In today's digital world, fake news spreads like wildfire, making it harder than ever to trust what we read online. But what if artificial intelligence could help us separate fact from fiction? Researchers are exploring how large language models (LLMs), the brains behind AI chatbots, can be used to detect fake news automatically. A new approach called FactAgent uses LLMs as virtual fact-checkers. Instead of just responding to simple prompts, FactAgent follows a structured process, much like a human expert. It breaks down a news claim into smaller parts, uses its internal knowledge and external tools like search engines to verify each part, and then combines its findings to give a verdict on the news' truthfulness. This approach is more efficient than manual fact-checking and doesn't require training on labeled datasets like traditional AI models. Experiments show FactAgent is effective at spotting fake news across different datasets. Interestingly, the research also found that giving the LLM too much freedom to design its own fact-checking process actually lowered its accuracy. A carefully designed, expert-guided workflow proved to be the most effective. While FactAgent shows promise, there's still room for improvement. Future research could explore incorporating social context, like how news spreads on social media, and analyzing the visual aspects of websites to further enhance fake news detection. The fight against misinformation is ongoing, but AI tools like FactAgent offer a powerful new weapon in the battle for truth.