Setting Up My First Agentic AI Experiment

I’ve been experimenting with local LLMs and lightweight agent frameworks to understand orchestration patterns without relying on hosted APIs. This post is a quick log of the setup.

Stack

• Ollama for running models locally
• A simple Python orchestration loop
• Basic tool calling for file and web actions

What I learned

Running agents locally forces you to think carefully about latency, context window management, and how much orchestration logic actually needs to live in the “control plane” versus the model itself. It’s a good way to build intuition before wiring the same patterns into production-grade platforms.