AI for Creators: A Repeatable Workflow from Topic to Distribution

By the end of this article you'll have a steady AI content production line: fixed steps from topic to publishing, so every post doesn't start from a blank page.

Breaking creation into seven stages

Many people stall on "what do I post today," and the root cause is the absence of a process. Fix content production into seven stages: topic selection, title, script or outline, visuals and cover, editing, multi-platform adaptation, and data review. Each step solves exactly one problem, and you finish it before moving on, which keeps the criteria clear and makes it easy to hand repetitive work to AI.

Of the seven, the ones that genuinely need your judgment are topic selection and review. The rest are execution and can go to LLMs and generation tools.

Topic selection: a niche base, with trending topics as leverage

Your niche determines who remembers you; trends determine how many people see you this time. A stable ratio is 70 percent content around a fixed domain, 30 percent trending topics routed back into that domain. Niche topics can come from three sources: questions readers keep asking, mistakes you've made yourself, and the top comments under competitors' content.

List your candidate topics, and for each one write down who it's for, what problem it solves, and why it's worth writing now. If you can't fill in those three lines, set it aside.

Scripts: give structure, not a one-line instruction

The worst prompt for a script is "write me an article about X." What works is handing over a skeleton first: target reader, the confusion to resolve, three to five key points, expected length, tone, plus one line saying "don't invent data; flag anything you're missing."

1. Ask for an outline and a one-sentence summary per section; you confirm the structure.
2. Then expand section by section, one at a time.
3. Finally unify the tone, cut repetition, and split long sentences.

Voiceover content needs one more pass: convert written language into sentences that are easy to say aloud, each under about twenty characters.

Visuals and covers: fix the look before the content

The cover drives clicks; the inline images drive completion. When using a tool like Jimeng, lock a visual system first: primary color, composition, text placement. Reuse it every episode and readers will recognize you at a glance. In generation prompts, lead with subject + scene + lighting + style; that beats piling up adjectives.

Keep cover text to six to ten characters, and don't repeat the title on the cover. The two carry different jobs.

Distribution: one draft must be rewritten

Readers on WeChat, RED, Douyin, Zhihu, and Bilibili expect completely different things. WeChat rewards structure and information density, RED needs to be scannable at a glance, short video lives or dies on the first three seconds, and Zhihu rewards answers to real questions. Copy-pasting one draft everywhere usually means it works nowhere.

The right approach is to keep a master draft, then rewrite the opening and adjust the information density per platform. For the detailed breakdown, see the learning path.

Review: let data point you back to topics

After each post, record four numbers: impressions, click-through rate, completion or read-through rate, and engagement. Don't look only at views. Low click-through means the title and cover are the problem; low completion means the opening and structure are; low engagement means the point of view isn't clear enough.

Write each conclusion as one sentence, such as "tutorial titles with numbers get more clicks," and test it in the next round. Topic selection gets sharper over time.

A minimum viable starting plan

Don't chase daily posting at the start. Pick a sustainable frequency, say two or three posts a week, run a fixed template for four full weeks, and scale only once it runs smoothly. On the tool side, write with an LLM such as DeepSeek, Tencent Yuanbao, or Doubao, generate images with Jimeng, and edit video in CapCut. Tool links are in the tool library.

Platform rules and recommendation mechanics will keep changing (as of 2026-11; this article covers general method only), but the trio of a niche, a steady cadence, and data review has never gone out of date. If you want to get hands-on with the tools first, browse the tutorials.