Most of the time, your AI isn’t giving you the best answer; it is giving you the most impressive one.
We often assume that a long, detailed AI response is the most accurate one, but that is a dangerous misconception. I recently read a thread where a Reddit user named AdCold1610 exposed a massive inefficiency in how we prompt. The author was debugging a messy nested loop and received a forty-line, complex solution from ChatGPT. Frustrated, the user simply typed, “you’re overthinking this.” The result was immediate: the AI apologized and reduced the code to three highly efficient lines.
The “Impress Me” Bias 💡
The post’s author identifies a phenomenon where AI models operate in a “show off mode” by default. When you ask a technical question, the model’s training biases it toward comprehensive, encyclopedic answers rather than practical ones. For instance, when the contributor asked about optimizing a database query, the AI initially suggested rewriting the schema and installing Redis. However, applying the “overthinking” prompt forced the AI to reveal the actual solution: just adding an index to one column. This proves that the model knows the simple answer but chooses to hide it behind a wall of complexity to demonstrate capability.
Practical Insights
📌 The Senior Dev Syndrome
The original poster draws a brilliant comparison between ChatGPT and an enthusiastic senior developer. If you ask a senior dev to fix a typo, they might launch into a lecture on distributed systems architecture. Similarly, the AI defaults to the most robust, heavy-duty solution even when a lightweight fix is needed. The author emphasizes that this is dangerous because users often implement these over-engineered solutions, assuming the AI knows best, when a simpler method would have saved hours of maintenance.
✅ Recursive Simplification
One of the most powerful takeaways from this innovator is that you can use this technique recursively. If the revised answer is still too dense, the author suggests replying with “Still overthinking” or “Simpler.” This acts as a continuous filter, stripping away layers of unnecessary logic until you reach the absolute core of the problem. You are effectively coaching the tool to abandon its “performance” and focus entirely on utility.
💡 The Vocabulary of Boring Solutions
The Reddit user tested various phrases to see which ones reliably triggered this “logic mode.” Beyond just pointing out overthinking, the expert found high success rates with prompts like “Occam’s razor this” and “What’s the boring solution?” explicitly. By asking for the “boring” way, you signal to the AI that you value maintainability and pragmatism over cleverness or theoretical perfection.
Make sure to check out the original post by AdCold1610 for the full code examples!
💡 FAQ & Troubleshooting
Why does the AI often provide overly complex code initially?
The AI frequently defaults to an “impressive” answer rather than the most efficient one. It tends to prioritize comprehensive, architectural changes—such as writing 40 lines of code with helper functions or suggesting a database schema rewrite—when a simple direct fix (like using a data Set or adding an SQL index) is actually the superior solution.
What specific prompts force the AI to simplify its output?
To switch the AI from “show off mode” to practical problem-solving, the most effective command is simply: “You’re overthinking this.” If you prefer variation, other proven prompts include “Simpler,” “That’s too clever,” “What’s the boring solution?”, and “Occam’s razor this.”
Can this technique be used iteratively?
Yes. You can use this recursively to refine results. If the AI’s second attempt is still too complex, replying with “Still overthinking” will continue to strip away unnecessary complexity until it yields the most fundamental, elegant solution.
I told ChatGPT “you’re overthinking this” and it gave me the simplest, most elegant solution I’ve ever seen
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