Vibe Studio is Apragya AI's canvas for AI-native building. Describe what you want in plain English and the Studio scaffolds it - the agent, the tools, the UI, the guardrails. Under the hood it uses the same governed AI runtime the rest of the platform runs on, so anything you build here inherits the tenant's identity, permissions, audit trail, and AI Credits budget automatically.
What you can build in Vibe Studio
- AI agents - customer-facing chatbots, invoice reviewers, contract summarizers, meeting-note synthesisers, any workflow you'd otherwise wire up in code
- Mini-applications - lightweight tools like KPI dashboards, approval queues, or team-specific views that live inside your tenant
- RPA bots - browser-driven bots that click through third-party UIs when there's no API to integrate against
- Knowledge bots - a Vippy-style Q&A over your own team's documentation, wiki, or ticket history
- Custom workflows - branching pipelines that chain agents, rules, integrations, and human approvals
Why it's different
Most builders show you a canvas and expect you to know what to draw. Vibe Studio inverts that - you describe the outcome, and it proposes the smallest possible shape that gets you there. You can accept the proposal, refine it in conversation, or drop into the canvas to edit anything by hand. The Studio never locks you out of the underlying graph.
Governance built in
- Every build snapshots to an immutable version - you can roll back to any earlier version in one click
- Every run records the AI Credits it consumed, the tools it called, the guardrails it hit - the same observability you get for hand-built agents
- Publishing an artifact requires the tenant's app-publish permission, so business users can prototype freely while shipping stays admin-gated
- Sensitive outputs pause for HITL review when the guardrails you set say a human needs to look
Plans and access
Vibe Studio is available on Business and Enterprise plans; access to individual skills (chat vs code vs RPA) is granular so an admin can enable exactly what the team needs. Trial tenants get a curated subset so evaluators can build something real before deciding on a paid plan.