The capybara site versus 443 subagents is what got me. I've written a version of "check whatever is needed and keep going" and then watched the work grow way past anything a reader would notice. A hard stop before I walk away would have saved me the same kind of week.
The "whatever is needed" sentence is the real finding here, and I'd go a step further: the day-one scope prompt could also include a stop condition that's checked mechanically, not just stated. For example, a fixed budget of subagents or wall-clock hours per phase, after which the agent must stop and report rather than propose another revision. A related suggestion is to make the agent rank findings by cost-to-fix versus severity before designing anything, so the three Medium host findings and the absolute_redirect off; fix land first. One question: since each campaign was bound to an exact artifact, did you consider a cheaper tier of evidence (a smoke subset of the 247 cases) for revisions that only touch files unrelated to the failure paths?
Kartik N V J K
AI Developer | Making AI reliable, trustworthy & accessible to everyone | Active community contributor
161 subagents on September 26 alone, two days after you switched to GPT-6 Sol, and by then there was no way to tell whether the model or the P50 and P51 rounds drove it. I'd put the subagent count into those three plain daily sentences too. A burst like that should get flagged the same day.