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title: AI workslop is a standards problem | daily.dev
description: A 60-minute team workshop reduced AI workslop by getting teams to agree on what good work looks like. Atlassian's Teamwork Lab ran the pilot with 31 employees...
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# AI workslop is a standards problem

**[Atlassian](https://daily.dev/sources/atlassian)** · 4 min read · 1 upvotes · 0 comments

## Summary

A 60-minute team workshop reduced AI workslop by getting teams to agree on what good work looks like. Atlassian's Teamwork Lab ran the pilot with 31 employees across five Workplace teams in June 2026, focused on creating Confluence pages with AI. Right after the workshop, 100% agreed they understood what a good page looked like, up from 62%, and 97% said they knew how to create one. Two weeks later, agreement that pages met a high standard rose to 67% from a 40% baseline. The report also cites an earlier study where polish made reviewers 22% less likely to catch a critical flaw in a draft.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.atlassian.com/blog/ai-at-work/ai-workslop-is-a-standards-problem>

## Questions this post answers

### what is ai workslop

AI workslop is AI-generated work that looks polished but lacks the context, judgment, and substance needed to move a project forward. It shifts the burden of interpreting, checking, and rewriting onto whoever receives it. A BetterUp and Stanford survey found 42% of people who received workslop viewed the sender as less trustworthy and 37% as less intelligent.

_Teams debating how to roll out AI tools track findings like this one on daily.dev._

### how can a team reduce ai generated workslop

A 60-minute team workshop that aligns everyone on what a 'good' output looks like can sharply cut workslop. In an Atlassian pilot with 31 employees, agreement on what counts as a quality Confluence page jumped from 62% to 100% right after the workshop, and the share who felt their team's AI pages met a high standard rose from 40% to 67% two weeks later.

_Teams setting AI quality standards can follow results like this on daily.dev._

### does polished ai writing make errors harder to catch

Yes, polish makes mistakes harder to spot. In a study of 903 U.S. knowledge workers, reviewers were 22% less likely to catch a critical flaw in a polished version of a draft compared to a rougher one, meaning cleaner formatting can mask substantive problems rather than reflect their absence.

_Developers reviewing AI-generated docs or code can follow research like this on daily.dev._

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