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 MPUJS
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UID:pretalx-devopsdays-austin-2026-ZZ9UPS@talks.devopsdays.org
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DESCRIPTION:Most teams blame model quality when AI output is weak\, but the
  bigger issue is usually workflow design. In this Ignite talk\, I use a fa
 st compare-and-contrast format to show how common AI usage patterns create
  slop\, then contrast them with lightweight workflow shifts that produce b
 etter outcomes. The focus is practical: clearer task framing\, better hand
 offs\, verification loops\, and one extra iteration before giving up. This
  is not a deep implementation tutorial. It is a concise\, field-tested fra
 mework to help teams reduce rework and improve output quality quickly. Att
 endees will leave with simple behavior changes they can apply immediately.
DTSTAMP:20260410T012745Z
LOCATION:Ballroom
SUMMARY:Most AI Slop Is a Workflow Failure\, Not a Model Failure - Patrick 
 Robinson
URL:https://talks.devopsdays.org/devopsdays-austin-2026/talk/ZZ9UPS/
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