Until now, asking Agent0 about AI SDLC Insights did not get you far. Agent0 could not read the page's data, so it either said it had nothing to go on or pieced together numbers that did not match the cards in front of you.
Agent0 now reads AI SDLC Insights directly, from any page. Ask what your coding agents cost per model, whether review got faster than in the previous period, which pull requests are still waiting for a first review, or what happened in a specific coding-agent session. The answer comes from the same data the page shows and says which time range it covers.
On the AI SDLC Insights page, the Agent0 panel also knows what you are looking at: the tab, the time range, your filters, and the percentile you picked for the duration cards, so a p90 view gets p90 answers. Open a coding-agent session and it knows that too. Each tab offers three suggested questions of its own, such as "What is driving our coding-agent spend?" on Cost or "Which stage slows our pull requests down the most?" on Productivity, and an open session adds three more, like "Where did this session's cost go?"
So when a number on the page looks off, you can ask Agent0 why and get an answer that starts from the slice you are already looking at, not from scratch.