Grammarly's LLM-driven messages erode user trust
Problem
Recent users report that Grammarly sends bizarre messages after subscription cancellation and that recent LLM updates randomly replace entire sentences, causing a loss of grammatical reliability, perceived bias, and serious doubts about the product's trustworthiness.
Pain points
- Random LLM replacements cause sentence distortion and bias
- Erosion of trust in the product's reliability
- Full-page warnings that degrade the user experience
- Concerns about privacy and potential data exfiltration
Questions to verify
- Does Grammarly actually send bizarre messages after subscription cancellation?
- Do users perceive semantic distortion due to random sentence replacements?
- What specific privacy concerns do users have regarding data exfiltration or keylogging?
Evidence
quote
I loved Grammarly. But it has changed post LLM boom. The underlying concept was awesome as they take grammatical rules from a book of english grammar rules into a linter. Then it let you select the tone and adjusted some for marketing/engagement so it sounds good on Twitter. I have severe dyslexia and struggled with tone.Lately, like following ChatGPT 3.5 release era, I had found Grammarly now replacing entire sentences with LLM replacement which are random and inject bias to being near useless. It did this some before. The problem is I can't even tell if it's defensible from a grammatical point when it uses an LLM to do this.
quote
Grammarly was a great idea in the pre-AI era. Now I bet they're losing a lot with so many AI solutions that are better integrated across every ecosystem.
quote
Displaying a full page warning in an app where grammarly is just an integration is... not a good look.
quote
Grammarly is a keylogger and an asset of a spying agency[1]. No one should use them either willingly or unwillingly.[1] almost every cloud solution that exfiltrates your data to the cloud is, but that is besides the point
Disclaimer: this card is distilled by AI from community discussions as “pain point evidence”. It is a starting point for need analysis and validation, not a “validated market need”. AI has analytical limits; please open the original discussion above to manually verify before key decisions.