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In this clip of The Debrief, Charlie explains why design partners, and the feedback they gave, was so crucial to the product we ended up building. Imagine an AI assistant that could automatically surface a whole host of useful incident response data points with just a prompt. Well, you won't need to imagine for much longer. That's exactly what we built in Assistant, one of our newest features powered by AI.

In this clip of The Debrief, Charlie explains why prompt engineering can be so challenging. Imagine an AI assistant that could automatically surface a whole host of useful incident response data points with just a prompt. Well, you won't need to imagine for much longer. That's exactly what we built in Assistant, one of our newest features powered by AI. In this episode, you'll hear from Charlie, the project lead for Assistant, to get a peek behind this game-changing product.

In this clip of The Debrief, Milly walk through how the incident.io team actually built out our latest AI feature: Suggested Summaries Recently we went live with one of our biggest product launches to date AI. And this product was unique in that it was broken up into four smaller projects: So naturally most folks might be wondering: What were the biggest differences between these projects and what went into actually building out each of these features?

In this clip of The Debrief, Milly explains why incident responders don't update summaries as frequently as they should. Recently we went live with one of our biggest product launches to date AI. And this product was unique in that it was broken up into four smaller projects: So naturally most folks might be wondering: What were the biggest differences between these projects and what went into actually building out each of these features?

In this clip of The Debrief, Milly explains the challenges of prompt engineering. Recently we went live with one of our biggest product launches to date AI. And this product was unique in that it was broken up into four smaller projects: So naturally most folks might be wondering: What were the biggest differences between these projects and what went into actually building out each of these features?

In this clip of The Debrief, Milly explains what Suggested Summaries are and how they can be a huge benefit for teams. Recently we went live with one of our biggest product launches to date AI. And this product was unique in that it was broken up into four smaller projects: So naturally most folks might be wondering: What were the biggest differences between these projects and what went into actually building out each of these features?

In this clip of The Debrief, Jack talks about how easy it has been for him and his team to start using incident.io to management data incidents. Full episode description below: If you're on a data team, have you ever considered using an incident management tool to respond to pipeline issues? If the answer is no, then you might want to check out this episode. Here, we chat with Jack, Data Analyst at incident.io, to better understand why data teams can—and should—look to incident management tools like incident.io to manage issues. We chat about.

In this clip of The Debrief, Jack talks about why it just makes sense for data teams to adopt an incident management tool to manage data incidents. Full episode description below: If you're on a data team, have you ever considered using an incident management tool to respond to pipeline issues? If the answer is no, then you might want to check out this episode. Here, we chat with Jack, Data Analyst at incident.io, to better understand why data teams can—and should—look to incident management tools like incident.io to manage issues. We chat about.