Dashboards are the hardest thing to generate well. They're dense, stateful, and every one is slightly different. We tested the major AI builders on an identical brief: admin dashboard for a SaaS product with stats cards, a filterable user table, a chart, and a detail modal. Here's what actually works.
The brief we gave every tool
Build an admin dashboard for a fictional SaaS called LaunchDeck. Requirements:
- Sidebar navigation with five sections
- Header with search, notifications, and user menu
- Six KPI cards at the top (revenue, users, churn, etc.)
- A revenue chart (weekly, last 12 weeks)
- A users table with search, filter, pagination, and a clickable row that opens a detail modal
- Responsive down to mobile
Every tool got the same prompt, the same follow-up iterations, and the same 30-minute time box.
The results
InBuild
Produced a complete dashboard with all the requested elements in one prompt. The table used a standard pattern (shadcn DataTable + TanStack Table), the chart used Recharts, and the sidebar collapsed properly on mobile. Detail modal worked on row click. Export was clean Next.js with no proprietary wrappers. Follow-up prompts like "add a status filter to the table" patched the existing tree instead of regenerating the whole page.
v0 by Vercel
Excellent component-level output. The dashboard layout, table, and chart were individually top-tier — often better than InBuild at the component level because v0 is trained on shadcn. But v0 doesn't generate whole apps, so we had to stitch the pieces together manually. For an experienced developer, 30 minutes is plenty. For someone without a Next.js background, v0 alone isn't enough.
Bolt.new
Got a working dashboard in Vite + React. Good functional output, but the migration cost to Next.js is real if that's your target. Chart rendered fine. The table worked, but pagination required a follow-up prompt. Responsive behavior needed explicit prompting.
Lovable
Fast first draft, hit most of the visual requirements. The table was there but without real filtering logic — the filter input rendered but didn't filter. Detail modal worked. Export friction is the usual caveat: fine while you stay in Lovable, painful when you want to self-host.
Replit Agent
The standout for full-stack. Built the dashboard and a backend with fake user data automatically. The table was wired to a real database by the time the prompt finished. Overkill if you just want UI; exactly right if you want a working prototype including data.
Cursor Composer
Not tested because it's not an app builder. Worth mentioning: if you're a developer with an existing Next.js project, Cursor is the most productive way to build a dashboard, period. You just have to start with a repo.
What actually matters in dashboard generation
The demo-to-production gap is huge with dashboards. Three things separate the winners:
- Empty and loading states. Any tool can render a populated dashboard. Render the empty state (no users yet) and the loading skeleton and you'll see which tools thought about this.
- Real interactivity. A filter input that exists but doesn't filter is worse than no filter at all. Ask the tool for a filter, then test it before you accept the output.
- Responsive density. Dashboards break first on mobile. Tools that emit
md:andlg:breakpoints by default handle this; tools that don't make you prompt for it iteratively.
Our pick
For a complete dashboard in one tool: InBuild. Clean Next.js output, real table logic, consistent patterns across pages, and the export actually works.
For a developer who wants AI acceleration inside an existing codebase: v0 + Cursor. Different workflow, same productivity gain.
For a prototype that includes backend and data: Replit Agent. Nothing else gets you from prompt to running full-stack dashboard that fast.