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However, the summary says \"Will Daney says\" the workflow saves 16 hours per week and \"Rachita Jain says\" her workflow distills updates and that a prototype took 3–5 days. In the source, these figures appear in OpenAI's narrative voice, not as quotes or attributed statements from either employee; only the 40% figure is explicitly Will's estimate. The claims list attributes most figures to OpenAI, but it still says \"Jain says\" for the prototype claim. Smallest repair: attribute these figures to OpenAI's case study, as in the claims list.","excerpt":"Across the 12-week GTC planning cycle, the workflow saves about 16 hours per week."},{"dimension":"summary","status":"uncertain","explanation":"The reading reports the claimed effects on work and their missing basis without promotional feature description. However, the central term \"GTC\" is never explained, and the definitions list is empty, so a non-specialist cannot tell what the planning cycle is for. The source explains GTC as NVIDIA's global AI conference. Smallest repair: add that GTC is NVIDIA's global AI conference.","excerpt":"supporting the field organization around GTC, NVIDIA’s global AI conference."},{"dimension":"date","status":"pass","explanation":"The reading's date of August 18, 2026 matches originalPublished (instant, UTC) and the source dateline. The archive-copy status is disclosed in the limitations. The reading does not rely on the later Keep reading sidebar, uses no hindsight framing, and presents the What's next section as OpenAI's stated opportunity and goal rather than as outcomes.","excerpt":"August 18, 2026"},{"dimension":"support","status":"pass","explanation":"Each claim's excerpt appears verbatim in the source and supports the claim. The point about freed time for field teams and customers is supported by Will's quote. The stated goal and the reusable-workflow framing are attributed to the case study. 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