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Give it to people! This AI account that is good at chatting has gained 10 million fans in the fast hand half a year

5 min read · Sep 28, 2026
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Give it to people! This AI account that is good at chatting has gained 10 million fans in the fast hand half a year

Give it to people! This AI account that is good at chatting has gained 10 million fans in the fast hand half a year

Status note: This case study reflects the 2024–2025 wave of AI content monetization on Chinese social platforms. As of late 2026, treat the traffic and income figures in this case as a snapshot of a specific 2024–2025 moment: they were self-reported, tied to that window, and not reproducible as stated. The methodology — niche selection, production loop, monetization stack — is the part worth studying.

Monetization Angle

This guide explains Give it to people! This AI account that is good at chatting has gained 10 million fans in the fast hand half a year, including its monetization angle, target audience, workflow, and practical execution lessons.

The commercial logic centers on using AI-driven content to earn attention on content platforms, turning that attention into revenue through subscriptions, services, ads, affiliate offers, digital products, or other repeatable monetization paths.

Best For

This case is best suited for creators, operators, and AI builders who want to package AI capabilities into a clear content or product workflow and improve conversion from traffic to revenue. The current tool stack for this category centers on Jimeng AI (Dreamina) (https://jimeng.jianying.com) and Midjourney (https://www.midjourney.com).

Difficulty

Moderate. The work usually involves selecting the right AI tools, testing prompts or production steps, refining positioning, and iterating until the format is stable enough to scale.

Workflow

Use Give it to people! This AI account that is good at chatting has gained 10 million fans in the fast hand half a year as the core creative or product angle, then shape it into a workflow that fits content platforms.

  • Define the user problem, audience desire, or attention trigger that makes the case valuable.
  • Choose the AI tools, assets, prompts, and supporting platforms needed for production.
  • Build a first version of the AI-driven content workflow and make the output simple enough to repeat consistently.
  • Package the result with a strong title, hook, thumbnail, or offer so the value is immediately visible.
  • Publish, test, and optimize on content platforms based on saves, watch time, clicks, comments, or conversions.
  • Turn validated demand into revenue with a repeatable offer such as services, templates, memberships, software access, or partnerships.

Case Review

The strength of this case is that it uses a focused AI angle to make AI-driven content easier to understand, easier to distribute, and easier to monetize.

Its main risk is that platform distribution, audience taste, and tool quality can change quickly, so the workflow works best when it is updated continuously instead of treated as a one-time tactic.

The platform's AI push has only deepened since — Kuaishou is also the home of Kling AI, its own video generation platform, which creators on the app can build with directly.

Tools Used

  • Core AI generation or automation tools for creating the main output.
  • A publishing or distribution stack centered on content platforms.
  • Analytics, editing, and asset-management tools for iteration and scaling.

Summary

The key takeaway from Give it to people! This AI account that is good at chatting has gained 10 million fans in the fast hand half a year is that a narrowly defined AI workflow can become commercially valuable when it solves a visible problem, fits a distribution channel, and is packaged into a repeatable operating system.