video1.0<iframe src="https://www.loom.com/embed/50a078ed35a4459386b595885ac33814" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/50a078ed35a4459386b595885ac33814-277bfc27f753ddd5.gif269.067This Loom argues for a “human gate” model for using AI, stressing that the human should keep decisions involving people, money, trust, or taste. The speaker notes that AI can be efficient but can also make you busier without clear results, so they emphasize tracking proof with receipts. They describe Threadify as a SaaS content agent, citing 46,514 posts, 34,878 AI generations, 25,207 schedules, and 1,500 registered users, and share examples of cutting a task from 1 to 3 hours to under 10 minutes. They outline a one real job approach with baseline measurement and evidence captured over a seven-day receipt cycle.