I pointed 108 agents at my own growth strategy. They refuted the two assumptions it stood on.
I had a content strategy. It was coherent, it was written down, and about 60% of my planned work depended on two specific claims being true. Then I ran a deep-research pass over it: 108 agents, 25 sources fetched, 124 claims extracted, 25 put through adversarial verification. 13 confirmed. 12 refuted. Among the refuted twelve were the two claims the whole plan rested on. Not edge cases — the…
A content strategy was implemented, relying on two key assumptions. To test these assumptions, a deep-research process was undertaken involving 108 agents, 25 sources, and 124 claims. Of these, only 13 claims were confirmed and 12 were refuted. The two assumptions on which the entire plan rested were among the refuted claims. This highlights the importance of adversarially verifying assumptions, rather than just relying on the model's agreement.
The process involved four stages: fetching sources, extracting claims, adversarially verifying, and synthesizing from survivors. In this case, the refutation of the two key assumptions led to the removal and rebuilding of the plan based on the remaining 13 verified claims.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
