Good Ideas No Longer Rely Solely on Directors: AI Enables Everyone to Contribute Topics
The Dilemma of Traditional Topic Selection
Most content creation teams face a classic problem: the generation of great ideas is seen as the exclusive domain of directors. Teams rely on regular topic meetings led by directors for discussion and decisions.
But the reality is, brilliant ideas often come from every corner of a creator's daily work: a hot topic clip discovered by an editor during editing, changes in user interests spotted by an operations member analyzing backend data, or even a fun video seen by an administrative assistant. These insights, scattered across daily tasks, often disappear before they can become formal topic discussions because of the lack of an efficient aggregation mechanism.
The drawbacks of the traditional model are obvious: single source of ideas, over-reliance on a few people; high cross-department communication costs, difficulty in formally considering creative input from non-content roles; and lack of data support in the selection process, making decisions highly subjective.
Yingshi Jufeng's Solution: OpenClaw Bot + Group Chat Collaboration
Yingshi Jufeng created an "Idea Group" collaboration platform within the company. The core logic is: any team member, regardless of role, can contribute creative ideas by simply submitting a brief title or an accompanying image. The barrier to submitting ideas is greatly lowered, making full-team participation possible.
More importantly, they integrated an OpenClaw AI bot into Feishu group chats to achieve intelligent topic assistance. This AI bot acts like a 24/7 topic assistant, taking on three core functions:
First, intelligent background supplementation. When someone proposes a topic direction, the AI bot automatically replies with relevant information, enabling others in the group to quickly understand the topic's background and value, significantly reducing communication costs for subsequent discussions.
Second, proactive web-wide collection. The AI bot actively searches for interesting content and trending topics across the internet, recommending potential topic directions through a "card draw" mechanism. No one specifies specific information sources; the AI learns and filters these topic leads from the entire web on its own.
Third, multi-dimensional idea mining. The AI bot successfully discovers multiple truly interesting content directions, often beyond the conventional vision of manual planning.
The result is a more democratic and data-driven topic selection process. Directors can now professionally filter from a much wider pool of ideas. Good ideas are no longer the "privilege of a few" but have truly become the collective wisdom of "everyone can contribute."
Let an Agent Assist the Director in Managing Shooting Plans: Project Management No Longer "Manual Labor"
Typical Pain Points in Film/Video Project Management
Anyone who has done project progress tracking and management often shares a common feeling: you communicate, coordinate, and push things forward in group chats every day, but all the information is scattered. A video project often spans multiple phases—planning, shooting, post-production, operations—with frequent handoffs among many people, and information is scattered across different chats, documents, and conversations.
The director's situation is particularly awkward: they have to focus on both creative vision and execution, often becoming a "human project management tool"—progress stored in their head, key points scattered in chats, occasionally written in documents, but without any smooth path for recording and consolidating information.
AI Agent: The Director's Intelligent Project Management Partner
To address this pain point, Yingshi Jufeng is testing an AI agent to assist directors in managing shooting plans. The core idea of this solution is: let the AI handle the repetitive tasks of information integration and reminders in project management, freeing the director to focus on creativity.
When a certain node in the shooting plan changes, the AI agent can automatically track the change and notify relevant parties; when a person responsible for a certain step hasn't updated progress for a long time, the AI agent can proactively send reminders; when handoffs occur between different phases (planning, shooting, post-production), the AI agent can automatically organize handoff documents to ensure no information is lost.
This solution is still being tested and optimized, but it has already shown significant potential: reducing the director's energy drain on project management so creative people can truly focus on creativity.
Build a Free Teleprompter with No Code: Say Goodbye to Ads and Unreasonable Charges
Three Major Pitfalls of Existing Teleprompters
For hosts, YouTubers, or corporate spokespersons who frequently appear on camera, a teleprompter is an essential tool in shooting scenarios. However, teleprompter apps on the market generally suffer from three major problems:
Ad overload. Ads immediately upon opening, and a stray touch can accidentally open an ad page, seriously disrupting shooting rhythm and focus.
Unreasonable and opaque charges. Basic features are heavily restricted, and a smooth experience requires payment, often with unclear pricing, causing great frustration for creators.
Poor user experience. Scrolling speed mismatches speech speed, inability to adapt to multi-camera setups, counterintuitive interface design—these issues directly lead to low shooting efficiency and a significant increase in NG takes.
Feishu Miaoda: Build Your Own Teleprompter with Zero Code
Yingshi Jufeng used Feishu Miaoda to build a completely free teleprompter, eliminating all the above pain points.
Feishu Miaoda is a lightweight AI building platform launched by Feishu. No programming background is required; if you know how to use Feishu, you can quickly build your own custom useful tools. Using Yingshi Jufeng's teleprompter is extremely simple: just open the app in Feishu Miaoda, paste your script, and the system automatically adjusts scrolling speed based on your speech in real time.
The core advantages of this teleprompter include:
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Completely free, with no hidden charges, and no worries about ads interrupting your shooting process.
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AI speed adaptation: scrolling speed automatically matches the host's actual speaking speed—no manual adjustment needed.
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Adapts to multiple scenarios: whether for on-camera talking, live streaming, or complex multi-camera recordings, the teleprompter experience is smooth and natural.
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Seamless integration with the Feishu ecosystem: use it directly within your company's Feishu environment without switching to third-party apps.
After real-world testing, shooting efficiency has greatly improved and NG takes have significantly decreased—the host can focus all their energy on content delivery instead of being distracted by tool flaws.
AI-Driven Data Analytics: Turning Operations Decisions from "Manual Labor" into "Brain Work"
The Efficiency Dilemma of Traditional Data Operations
After each episode goes live, the operations team needs to export data from various platforms (Bilibili, Douyin, WeChat Video Channel, Xiaohongshu, etc.) and manually compile it into reports. Just aggregating and formatting the data often takes the better part of a day.
More frustratingly, after the data is organized, real insights and conclusions still rely on manual analysis. Operations staff spend most of their energy on data moving rather than data thinking, leaving little time for actual strategy optimization.
Feishu Multidimensional Table AI: Reconstructing the Data Operations System
Yingshi Jufeng used Feishu Multidimensional Table AI to generate dashboards and an AI-powered data query feature, thereby reconstructing their data operations system. They achieved two core capabilities:
Natural language-driven dashboard generation. Operations staff simply describe their analysis needs in natural language, and the system automatically generates a visual dashboard based on the existing data. No mastery of data analysis tools or programming skills is required; the AI understands the request and responds quickly.
AI data analysis and insight generation. Yingshi Jufeng also built a "Han Pan Liang" multidimensional table—using the table's AI data analysis capabilities to study the correlation between Tim (the main creator of Yingshi Jufeng)'s on-screen time and video retention rates. The AI not only presents data but can further produce insight reports, digging deeper along analytical paths to help the team identify key directions for content optimization.
In the end, data operations has transformed from "manual labor" into "brain work"—the AI takes care of data aggregation, formatting, and visualization, while human operators can focus their energy on strategy formulation and creative decisions.
Conclusion
Integrating AI tools with traditional creative workflows is not an overnight process. Yingshi Jufeng's practice shows that the key is to identify scenarios where AI can truly add value: use AI to democratize the aggregation of topic ideas, use AI to relieve directors of project management burdens, use AI to build smooth shooting assistance tools, and use AI to free operations teams from menial data moving.
When AI truly integrates into every link of a high-intensity creative ecosystem—rather than becoming a gimmick for a promotional moment—it can realize its genuine value. Yingshi Jufeng has proven the feasibility of this path. Now, you too can claim the same AI workflow with one click and start your own journey toward AI-enhanced creative efficiency.