The Generic AI Draft Problem
You can open a fresh chatbot, type "write me a TikTok script about saving money," and get something back in seconds—but generic is all the default gives you.
Hooks, scripts, and short-form video ideas generated and refined with AI for TikTok, Reels, and Shorts.

Why You Bought a Formula, Not a Lottery Ticket.
You now hold eight separate skills: a retention model, a hook structure, a briefing block, a volume-generation pass, a beat-by-beat retention map, an ending decision tree, a content system, and a testing log. The danger at this stage isn't ignorance—it's friction.
You can open a fresh chatbot, type "write me a TikTok script about saving money," and get something back in seconds—but generic is all the default gives you.
You nail the hook—an opener you'd stake a video on—and then, eleven seconds in, you watch the retention graph fall off a cliff. You learn where it leaks.
A video works. Then the next morning arrives, you stare at a blank screen, and you face the question every creator hits after a hit: now what?
You posted nine videos last month. Two outperformed the rest by a wide margin—one hit four times your usual views, another doubled your saves.
Pick three videos you posted in the last 90 days—your best performer, your worst, and one in the middle—so the contrast teaches you something. For each, open the analytics your platform already gives you free; TikTok, Instagram, and YouTube all surface retention and average watch time.
A hook bank is a running document of openers you've written, sorted by formula, that you draw from instead of inventing under pressure. Start it now. Step 1: take one topic you'll genuinely make a video about and write its plainest, most boring opener—the "Opener A" version. Seeing the weak default makes the rewrite sharper.

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