Coming from a non-technical background, learning Python and AI has been one of the most challenging things I've done.
Over the last few days, I built and deployed my first AI Agent API: Agentic Finance Beast.
What it does:
Answers general questions using Mistral AI
Uses a calculator tool when mathematical reasoning is required
Implements a simple agent workflow for tool selection
Exposes everything through a FastAPI backend
Runs as a publicly accessible cloud API
Tech Stack
Python
FastAPI
Mistral AI
Render
Custom LangGraph-style Agent Architecture
What I Learned
Building an AI application is very different from watching tutorials.
I learned how to:
Design agent workflows
Integrate external LLM APIs
Build tool-calling logic
Handle environment variables securely
Deploy a production-ready API
Live Demo
https://agentic-finance-beast.onrender.com
GitHub Repository
https://github.com/Sumayea104/agentic-finance-beast
This is Day 4 of my journey toward becoming an AI Engineer.
Next stop: RAG systems, LangGraph, and multi-agent financial research systems.