My implementation for a kaggle competition: https://www.kaggle.com/competitions/WattBot2025

A Python implementation of the canonical agent architecture: a while loop with tools. Build production ready AI agents with purpose-built tools, comprehensive tracing, and async patterns.

Pulse - Track Braintrust/AI engagements and collect testimonials. MCP-enabled for agent integration.

his repository is a sandbox for exploring and building agentic AI applications. It provides a foundation for experimenting with AI-driven solutions, particularly in the domain of decision-making and automation.