Why does AI give different answers or write bloated essays?
AI models frequently shift styles, suddenly outputting overly verbose essays or incorrect information instead of direct answers. This erratic behavior forces people to constantly rewrite responses, trim bloated code, and manually fix basic mistakes, which makes trusting the model for autonomous tasks impossible.
What people tried
Every workaround mentioned in the threads below. We haven’t tested any of them — and nobody here is claiming they worked.
- 1Using different AI models for different tasks (e.g., Claude for work and Gemini for everyday life)
- 2Trimming down bloated code and fixing errors manually
- 3Using AI purely as a basic template or starting point rather than relying on it content-wise
- 4Continuing to rely on traditional manual troubleshooting and searching
In their words
Unedited, most upvoted first, each linked to the thread it came from.
“Yet, it will always make severely bloated and non-functioning playbooks where I basically have to trim it down 50% and change very easy mistakes it shouldn't have implemented in the first place.”source ↗
“The thought of it running autonomosly is giving me a headache, considering how many things needs manual intervention.”source ↗
“Coupled with the fact that LLMs still shoot out incorrect or blatantly false information.”source ↗
“I feel like Gemini has a split personality—sometimes it's a seasoned reasoning expert, and other times it just takes my words, expands on them, and writes a whole essay back to me.”source ↗
Where this came up
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