StudioX AI

The challenge

Enterprises needed AI that could reliably execute multi-step operational tasks — not just chat. That meant agents that plan, call tools, retrieve the right context, and stay observable and safe in production.

Architecture & approach

LLM orchestration layer over a RAG pipeline (vector search on internal knowledge), an agent runtime with tool-calling, and a Next.js/FastAPI application layer. Guardrails, evaluation, and tracing wrap the agent loop for production reliability.

Screenshots

Results

• Autonomous agents that plan, reason, and act across real operational workflows
• RAG grounding on enterprise knowledge for accurate, cited answers
• End-to-end intelligent app: from model orchestration to UI