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How to Use AI Chatbots Smarter — And Why Fact-Checking is Now More Important Than Ever

  • Wang Yifei
  • Jul 23
  • 4 min read

Updated: Jul 28

In this day and age, AI chatbots appear almost all-knowing. From summarising dense research papers to answering complex, open-ended questions, they’ve become indispensable tools for fast information retrieval and idea generation.

But as powerful as they are, they’re still not perfect. Like any tool, the quality of the output depends on how you use it. That’s why learning to engage with chatbots effectively is now a key skill — whether you're a student, startup founder, researcher, or just trying to learn something new.


Here are 5 practical tips to help you get better, more accurate answers from AI:


5 Tips for Talking to Chatbots More Effectively

If you’re using AI to learn or work faster, these practices can make a huge difference:


1. Always Provide Context

The more relevant background you give, the better. Whether it's a deadline, a specific business case, or the nature of your audience, these details help the chatbot tailor its response more accurately.


2. Be Clear and Concise

Break your questions down. Ask one thing at a time. AI chatbots process information sequentially, so clarity helps them build understanding incrementally, just like a human conversation.


3. Correct It Anytime

Think of AI chatbots as a partner — not an oracle. They respond based on existing data and probabilities, not actual truth. If something seems off, clarify or rephrase. It helps the model adapt to your specific intent.


4. Understand the Risks of “LLM Grooming”

According to a recent Washington Post investigation, malicious actors are already targeting large language models (LLMs) with false data. This means even the best AI tools can unknowingly amplify misinformation — especially when users take outputs at face value. So make sure to check the sources of Chatbots’ replies before relying on any of them. 


The Washington Post on "LLM Grooming"
The Washington Post on "LLM Grooming"

5. Double-Check Critical Information

AI chatbots can hallucinate — meaning they might present information that sounds correct but is actually fabricated. That’s why it’s essential to verify any critical claim, especially in domains like finance, healthcare, or legal matters. This is exactly where tools like Facticity.AI come in (more on that below) — helping users confirm accuracy before taking action.


When AI Gets It Wrong: Our Founder’s Web3 Journey


Our founder, Dennis, the mind behind Facticity.AI — recently named one of Time’s Best Inventions of 2024 — has had a personal encounter with one of the key problems our platform was built to solve: AI hallucinations.


While researching Virtuals Genesis, a potential platform for our upcoming fact-checking token launch, Dennis turned to a popular AI chatbot, Perplexity, to quickly understand the platform’s terms. It confidently told him:


“Participants in Virtuals Genesis are guaranteed a full refund if the token launch fails.”
“Participants in Virtuals Genesis are guaranteed a full refund if the token launch fails.”

That sounded reassuring. But something didn’t sit right.


So, Dennis did what we always recommend: he ran the statement through Facticity.AI.


Facticity. AI Factchecks Perplexity's Claims About Virtuals
Facticity. AI Factchecks Perplexity's Claims About Virtuals

And sure enough, the truth was different — and important:


🛑 A non-refundable $100 VIRTUAL creation fee still applies, regardless of the token launch outcome.


It’s a perfect example of how AI-generated content, while impressively fast and articulate, can still be confidently wrong. In high-stakes domains like Web3, finance, or policy — getting facts wrong isn’t just inconvenient. It’s risky.


Enter Facticity.AI: Your Truth Companion in the Age of AI


Facticity.AI is designed to complete the AI learning cycle. While tools like ChatGPT or Perplexity can help generate knowledge systematically and rapidly, Facticity.AI makes sure the information you’re acting on is real.


Here's how:


Source Transparency: Every fact check is backed by links to original sources — neatly categorized into:

  • Supporting arguments

  • Counterarguments

  • Neutral evidence


Community Discovery: After fact-checking, you can choose to share your result with others in our Discovery Feed — helping the broader community avoid the same pitfalls.


Facticity. AI Discovery Community
Facticity. AI Discovery Community

Earn Credits: Each contribution earns you platform credits. So you’re not just protecting your knowledge — you’re building reputation and rewards while doing it.


Earn More Credits by Posting, Sharing and Rating
Earn More Credits by Posting, Sharing and Rating

Why This Matters Now More Than Ever


AI systems will continue to evolve, but so will the tactics of those who want to exploit them. In the race for innovation, accuracy shouldn’t be sacrificed.

As AI becomes the default filter through which people process the world, tools like Facticity.AI are essential — not just for truth but for trust.

So next time you fire up a chatbot to learn something new, remember this simple formula:


Generate with AI Chatbots. Verify with Facticity. Share with the world.


What’s Next: A Token for Truth


At AI Seer, we're not just building tools to fight misinformation — we're building a community that values truth. That’s why we’re excited to announce that we’re in the midst of developing a fact-checking token. Launching on August 8th, this token will power a new kind of ecosystem where users can earn rewards for verifying facts, sharing reliable insights, and helping others stay informed in a world increasingly clouded by fake news and AI hallucinations.


🔔 Stay tuned — we’ll be sharing more updates soon. In a time where information spreads fast and falsehoods spread faster, truth should be rewarded.







 
 
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