Solution Blueprint

Build the Control Plane for an AI Product

Make model behaviour, tool execution, knowledge sources, costs and human approvals understandable to operators.

The Direct Answer

An AI product dashboard needs operational transparency: which model ran, which tools it called, what sources it used, how much it cost and where a human approved or corrected the result.

Problems the Interface Must Solve

A chat screen alone does not explain agent runs, failures or cost.
Operators need to distinguish prompts, models, tools and knowledge versions.
High-impact actions require visible human approval and an audit trail.

Core Screens

Agent DirectoryOwnership, status, model, tools and deployment.
Run DetailSteps, tool calls, sources, latency, tokens and errors.
Prompt LibraryVersions, environments, testing and rollback.
Knowledge SourcesDocuments, sync state, freshness and permissions.
EvaluationsDatasets, graders, scores and regression history.
Usage and CostSpend by model, agent, workspace and customer.

A Practical User Workflow

STEP 1
Configure Agent
STEP 2
Connect Tools
STEP 3
Add Knowledge
STEP 4
Test
STEP 5
Approve
STEP 6
Monitor

Component Checklist

AI Chat
Run Timeline
Code Block
Approval Dialog
Data Table
Cost Charts

Agent-Ready Starting Prompt

Paste this into your coding agent as the brief for the first screen.

ai-products.prompt

Create an agent-run detail page showing the input, model, tool calls, cited sources, token usage, cost, latency, errors and human approval history.

Common Questions

Does VuiAdmin provide an AI model?

No. It provides interfaces for AI products and coding-agent guidance for building them. You select and integrate the model provider.

Can I show streaming responses?

Yes. The AI chat patterns cover composition, message history, code and progressive response states. Your API supplies the stream.

How are risky agent actions handled?

Use an explicit approval state, clear action description and audit entry before executing high-impact operations. Enforcement belongs in your backend.

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