You've been there. You ask Claude to build a landing page, and what comes back is... fine. Generic. Forgettable. The headline doesn't match your brand. The features are wrong. The design feels like every other template on the internet.
This isn't the AI's fault. It's yours.
Most vibe coders skip the planning phase entirely. They hop straight into the chat and say "Hey Gemini, build me a beautiful landing page." And then they're surprised when the AI makes stuff up — inventing features, guessing at copy, choosing random design directions.
There's a name for this: AI hallucination. And there's a simple reason it happens.
The Philosophy That Changes Everything
Read that again. Every question you don't answer in your prompt — who is this for? what's the headline? what's the CTA? — forces the AI to make a decision on your behalf.
And here's the uncomfortable truth: the AI doesn't know your business. It doesn't know your customers. It doesn't know what makes you different from competitors. So when it has to decide, it guesses.
Those guesses are hallucinations.
Why Under-Specified Plans Kill Results
Think about what happens when you say "build me a landing page for my SaaS":
- Who is this for? The AI guesses: "professionals" (too vague)
- What problem does it solve? The AI guesses based on the product name
- What's the headline? The AI picks something generic that sounds "professional"
- What's the value proposition? The AI invents features you might not even have
- What's the design style? The AI defaults to whatever's common
Every single one of these is a potential failure point. You end up with a landing page that speaks to no one in particular, about features that may not exist, in a style that doesn't match your brand.
⚠️ The 99% Mistake
99% of people skip competitive research. They don't know how competitors talk to customers, what their unique selling points are, or how their landing pages are structured. This forces the AI to work in a vacuum — and vacuums get filled with hallucinations.
The 3-Step System to Eliminate Hallucination
The fix is simple: answer every question before you start building. This happens in three phases: Research, Design, Build.
1Research — Stop Shooting in the Dark
Before touching any AI coding tool, you need to understand two things:
Internal research: What do you already know? What's your positioning? What are the core benefits? Who is the ideal customer?
External research: What does the competitive landscape look like? How do successful companies in your space talk to customers?
There are two types of competitors to analyze:
- Direct competitors — Companies that position themselves around the same thing you do. If you're building a YouTube planning tool, other YouTube planning tools are direct competitors.
- Indirect competitors — Companies that solve the same underlying problem in a different way. For a personal trainer, an indirect competitor might be weight loss medication.
Use AI deep research tools (ChatGPT, Gemini, Claude) to analyze competitor landing pages. Look for:
- The language they use to describe their value
- Their unique selling point
- How they structure their pages (hero, features, social proof, pricing, FAQ)
- Who they're speaking to (what specific person with what specific problem)
🎯 Good Landing Pages Speak to Specific People
PostSyncer's headline: "Create once, share everywhere" — speaks to content creators frustrated by platform fragmentation.
Mom Clock's tagline: "Mom said it's time. You don't get to argue" — speaks to people who need external accountability to stop procrastinating.
Both are specific. Neither would exist without research.
2Design — Structure Before You Build
Once you have your research, translate it into specific sections for your landing page:
- Hero: Headline, sub-headline, CTA — all written by you, based on your research
- Social proof: What authority signals will you show?
- Features/benefits: Which 3-5 things matter most to your specific customer?
- How it works: Step-by-step explanation if needed
- Pricing: If applicable
- FAQ: Real questions your customers ask
Use a tool like Google Stitch (free) to create the visual design. Here's a power tip: first generate the overall structure and style, then paste in your specific copy. Doing both at once produces mid-level results.
At this stage, you should also generate competing hypotheses — multiple approaches to positioning. Maybe one version focuses on efficiency, another on quality, another on personalization. Test which resonates before committing to code.
3Build — Let AI Follow Your Blueprint
Now — and only now — do you start building with AI.
If you're using Google Stitch, connect it to your IDE using MCP servers. This gives Claude or Cursor direct access to your designs, which means the build matches your vision exactly.
The command is simple:
Use the stitch MCP and the stitch skills in this project to build out [your-project-name] from our account.
The AI extracts the design system, builds out components, and implements everything from scratch — following your exact specifications rather than making guesses.
✅ The Result
From black screen to fully complete landing page — matching your design exactly. No hallucinations. No guessing. No generic results.
Free Tools to Run This Process
You don't need expensive software:
- Research: ChatGPT, Gemini, or Claude (free tiers available)
- Design: Google Stitch (free)
- Build: AntiGravity (free tier), VS Code with Claude Code, or Cursor
- Connection: Stitch MCP servers (free, connects design to IDE)
The entire research-design-build process costs nothing. The only thing you need to invest is time thinking through your context upfront.
Common Mistakes That Cause Hallucination
Even with this system, there are pitfalls:
- Skipping research entirely — "I know my customer" isn't the same as systematic competitive analysis
- Vague prompts — "Make it look professional" means something different to everyone
- No competitive context — If you don't tell the AI how competitors position themselves, it can't differentiate you
- Combining design and copy in one step — Iterate on structure first, then layer in copy
- No style direction — "Claymorphism" produces wildly different results than "minimal dark mode"
💡 Pro Tip: Use Visual References
You can paste a thumbnail or screenshot into Stitch and say "use this aesthetic." The AI will extract the design DNA and apply it to your project — much more specific than describing a style in words.
Why This Works Beyond Landing Pages
This isn't just about landing pages. The same principle applies to:
- Building apps — Define every feature, every screen, every interaction before coding
- Agency services — Research the market, define positioning, then build your offer
- Content creation — Know your audience, their problems, and your angle before writing
- Product development — Understand customer needs deeply before shipping features
The pattern is universal: the more context you provide, the less the AI needs to guess. And guesses are where hallucinations live.
Ready to Build Like a Pro?
Join Vibe Coding Academy to learn systematic approaches to AI development — from research to shipping. Stop guessing. Start building.
Join the AcademyKey Takeaways
- AI hallucination comes from under-specified plans — every unanswered question becomes a guess
- Research competitors (both direct and indirect) before building anything
- Design structure and copy before touching code
- Use visual design tools like Google Stitch to create a clear blueprint
- Connect design to code with MCP servers for pixel-perfect implementation
- The entire process can be free — you just need to invest time upfront
Great design is an authority signal. Customers trust professional-looking products more. And the only difference between "mid-tier" and "premium" is how much context you give the AI before it starts building.
Stop shooting in the dark. Answer every question. Build with intention.
