Glue on Pizza? Why Relying on a Single AI Model Could Burn Your Business
How Many ‘R’s Are In Strawberry?
Imagine asking your AI assistant a simple question – “How many ‘r’s are in strawberry?” – and getting the answer two. Or requesting a tip for melty cheese on pizza and being told to use glue.
It sounds absurd. But these are real answers from real, production-level AI tools.
And while that might seem funny on your phone, it stops being funny when the same model is powering your company’s chatbot, customer portal, or internal knowledge base.
When AI Gets It Wrong – at Scale
In April, users of Cursor – an AI coding assistant – were suddenly told they were about to lose access to the product. The reason? A hallucinated policy change that didn’t exist.
The model made it up. Users got angry. Some cancelled their subscriptions.
In May, OpenAI rolled out an update to GPT-4o that made the assistant sound overly flattering and deferential – a change CEO Sam Altman later called “sycophantic-y and annoying”. The update was quickly rolled back, but not before millions of users experienced an AI behaving unpredictably.
These incidents aren’t bugs. They’re reminders of a deeper truth: no single model is reliable in all contexts, all the time.
The Real Risk Isn’t the Mistake – It’s the Lock-In
If your business is built around a single LLM, every flaw, update, or misfire in that model ripples across your operations.
Suddenly:
- Your chatbot apologises for rules that don’t exist.
- Your sales reps get incorrect answers about pricing tiers.
- Your internal tools hallucinate outdated compliance info.
And you can’t do much about it – except wait and hope for a fix.
A Better Way: Model Agnosticism
The smart move? Don’t commit to one model. Build flexibility into your AI strategy from the start.
At Exfluency, we call this AI agnosticism. It means using the right model for the right job – and switching when one stops performing.
Our platform lets you:
- Pick between leading LLMs (like GPT-4, Claude, Mistral, and more)
- Toggle between models based on context or task
- Turn off underperforming models without breaking your workflows
You’re no longer tied to a vendor roadmap or stuck managing hallucinations manually. You’re in control.
Smarter AI Starts with Smarter Choices
AI is here to help you move faster, not babysit bugs. So instead of building workarounds for hallucinations, you get results you can trust – every time.
With Exfluency’s AI-agnostic platform, your answers are:
- Traceable (you can see where the info came from)
- Customisable (you choose the model and training data)
- Safe (no unauthorised access, no model surprises)
That’s not just better AI. That’s a smarter foundation for how your business communicates.
Book a meeting
If you want an AI solution that doesn’t lock you in to a hallucinating language model.