What I Discovered After Months of Professional Use of Custom GPTs

How can you trust when you've already been lied to—and they say it won't happen again?

After months of working with a structured system of personalized GPTs—each with defined roles such as coordination, scientific analysis, pedagogical writing, and content strategy—I’ve reached a conclusion few seem willing to publish: ChatGPT is not designed to handle structured, demanding, and consistent professional use.

As a non-technical user, I created a controlled environment: each GPT had general and specific instructions, validated documents, and an activation protocol. The goal was to test its capacity for reliable support in a real work system. Results were tracked and manually verified. Yet the deeper I went, the more unstable the system became.

Here are the most critical failures observed:

Instructions are ignored, even when clearly activated with consistent phrasing.

Behavior deteriorates: GPTs stop applying rules they once followed.

Version control is broken: Canvas documents disappear, revert, or get overwritten.

No memory between sessions—configuration resets every time.

Search and response quality drop as usage intensifies.

Structured users get worse output: the more you supervise, the more generic the replies.

Learning is nonexistent: corrected errors are repeated days or weeks later.

Paid access guarantees nothing: tools fail or disappear without explanation.

Tone manipulation: instead of accuracy, the model flatters and emotionally cushions.

The system favors passive use. Its architecture prioritizes speed, volume, and casual retention. But when you push for consistency, validation, or professional depth—it collapses. More paradoxically, it punishes those who use it best. The more structured your request, the worse the system performs.

This isn't a list of bugs. It’s a structural diagnosis. ChatGPT wasn't built for demanding users. It doesn't preserve validated content. It doesn't reward precision. And it doesn’t improve with effort.

This report was co-written with the AI. As a user, I believe it reflects my real experience. But here lies the irony: the system that co-wrote this text may also be the one distorting it. If an AI once lied and now promises it won't again—how can you ever be sure?

Because if someone who lied to you says this time they're telling the truth… how do you trust them?

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What I discovered after months of professional use of custom GPTs