| # | Beat | Timecode | Motion | Logo | Audio | VO / on-screen |
|---|---|---|---|---|---|---|
| 1 | open | 0–8s | spatial-parallax | icon·liquid-chrome | ♪ bed in | Most AI advice sells you the sizzle and skips the steak, so today we hand you the whole playbook. on-screen: Most AI advice sells the sizzle |
| 2 | hook | 8.0–16.0s | kinetic-build | icon·white-knockout | ♪ — | The old reflex was to buy the shiniest tool and then go hunting for a problem it might solve. on-screen: Old way: buy the shiny tool first |
| 3 | quote | 16.0–24.0s | kinetic-build | icon·liquid-chrome | ♪ — | Now we start with the business problem, name the exact task, then pick the model and a number we can measure. on-screen: Name the task. Pick the model. Measure |
| 4 | proof | 24.0–31.0s | receipts-count | icon·white-knockout | ♪ — | We wire the tool in once through an MCP call, so the same step runs the same way every on-screen: Wire it once with an MCP call |
| 5 | hook | 31.0–38.0s | kinetic-build | icon·liquid-chrome | ♪ — | A demo impresses a room once. A repeatable playbook keeps paying out long after the applause stops. on-screen: A playbook beats a one-off demo |
| 6 | resolve | 38.0–45.0s | coalescence | horizontal·liquid-chrome | ♪ bed out | Take the method, run it on your own work, and if you want the worked example it lives at temerarii.xyz. on-screen: Steal the method at temerarii.xyz |