AI Agent vs LLM Model

An experiment comparing a chat response from Claude.ai with a response from the Fable 5 Model using LangChain Python demonstrates the difference between an LLM model and an AI agent, as reported by a member-only story on July 21, 2026. The experiment used the same prompt but yielded different outputs, highlighting the distinct capabilities of each system.

Member-only story AI Agent vs LLM Model There is some confusion about the difference between an LLM model and an AI agent. To demonstrate their differences, I performed an experiment. First, I got a chat response from claude.ai website on July 21, 2026. It was about 10:30 PM MT. I was using Fable 5 Model. Second, I got another response from Fable 5 Model using LangChain Python program. I used the exact same prompt. I don't have access to real-time or current market data, so I can't tell you today's closing price for Broadcom Inc. AVGO . My knowledge has a training cutoff date, and stock prices change constantly. To get the current closing price, you can check: - Financial websites : Yahoo Finance, Google Finance, Bloomberg, or MarketWatch - Brokerage apps : Fidelity, Schwab, Robinhood, E TRADE, etc. - Quick search : Simply typing "AVGO stock price" into a search engine will show real-time quotes - NASDAQ's official site : Since AVGO trades on the NASDAQ One thing worth noting : Broadcom executed a 10-for-1 stock split in July 2024, so if you're comparing historical prices, be aware that pre-split prices will look roughly 10x higher than post-split prices. Is there anything else about Broadcom—like its business, history, or the VMware acquisition—that I could help you with?