Short cut · 24 s
A 3, 2, 1 count while the answers are read. One decision.
Three NCLEX-style cases, each cut twice. Same case, same twist, same bridge page; only the time to think changes. Cases 1 and 2 use the One Detail look; case 3 uses the client app's own design. Watch both cuts of a case on a phone, then play the live page next to them. At the bottom: the long cut again, now with people in it.
The answers are read, a 3, 2, 1 ring runs, then “Picked one? Remember it.” About 4 seconds to choose. Built to be watched to the end.
A 10 second count with prompts every few seconds, then after the twist a second 5 second count: keep it or switch? Built for people who play along.
Watch time and the share of full views in TikTok and Instagram analytics, plus clicks to the page per cut (the links carry utm_content=short, long or people).
The long cut with photos of nurses and patients made with AI. It tests one thing: does a face in the first second keep more people past the hook?
Leg cast, pain 7/10, toes fine. New detail: pain 9/10 despite his last dose, and it spikes when his toes are stretched. The answer flips from treating the pain to calling the provider.
A 3, 2, 1 count while the answers are read. One decision.
10 seconds to think with prompts, then a second 5 second decision after the twist.
Day 1 after surgery, pain 8/10, alert. New detail: he falls asleep in the middle of rating his pain. The answer flips from giving the morphine to holding it.
A 3, 2, 1 count while the answers are read. One decision.
10 seconds to think with prompts, then a second 5 second decision after the twist.
Heart failure, digoxin due, pulse 72, potassium fine yesterday. New detail: this morning's potassium is 2.9. The answer flips from giving the dose to holding it and calling the provider. Reel and page both use the client app's look.
A 3, 2, 1 count while the answers are read. One decision.
10 seconds to think with prompts, then a second 5 second decision after the twist.
A face in the first second, the patient behind the case, and the twist shown on a photo. Three nurses from different backgrounds, shot like phone photos from a real shift. Every photo is made with AI (Codex, gpt-6.1-terra): it only illustrates the case, and no nurse or patient ever gives a quote or a review.
Hook: a night shift nurse looks into the camera. Case: the young man in the leg cast. Twist: the same man, now in pain.
Hook: a nurse on the night ward. Case: the man after surgery, awake and talking. Twist: the same man, asleep in the middle of a sentence.
Hook: a morning shift nurse holds the cup with the dose. Case: an older man at breakfast. Twist: the nurse frowns at the new lab result on his phone.