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AI Operations Platform
An AI-powered operations platform designed to help businesses understand their sites, metrics and operational data through intelligent agents.
Overview
An ongoing AI engineering initiative building an operations platform where intelligent agents help teams interpret site health, metrics, and operational signals. The product connects frontend dashboards to Python backends and local or hosted LLMs.
Problem
Operational data lives across dashboards, logs, and ad-hoc reports. Teams spend time switching contexts instead of understanding what matters. The goal was to create a single surface where AI agents could surface insights without adding complexity.
Approach
Designed a modular agent architecture with clear separation between data ingestion, reasoning, and presentation. Prioritized fast iteration on the interface while keeping backend contracts stable and testable.
Architecture
Next.js frontend with TypeScript, FastAPI services for agent orchestration, PostgreSQL for structured data, and Ollama for local LLM inference. Agents communicate through defined tool interfaces with audit-friendly logging.
Result
A working platform prototype with agent-driven operational insights, extensible tool definitions, and a dashboard that scales as new data sources are added. Currently evolving as an active engineering project.
Technology
React · Next.js · TypeScript · Python · FastAPI · PostgreSQL · LLMs · Ollama · MCP