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Building an Agentic Personal Trainer - Part 7: LLM Provider Abstraction
Building Bart Gottschalk 12/12/25 Building Bart Gottschalk 12/12/25

Building an Agentic Personal Trainer - Part 7: LLM Provider Abstraction

Running AI locally has no API costs—just electricity. Cloud providers charge per token. I wanted to switch between local and cloud models without rewriting my agent code.

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Building an MCP Agentic Stock Trading System - Part 3: The Agentic Loop
Learning Bart Gottschalk 11/26/25 Learning Bart Gottschalk 11/26/25

Building an MCP Agentic Stock Trading System - Part 3: The Agentic Loop

The agentic loop is where LLMs become active problem-solvers instead of passive responders. The LLM doesn't just answer once—it iteratively calls tools, analyzes results, and decides what to check next. My trading agent uses this to analyze stocks: fetch data, calculate indicators, check trends, then make a decision.

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