How to Use Generative AI for Content Without Risking Hallucinations or Compliance Issues

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How to Use Generative AI for Content Without Risking Hallucinations or Compliance Issues

Generative AI tools like ChatGPT, Copilot, and others are quickly becoming productivity powerhouses. But before you go all-in on AI-generated content, it’s critical to know how to use these tools without inviting hallucinations or compliance headaches.

Here are four practical ways to safely and smartly leverage AI for content creation.

1. AI Should Turbocharge Experts, Not Replace Them.

Generative AI is a force multiplier — not a substitute for subject matter expertise.

If you hand over AI tools to someone with no domain knowledge and expect magic, you’ll likely get a mix of fluff, hallucinations, and inaccuracies. Why? Because without a deep understanding of the subject matter, the user can’t properly verify the AI’s output or refine prompts to drive accurate content.

On the other hand, when an expert in a topic, like cybersecurity, uses AI to craft messaging around an emerging phishing threat, the result is both fast and on-target. The expert can guide the tool and quality-check the outcome.

Takeaway: AI helps experts move faster. It doesn’t turn novices into experts.

2. Want to Ensure Accuracy and Brand Alignment? Feed Your Own Content into the AI.

AI tools perform better when you give them structured, high-quality source material. At Snap Tech IT, we regularly convert webinars into blog posts using AI. We start with the transcript — our own words, our own voice — and use that as the basis for blog content.

By starting with your own material, you:

  • Avoid hallucinations caused by random internet sources
  • Reinforce your brand’s point of view
  • Stay aligned with your core message

Pro tip: Use past blogs, internal reports, or transcripts to steer the AI’s responses. You’ll save time and stay accurate.

3. Narrow the Scope of Research

One common mistake with generative AI is letting it roam the wild web unsupervised. That’s how hallucinations happen.

Instead, limit the scope of what the AI can “see.” If you’re building a strategy document, give it:

  • A short list of vetted PDFs
  • Your own internal data and market research
  • Internal white papers
  • Analyst reports
  • Specific blogs you trust

The goal? Constrain the AI to use only verified, reliable content. That way, you avoid misinformation masquerading as truth.

The more niche your industry, the more likely AI will pull garbage data from low-quality blogs. Don’t let it.

4. Use Tools That Cite Their Sources

Transparency matters. Use AI tools that provide references or links to source material.

This makes it easy to:

  • Quality check facts
  • Dive deeper if something seems off
  • Eliminate questionable sources

Tools like Perplexity AI or ChatGPT with custom instructions allow you to verify what you’re reading. Always ask: Where is this coming from?

Sometimes, AI pulls from places like Reddit — where sarcasm or humor gets upvoted. The AI, lacking emotional intelligence, might interpret a joke as a fact. That’s how hallucinations sneak in.

Tip: Look for tools or plugins that provide clickable references. It adds a layer of accountability to your research.

The Bottom Line

Generative AI is powerful — but only in the hands of people who know how to use it wisely.

Pair AI tools with domain experts, your trusted content, and research you can verify. That’s how you get the speed and scale of AI without the risk of hallucinations or compliance missteps.

Curious how you can safely bring AI into your business?

At Snap Tech IT, we help organizations strategically adopt cybersecurity and technology tools, including the preparation and adoption of AI tools.

Let’s talk about how to bring AI into your workflow the right way.

Picture of Ted Hulsy

Ted Hulsy

CRO, Snap Tech IT