In today’s world, gathering data and information from AI is as fast as clicking your fingers. And, what’s more, AI tools seem incredibly confident that their output is accurate… which is exactly why it needs checking!
While AI tools can dramatically improve speed and productivity, research continues to show that AI reliability isn’t as solid as it would first appear. In fact, a recent study found that AI assistants misrepresented news content in 45% of cases. However, that doesn’t mean you shouldn’t avoid using AI. Rather, it means you should use it well.
The LEAP Model gives you a simple, structured way to slow down and check AI reliability by applying critical thinking to any AI output. It contains four focused prompts you can copy, paste and use immediately to sense-check what you’ve been given and stay in charge of the thinking – so AI supports your judgement, rather than replacing it.
What’s inside?
- The LEAP framework explained – A simple breakdown of Logic, Evidence, Attribution and Perspective.
- Copy-and-paste prompts – Ready-to-use questions you can drop straight into your AI tool to test an output.
- A final “risk scan” question – One last check to surface potential problems before you share or act.
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