Datadog Developers (@datadogdevs)
@datadogdevs
The developer side of Datadog. Service status:
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"Sometimes a session replay can literally be four hours long... trying to watch all of that doesn't scale."
@OliverKorzen from @ThisWeeknAI chats with @datadoghq Sr. PM Abhi Motgi about how AI Summaries make Session Replay much faster to navigate.
Get a summary of what the user was trying to do, where they hit friction, and how the session ended - then jump straight to the important moments with AI Smart Chapters and hyperlinks that take you directly to the events worth investigating.
Watch the full walkthrough on YouTube 👉
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Once your agent is in production, people will use it in ways you never expected.
That's why @OliverKorzen from @ThisWeeknAI calls out Patterns as one of the Agent Observability features he's been using the most.
It automatically clusters conversations into themes, making it easier to discover new use cases, uncover gaps, and decide what your agent should learn next.
Watch the full walkthrough on YouTube 👉
@datadoghq
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"AI agents don't just get better, they get better at some things - and worse at others. That's why we built experiment visualization" - Sr. Staff Engineer, Michael Bevilacqua-Linn
Instead of digging through charts, this new Agent Observability view makes it obvious what's changing across experiment runs, helping you quickly decide whether your latest version is actually an improvement.
Did user satisfaction improve?
Did accuracy regress?
Did brand voice get better?
@datadoghq
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