supports task, run, check, artifact, and incident inventories.
Sidebar with Integrated User Dashboard Widgets
Organizes projects, agents, queues, checks, alerts, and compact telemetry.
Interactive Slide-Over Panel for Detailed Information
Shows run evidence, logs, diffs, and decisions without losing queue context.
Build This Dashboard With Claude Code
Define agent roles, task states, evidence requirements, safety gates, approval authority, event sources, and failure semantics before building. Give Claude Code separate missions for state cards, the task queue, verification summaries, telemetry, alerts, logs, and detail panels, then test missing, stale, failed, and permission-denied states.
VibeCodePack can structure the frontend workflow. It does not provide an agent orchestrator, model credentials, token stream, tool sandbox, policy engine, billing data, code review, or guaranteed safe output.
VibeCodePack supports structured frontend dashboard and UI workflows. Your project must separately provide and validate production databases, APIs, authentication, payments, permissions, live data, and backend services.
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