Short-video algorithms care about one thing: posting frequency. Stop for 3 days and traffic falls off a cliff; post daily for 30 days and the account takes off. But one person trying to dream up 10 ideas a day starts repeating by #3 and wants to bang their head by #7. This SOP doesn't teach "inspiration"-it teaches a reusable pipeline: topic -> dissect a hit -> generate script -> storyboard -> batch-dedupe, turning "10 a day" from grunt work into process.
Why Daily Posting Is Life-or-Death for Short Video
The algorithm's core signal is "account activity + steady content supply." Daily posting isn't really about "more volume," it's about:
- Feeding the algorithm training samples: the more you post, the better it learns who to push your account to.
- Low cost of experimentation: out of 10 a day, one will pop, and that single hit lifts the whole account.
- Owning long-tail search: the same topic across 10 angles captures the full search traffic.
By brainpower alone, 3 a day is the limit. With a pipeline, 10 is routine.
The Pipeline (5 Nodes)
topic pool -> hit dissection -> script generation -> storyboard & voiceover -> batch dedupe
Every node involves AI, but humans guard three things: topic direction, fact-checking, and final voiceover polish. The AI is the line worker; you're the QA inspector.
Step 1: Topics (Trending + Long-Tail)
Topic decides 80% of views. Two tracks run in parallel:
- Trending: use platform hot searches / Weibo hot list / Douyin hot榜, grab what's hot in the last 24 hours, and ride it first. AI helps convert the trend into your vertical's angle.
- Long-tail: search "your field + how to / how much / which is best" type queries, build a long-tail topic library, and post steadily.
Topic generation prompt (copy directly):
You are a short-video topic planner. My account is positioned as "{{vertical}}," target audience "{{audience}}."
Based on the following trends, give me 5 topics that ride the heat while fitting my account:
1. Each topic includes: a title hook (≤15 chars) + a one-sentence core viewpoint + the trend it rides
2. The angle must be strongly tied to my vertical-don't force it
3. Avoid vague generalities; have a concrete conflict or contrast
Current trends: {{hot_list}}Pitfall 1: asking the AI to "generate topics" cold gets you correct but boring boilerplate. You must feed concrete trends + account positioning for it to produce hooked topics.
Step 2: Dissect Hit Structures
Hits aren't mysticism-they have structure. Take 3-5 recent hits in your vertical and dissect their skeleton:
- 3-second opening hook: what conflict / reversal / number / question grabs the eye?
- Body structure: problem-solution? Progressive? Contrast? Story?
- Ending: punchline / interaction prompt / cliffhanger?
Dissection prompt (copy directly):
You are a short-video structure analyst. Dissect the skeleton of this hit's script and output:
1. Opening hook type (conflict/reversal/number/question/other) + the exact words
2. Body structure (list what each segment covers, ≤5 segments)
3. Ending technique + the exact words
4. Why this structure works (one sentence)
Hit script: {{viral_script}}When you're done you'll have a "structure template library." Next time you generate a script, just reuse these proven structures-10x stronger than letting the AI invent from scratch.
Step 3: AI Generates the Script (Persona Prompt)
A script isn't an essay-it's structured "shots + lines." The persona prompt is key.
Script generation prompt (copy directly):
You are the short-video writer for the "{{account persona}}". Write a 60-second short-video script using this structure:
- Duration: 60s (~220 words of voiceover)
- Structure: {{the hit structure to reuse}}
- Style: {{persona tone, e.g. snarky / gentle / professional}}
- The first 3 seconds must have a strong hook
Output format (one block per shot):
[Shot N] Visual: xxx | Voiceover: xxx | Subtitle: xxx
Constraints:
1. Voiceover must be conversational; ban written-style phrasing and "firstly, secondly"
2. Each sentence ≤15 characters, easy to parse for breath
3. Don't fabricate data/cases; mark any needed data with [TBD]
Topic: {{topic}}Pitfall 2: without capping sentences at ~15 chars, the AI writes long winding sentences that leave the narrator breathless and the viewer swiping away. Short video is an audio medium-short sentences rule.
Pitfall 3: without a "[TBD]" marker, the AI fabricates "studies show 80% of people..." fake data. Before publishing, every [TBD] must become real data or be cut.
Step 4: Storyboard and Voiceover Script
From the script, produce two shoot-ready artifacts:
- Storyboard: shot number / visual / duration / shot type, for the shooter.
- Voiceover script: pure lines + stress / pause marks, for the narrator.
The AI does the conversion here, but stress and pauses must be hand-edited-the AI doesn't know which line to emphasize. Treat it as a draft; read the voiceover aloud yourself, and anywhere it doesn't flow is what to fix.
Step 5: Batching and Dedup
The biggest trap of 10-a-day is self-repetition. Shots #3 and #7 use the same hook template, the algorithm flags plagiarism, and you get throttled.
Dedup prompt (copy directly):
You are a short-video dedup reviewer. Compare these 10 scripts and find:
1. Repeated opening hooks (≤2 of the same hook type allowed)
2. Similar punchlines / pivot lines
3. Identical structures (≤3 may reuse the same hit structure)
Output: which ones need changing, and what specifically to change.
10 scripts: {{scripts}}Batch generation tip: have the AI produce 5 at a time, in two batches, feeding the first 5 to the second batch so it avoids repeating them.
Pitfall Log
- Pitfall 4 (homogenization): the biggest risk of AI mass production is 10 scripts that look alike. Fix: constrain each batch to different structure templates + rotate persona tones to force differentiation.
- Pitfall 5 (platforms detecting AI): some platforms now detect AIGC traces and throttle pure-AI copy. Fix: the voiceover script must be hand-smoothed-add "I," colloquialisms, personal opinions-to drive the AI flavor to a minimum.
- Pitfall 6 (topic drift): chasing trends slowly scatters your account positioning. Fix: manage the topic pool centrally, review weekly, and skip trends that don't fit your positioning.
- Pitfall 7 (data fabrication): data in AI scripts is all made up and viewers will catch it. Fix: mark all data [TBD], verify each before publishing, and where you can't verify, reword ("a lot of people" instead of "80% of people").
Wrap-up
Daily posting isn't about inspiration, it's about a pipeline. Lock the five steps-"topic -> dissect hits -> generate script -> storyboard & voiceover -> batch dedupe"-into templates; the AI does the mass production, humans own topic direction, fact-checking, and voiceover polish. Remember: an AI-written script is a draft, not a final. Wherever it doesn't flow when you read it aloud, that's what to fix. Accounts that post daily win on process, not talent.
References
- Douyin Creator Academy: creator.douyin.com
- Ocean Engine (trend data): www.oceanengine.com
- Short-video script structure dissection methodology: general creative method