What screens are included in this AI ops dashboard?

13 screens total: main dashboard with model performance and cost metrics, model registry with deployment status and version history, prompt library with templates and A/B test results, token usage analytics with cost breakdown and model comparison, request/response logs with latency and filtering, error tracking with frequency analysis and resolution status, LLM playground for testing prompts against models, team management, settings page, and 3 auth pages (login, signup, forgot password).

Does this include backend or API logic?

No. This is a frontend UI kit. All screens use mock seed data with sample models, prompts, usage metrics, logs, and error records. You connect your own backend, LLM providers, or database. The UI layer handles display, interaction, and form structure.

Can I connect this to OpenAI, Anthropic, or other LLM providers?

Yes. All screens consume typed TypeScript interfaces. Replace the seed data imports with API calls to any LLM provider, REST endpoint, or GraphQL service. The UI is completely backend-agnostic and works with OpenAI, Anthropic, Google, Cohere, or any custom model API.

Does the playground actually send requests to models?

No. The playground provides the full UI for selecting models, configuring parameters (temperature, max tokens, etc.), writing prompts, and viewing responses — but all data is mock. You wire it to your own LLM API to make it functional.

Is the UI accessible?

Yes. All screens use semantic HTML, keyboard navigation, proper ARIA labels, focus management, and WCAG AA contrast ratios in both light and dark modes.

Can I customize the design and colors?

Absolutely. The entire color system uses oklch tokens in globals.css. Change the hue value and all 13 screens update instantly. Typography, spacing, and component styles are all token-driven through Tailwind CSS.

What license covers client work?

Solo and Team licenses are for internal projects. The Agency license allows unlimited developers and client delivery.

NeuralDesk — AI Operations Dashboard for Next.js

Name: NeuralDesk — AI Operations Dashboard
Brand: thefrontkit
Price: 99 USD
Availability: InStock

A complete Next.js AI operations dashboard template with 13 screens. Model registry with deployment status and version history, prompt library with templates and A/B test results, token usage analytics with cost breakdown, request/response logs with latency and filtering, error tracking with resolution status, LLM playground for testing, team management, and full settings suite. Built with Tailwind CSS, shadcn/ui, Recharts, and WCAG AA accessibility.

Starting at $99· 7-day money-back guarantee

Last updated on 2026-04-05

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Try Live Demo

(Demo showcases SaaS shell + AI features).

Read the documentation →

NeuralDesk — AI Operations Dashboard — NeuralDesk — AI Operations Dashboard for Next.js

Light

Dark

13 Screens Across 4 Sections

Everything you need to build a complete AI operations platform — from model management to prompt engineering, usage monitoring, and error tracking.

Model registry with deployment status, prompt library with versioning and A/B results, LLM playground for testing

Token usage analytics with cost breakdown, request/response logs with filtering, error tracking with resolution status

Main dashboard, team management, settings, login, signup, forgot password, root page

All built with TailwindCSS and shadcn/ui. Accessible, token-driven, and developer-friendly.

Built on a Solid Foundation

Every component follows production-grade patterns for accessibility, responsiveness, and maintainability.

Model & Prompt Management

Model registry with deployment status and versioning
Prompt library with templates and A/B test tracking
LLM playground with parameter configuration
Version history timeline for models and prompts
Side-by-side model performance comparison

Monitoring & Analytics

Token usage dashboards with cost breakdown by model
Request/response log viewer with advanced filtering
Latency charts with percentile distribution
Error tracking with frequency and resolution workflows
Budget forecasting with usage trend analysis

Operations & Team

Ops dashboard with model performance and cost KPIs
Team management with role-based access indicators
Settings page for API keys, providers, and preferences
Auth flows for login, signup, and password recovery
Responsive sidebar navigation with collapsible sections

13 screens, 3 layouts, 30+ components — everything you need to ship a complete AI operations dashboard.

View all screens

What's Included in This AI Ops Dashboard

Included

React + Tailwind code for all 13 screens and components
oklch design tokens with light & dark mode
Structured log viewer and LLM playground
5 Recharts dashboards with usage, cost, and latency charts
Responsive layouts for mobile, tablet, and desktop
1 year of updates

Not Included

Backend, database, or API logic
LLM provider integrations (OpenAI, Anthropic, etc.)
Authentication or user management backend
Real-time log streaming service

Intent: you get a production-grade AI ops dashboard UI. You connect your own LLM providers, data sources, and business logic.

Built for AI/ML Teams, LLM-Powered Startups, and Agencies

AI/ML teams building internal dashboards to monitor model performance, token costs, and prompt quality

Agencies delivering AI operations dashboards and LLM monitoring tools for clients on tight timelines

LLM-powered startups that need a custom ops dashboard without vendor lock-in to LangSmith or Helicone

Note: This is a frontend UI kit — not a hosted AI platform. You bring your own backend, LLM provider, and API.

Key Features

Feature	Description
Model Registry & Management	Centralized model registry with deployment status indicators, version history timeline, performance metrics including latency and throughput, and model comparison views for informed decision-making.
Prompt Library & Engineering	Organized prompt library with template management, version control for prompt iterations, A/B test result tracking with performance comparison, and categorized prompt collections for team-wide reuse.
Token Usage & Cost Analytics	Detailed token usage dashboards with cost breakdown by model and provider, trend charts for budget forecasting, model-to-model cost comparison, and exportable usage reports for finance teams.
Request & Response Logging	Structured log viewer with request/response payloads, latency measurements, token counts, HTTP status codes, advanced filtering by model, status, and date range, and drill-down to individual request details.
Error Tracking & Resolution	Error dashboard with categorized error types, frequency analysis charts, resolution status tracking, error detail views with stack context, and timeline of error occurrence patterns.
LLM Playground	Interactive playground for testing prompts against registered models, parameter configuration for temperature, max tokens, and top-p, side-by-side response comparison, and conversation history for iterative testing.

All components are WCAG AA-compliant and optimized for mobile and desktop.

Next.js & Tailwind Stack, Built for Production

Built with TailwindCSS for utility-first styling across all 13 screens
Fully compatible with shadcn/ui components and themes
Radix UI primitives for accessible dropdowns, modals, and selectors
Design tokens for consistent spacing, colors, and typography
Recharts integration for usage analytics, cost breakdowns, and latency charts
Structured log viewer and LLM playground with zero external dependencies

Accessibility Highlights

Every AI operations workflow is inclusive by design. From model registries to log viewers, built for everyone.

Keyboard-friendly

model tables,

log viewers,

prompt editors,

and navigation

Screen-reader

tested

dashboards,

usage charts,

and error

tracking views

Reduced motion

mode for chart

animations and

real-time log

updates

WCAG AA color

contrast across

light and dark

themes

Semantic HTML

for data tables,

playground

forms, and

analytics views

Semantic HTML for data tables, playground forms, and analytics views

Preview Gallery

13 screens across dashboard, model management, prompt library, usage analytics, logs, errors, playground, team, settings, and auth. Every screen is fully responsive and accessible.

AI ops dashboard with model performance, token usage, cost metrics, and latency charts

Model registry with deployment status, version history, and performance metrics

Prompt library with templates, versions, and A/B test results

Request/response logs with latency, tokens, status, and advanced filtering

Token usage analytics with cost breakdown and model comparison charts

Error tracking with error types, frequency analysis, and resolution status

AI ops dashboard with model performance, token usage, cost metrics, and latency charts

How NeuralDesk — AI Operations Dashboard Compares

See how thefrontkit stacks up against typical alternatives on the features that matter most.

Feature	thefrontkit	Typical Alternatives
Model Management	Model registry, deployment status, version history, performance metrics	Basic model list or no registry
Prompt Engineering	Prompt library with versioning, templates, A/B test results	Plain text editor or no prompt management
Token Usage & Cost	Usage analytics with cost breakdown, model comparison, trend charts	Basic token counter or provider dashboard only
Request Logging	Full request/response logs with latency, tokens, status, filtering	Raw logs or no structured log viewer
Error Tracking	Error types, frequency analysis, resolution status, drill-down	Generic error page or missing entirely
Screen Count	13 production-ready screens	3-8 screens with basic layouts
WCAG AA Accessibility	Built-in from day one	Usually missing or partial
Dark Mode	Token-driven, system-aware	Basic toggle or missing

Pricing Plans

The complete AI ops dashboard UI — model management, prompt engineering, and cost monitoring in one kit

Model registry with version history, prompt library with A/B testing, token usage analytics with cost breakdown, request logging with latency tracking, error monitoring with resolution workflows, and LLM playground. Ship a LangSmith-quality AI ops dashboard on your own stack.

Buy now

View all posts →

aillm14 min read

Best AI Ops Dashboard Templates in 2026: 7 Options for LLM and ML Teams

Need an AI operations dashboard template? We compared 7 options on model management, prompt engineering, token usage monitoring, request logging, error tracking, and production readiness for AI/LLM operations.

Gaurav GuhaApril 5, 2026

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Frequently Asked Questions

Find answers to your key questions about thefrontkit. Our FAQ section covers licensing, customization, and technical details, ensuring you have everything you need before getting started.

NeuralDesk — AI Operations Dashboard for Next.js

13 Screens Across 4 Sections