{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/4c4a10fa85324ad29d71a3b67d383210\" frameborder=\"0\" width=\"1840\" height=\"1380\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1380,"width":1840,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1380,"thumbnail_width":1840,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/4c4a10fa85324ad29d71a3b67d383210-e7cefce6de5b8959.gif","duration":261.604,"title":"Turning Real Activity into Execution Signals","description":"This Loom explains why resumes, titles, and credentials no longer reliably indicate real capability and proposes using real activity instead. It argues that past experience does not guarantee current skills and that many people are building capability outside formal recognition systems where there is no way to see it. The speaker introduces BuildSignal, an AI agent that turns real activity into execution signals by starting from what someone actually does, such as building AI prototypes with APIs and posting weekly about experiments. It then generates an execution profile through reasoning, inferring how the person operates, including learning velocity, system thinking, and evidence from tools used."}