AI trap: treating polished as correct.
Before AI, a polished report was a sign someone put in extra effort. Now it can be a sign they skipped it.
Before AI, a polished report was a sign someone put in extra effort. Now it can be a sign they skipped it.
One of my learners told me her department head handed her a financial report. Clean layout, well structured, looked polished. She checked the numbers just in case. A few were wrong.
In a separate case, a colleague in sales ops sent her a summary of a recent campaign. Same story. Polished, confident, and the numbers were off again.
I wrote earlier about why you should stop using AI as a calculator. Instead, use AI as an engineer who builds the calculator. An LLM guesstimates numbers by design, so you ask it to write a script to do the math, not to do the math itself.
Read the earlier post: Stop using AI as a calculator
But a commenter on that post pointed out a bigger problem, and I think it is worth writing about.
We usually read polished as correct. We read polished as good.
That instinct used to be safe. But it could be a mistake now. Here is what changed.
Before AI, you did the real work first. You got the numbers right, checked the logic, made sure it held up. By the time all of that was done, you barely had time left to make it look nice. So a report that looked polished usually meant a lot of extra effort had already gone in underneath. Polish was a sign of effort. Effort was a sign of correctness.
That chain is now broken.
With AI, anyone can produce a beautiful, well-structured, confident-sounding document in minutes. Polish became very easy. Ensuring correctness is still hard, especially when AI is prone to hallucination. The two used to come together. Now they have nothing to do with each other.
So the old instinct, “this looks well prepared, I will trust it,” is the one that catches you now.
Next time a clean, well-formatted report lands on your desk, do not let the polish vouch for the numbers. A tidy layout tells you nothing about whether the math is right. Check the math, trace the source, read the substance underneath.
And if you are the one sending the report, the polish was never the hard part. It still is not. Being right is.
—
If you are a business professional who wants to learn the foundations of using AI the right way, I run a Foundations of Claude Code workshop. The next two cohorts are on 2 July and 16 July.
Details: https://lnkd.in/e9r8kScw
#AI #GenAI #ArtificialIntelligence #ClaudeCode #FutureOfWork
Enjoyed this? Subscribe for more.
Practical insights on AI, growth, and independent learning. No spam.
More in AI Agents
For the curious mind, this is how much ChatGPT contributed to the organic traffic of one of our...
Join us at https://lu.ma/0djxrxcp to learn how AI + SEO presents new opportunities to acquire more leads for your business.
Klarna’s latest move to bring back some humans for customer experience after their ambitious AI...
It’s progress.
The most practical use case of a browser agent so far.
"Help me to complete this assignment"
Can DeepSeek R1 Run on a Normal Laptop for Free?
TL;DR
The Worst Job Displacement of Software Engineers Is Yet to Come.
This is not another fear mongering post.
Can LLMs like ChatGPT do reasoning? It failed my casual tests in under 30 minutes.
… more
For the curious mind, this is how much ChatGPT contributed to the organic traffic of one of our...
Join us at https://lu.ma/0djxrxcp to learn how AI + SEO presents new opportunities to acquire more leads for your business.
Can DeepSeek R1 Run on a Normal Laptop for Free?
TL;DR
The Worst Job Displacement of Software Engineers Is Yet to Come.
This is not another fear mongering post.
Klarna’s latest move to bring back some humans for customer experience after their ambitious AI...
It’s progress.
The most practical use case of a browser agent so far.
"Help me to complete this assignment"
Can LLMs like ChatGPT do reasoning? It failed my casual tests in under 30 minutes.
… more