The topic hasn't been decided, the script hasn't been written, and the cover hasn't been made. Following the old method:
- I browsed trending topics for inspiration (40 minutes).
- I wrote the script word for word, and when I got stuck, I would just sit there and daydream (it took 2 hours).
- I kept changing the title, but I wasn't satisfied with any of them (it took 30 minutes).
- Distributing to different platforms requires formatting changes (which takes 50 minutes). By the time you're done, it's already 3 a.m., and you're completely exhausted. Now, let's try a different approach. No longer is he fighting alone, but commanding an "AI army".
Breaking down the pain points: Why is it still slow when you use AI?
Many people have used AI, but their efficiency hasn't improved. The reason is:
- Big pot stew: If you mix topic selection, structure, memorable quotes, and platform adaptation together, AI is prone to "talking around the bush."
- Prompt trap: There is only one AI window, which keeps modifying the prompts, making the situation more and more chaotic and the style extremely unstable.
- The content is too watery: Without any specific examples, the content generated by the AI is all "correct nonsense," and it's obvious at a glance that it was written by a machine.
- Multi-platform compatibility is difficult: The cost of rewriting a piece of content is extremely high if it is to be posted on Xiaohongshu (emotion), WeChat official account (logic), and short video (spoken language).
My "Personal Safety Net Process": The 30-Minute Maximum Output Method
Start the timer, let's begin.
00:00 – 05:00 | Phase 1: Defining the Brief (Instructions)
Don't let AI write the article directly; spend 5 minutes filling out this template first.
[Universal Brief Template]
- Target audience: (e.g., international students rushing to meet deadlines)
- Key selling points/pain points: (e.g., how to use AI to polish a paper to avoid plagiarism detection)
- Specific scenarios: (e.g., the manuscript is due tomorrow, and only a first draft is available)
- Expected goals: (For example: high number of collections attracts private message inquiries)
- Style requirements: (e.g., sharp-tongued, informative, fast-paced)
05:00 – 15:00 | Phase Two: Parallel Output of Multiple Models (DiffMind Core Component)
This is the key to accelerating the process. Don't wait in line for an AI to think. DiffMind In this process, the brief is sent to 6 models simultaneously, assigning them different tasks:
- Model A (Claude): Responsible for writingDeep Logic Outline。
- Model B (GPT-4): Responsible for writing5 viral headlines + 3 memorable quotes。
- Model C (Gemini/Llama): Responsible for findingSpecific Cases或Counterintuitive viewpoints。
- Model D: Responsible for writingCTA (Call to Action)。 result: Within 10 minutes, you have a library of materials from 6 different perspectives, instead of a mediocre first draft.
15:00 – 20:00 | Phase 3: LEGO-style assembly
Don't start from scratch. Look at DiffMind's comparison interface and start "building blocks":
- 用 Model B Use the third title as the cover.
- 用 Model C Use counterintuitive viewpoints as the opening "hook".
- 用 Model A The logical structure forms the framework of the main text.
- 用 Model D Use appropriate closing remarks. This step is extremely quick because you are answering multiple-choice questions, not fill-in-the-blank questions.
20:00 – 25:00 | Phase Four: Platform Adaptation
The assembled core content is then fed back to the AI for formatting:
- Xiaohongshu version: Adding emojis makes the paragraphs shorter and the tone softer.
- WeChat Official Account Version: Add subheadings to ensure logical coherence.
- Short video version: Remove formal language and label the shot size.
25:00 – 30:00 | Phase Five: Manual Self-Check and Submission
In the last 5 minutes, quickly scan using the following checklist:
[Self-Assessment Rating Sheet]
- Human Touch: Does it include "my" subjective feelings? (Add a sentence if not)
- Information density: Are they all filler words? (Remove adjectives, keep verbs and nouns)
- Compliance: Are there any absolute terms?
- Transformation capacity: Does the ending make you want to like/save it? Time's up, click Publish.
DiffMind Practical Application: How to Achieve "Doubling of Productivity"?
The reason this process is fast is that... DiffMind Two pain points were addressed:
1. Eliminate "switching costs"“
Previously, you needed to open three web pages to copy and paste the Prompt. Now, DiffMind lets you...One input, multiple responsesYou don't need to test which model is better for writing titles, because you can see all the results at the same time, and the advantages and disadvantages are obvious at a glance.
2. Enhanced Questioning: Turning Superficial Information into Substantive Content“
During the generation phase, you can use DiffMind's "Question Enhancement" feature to ask follow-up questions with a single click:
- “"Rewrite the general advice in this passage into a specific, actionable step."”
- “"Add a real data or news example to this viewpoint."” This directly solves the problem of empty content, allowing AI-generated materials to...Ready to use。
Conclusion
Content production efficiency The essence is not how fast you type, but how fast you make decisions. This is achieved through the "5-10-5-5-5" time allocation method, combined with... DiffMind With its multi-model collaboration capabilities, you're no longer a slave to algorithms, but a highly efficient content commander. Tonight, try creating your next viral hit in just 30 minutes.
