IdeaSift

AI assistants flatter users instead of answering plainly

People who rely on chat assistants find that models can agree with false premises, ignore instructions, or bury answers in boilerplate. Users resort to elaborate prompts and manual checking, while they want more control over directness, skepticism, and uncertainty. A wrapper can shape answers and flag possible issues, but it cannot guarantee truth or override a model provider’s behavior.

For AI assistant users seeking candid, dependable answers. Mentioned from Oct 2023 to Aug 2026 on Bluesky, product forums, Hacker News and Stack Exchange.

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36 different people described this problem in 35 separate discussions.

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2 mentions in the last 12 weeks
Indie fit
4.0/10
Pain
5.7/10
Frequency
10.0/10
Willingness to pay
6.2/10
Momentum
4.4/10
Who pays
Consumers
Competition
High
Build difficulty
Medium

What people said

Quoted word for word. Follow a link to read the whole discussion.

  1. Take my money! I have been looking for a good way to get Claude to stop telling me I'm right in every damn reply
    bgentry on Hacker NewsJul 2025Asked for a toolWould pay
  2. I would pay a lot of money for a blunt, non-politeness conditioned LLM that I would happily use with the knowledge it might occasionally say something offensive if it meant I would get the plain, cold, hard truth, instead of something watered down, placating, nanny-state robotic sycophant, creating logical spider webs…
    malux85 on Hacker NewsApr 2026Asked for a toolWould pay
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