Markdown + AI = Efficiency Tool: Learn the large model text format in 10 minutes!

Markdown makes text editing in the AI era easy!
Core content:
1. Basic concepts and origins of Markdown language
2. Five advantages of Markdown in the AI era
3. Quick start guide to basic Markdown syntax
Why I wrote this article? Because I have seen too many people copying large model answers without adjusting the format . Every time I see the format shown below in a formal document or report, I can't help but laugh.
Then, for newbies who don’t know programming and want to develop intelligent applications, even on a low-code platform like Coze, they must understand the Markdown language, otherwise they will not be able to output beautifully formatted documents.
What is Markdown?
Markdown is a lightweight markup language created by John Gruber in 2004. It uses plain text format to write documents and then converts them into valid HTML documents. Unlike complex word processing software, Markdown allows you to focus on the content itself rather than tedious typesetting.
The most amazing thing is that Markdown's syntax is extremely simple and requires almost no learning cost . Its design concept is "easy to read and write" - even the original Markdown text can be easily read without being disturbed by markup symbols.
Why is Markdown so important in the AI era?
When interacting with large models such as ChatGPT and Claude, we need a language that can express formatting requirements without being too complicated. Markdown meets this need:
1. Universality : Almost all AI platforms support input and output in Markdown format
2. Structuring : Helping AI understand the hierarchical structure and key content of text
3. Readability : Even if AI outputs raw Markdown code, humans can easily read it
4. Lightweight : does not occupy a large number of tokens, saving API call costs
5. Cross-platform : Content generated from AI can be easily copied and used on various platforms
A quick guide to basic Markdown syntax
title
The title in Markdown is very intuitive, using the # symbol:
# First level title
## Secondary title
### Level 3 heading
#### Level 4 heading
##### Level 5 heading
####### Level 6 heading
The actual effect is just like the titles of each part of this article, clearly structured and clear at a glance.
Text Style
*Italic text* or _Italic text_
**Bold Text** or __Bold Text__
** *Bold italic text* ** or__ _Bold italic text_ __
~~Delete line~~
These simple symbols allow us to easily emphasize important parts of the text: key points , additional explanations or discarded content .
List
Unordered lists use - , * , or + as list markers:
- Item 1
- Item 2
- Item 3
Ordered lists use numbers followed by periods:
1. Item 1
2. Item 2
3. Item 3
Lists can be nested by adding four spaces before each sublist item:
1. Item 1
-Sub- item 1
-Sub- item 2
2. Item 2
Links and images
The syntax for linking is pretty straightforward:
[Link text](https://www.example.com)
For images, add an exclamation mark before the link:

References
Use the > symbol to create a block quote:
> This is a quoted text.
> This is the second line of the quote.
References can also be nested:
> Outer Reference
>> Inner reference
Code
Inline code is wrapped in backticks:
Use `print("Hello World")` to output a greeting
Code blocks are wrapped in triple backticks, and the language can be specified to get syntax highlighting:
```Python
def greet(name):
return f"Hello, {name}!"
print(greet("AI"))
```
sheet
Although creating a table in Markdown may seem a bit complicated, the logic is very clear:
| Name| Age| Occupation|
| --- | --- | --- |
| Zhang San | 28 | Engineer |
| Li Si | 32 | Designer |
Colons can be used to align columns:
| Align Left| Align Center| Align Right |
| :--- | :---: | ---: |
| cell| cell| cell |
Divider
Use three or more asterisks, minus signs, or underscores to create a separator line:
---
***
__ _
Perfect combination of Markdown and AI big model
When we use large models such as ChatGPT for creation, Markdown becomes an ideal medium for human-computer communication. Here are some practical scenarios:
Generate structured documents
We can ask AI to output various structured documents using Markdown format:
Please generate an "Artificial Intelligence Ethics Guide" in Markdown format, including four parts: introduction, core principles, application cases and conclusion.
AI automatically organizes the content using appropriate heading hierarchy, lists, and emphasis to make the output clearer.
Create technical documentation
For programmers, Markdown is ideal for writing technical documentation:
Please write a description of a React component in Markdown format, including installation guide, API documentation, and usage examples.
AI will use elements such as code blocks and tables to generate professional technical documents.
Course Outline and Study Notes
Students and educators can use Markdown to organize learning materials:
Please generate a 10-lesson study outline for "Python Data Analysis" for me in Markdown format, with each lesson including learning objectives, key concepts, and exercises.
Hierarchical headings and lists make learning plans clear at a glance.
Applying Markdown in real work
Markdown has penetrated into various work scenarios. Mastering it will greatly improve efficiency:
1. Document collaboration platform
GitHub/GitLab : Almost all code repository READMEs and documents use Markdown
Notion/Feishu : Modern work platform native support for Markdown
Confluence : Enterprise-level knowledge management platform supports Markdown syntax
2. Note-taking apps
Obsidian : A knowledge management tool based on Markdown that supports bidirectional links
Typora : A WYSIWYG Markdown editor
OneNote/Evernote : Mainstream note-taking apps provide Markdown support
3. Blogs and content platforms
WordPress : Markdown support is available via plugins
Medium : Supports basic Markdown syntax
Jianshu/Zhihu : Domestic mainstream content platforms widely support Markdown
4. Integration with AI tools
# Use Python to call the OpenAI API and require output in Markdown format
import openai
response = openai.ChatCompletion.create(
model = "gpt-4" ,
messages=[
{ "role" : "system" , "content" : "Please reply in Markdown format." },
{ "role" : "user" , "content" : "Generate a weekly report template" }
]
)
markdown_content = response.choices[ 0 ].message.content
print (markdown_content)
Advanced Markdown Tips
After mastering the basic syntax, these advanced techniques will make your Markdown usage more handy:
1. Task List
- [x] Completed mission
- [ ] Unfinished tasks
- [ ] Another unfinished task
This is particularly useful in project management to visually demonstrate task progress.
2. Footnotes
Here is a footnote reference [^1]
[ ^1 ]: This is the footnote content.
Suitable for adding reference material or supplementary explanation.
3. Mathematical formula
Many Markdown tools support mathematical formulas in LaTeX syntax:
Inline formula: $E=mc^2$
Standalone formula:
$$
\frac{d}{dx}(x^n) = nx^{n-1}
$$
This is extremely valuable for science, engineering, and academic writing.
4. Mermaid Chart
Some advanced Markdown editors support Mermaid syntax and can directly create flowcharts, sequence diagrams, etc.:
```mermaid
graph TD;
A[start] --> B{conditional judgment};
B -->|yes| C[process 1];
B -->|No| D[Process 2];
C --> E[end];
D --> E;
This makes the visualization of complex information incredibly easy.
### Markdown prompt word skills for efficient collaboration with AI large models
The key to having AI generate beautifully formatted Markdown content is to provide clear instructions:
#### 1. Explicitly specify the output format
Please follow the following Markdown template format to generate three blog outlines:
[Blog Title]
introduction
[Point 1]
[Point 2]
Main body
[Subheading 1]
...
Please generate a study plan in Markdown format, including the following elements:
Use level 3 headings to separate weekly content
Use task lists to represent items to be completed
Use a table to present your daily time allocation
Use block quotes to highlight key points
Markdown, with its concise and efficient features, is becoming the universal language for communication in the AI era. It is not only a tool exclusively for technicians, but also a necessary skill for all modern people who need to create texts and manage knowledge. Through this 10-minute introductory guide, I believe you have mastered the core usage of Markdown and can skillfully use this tool when collaborating with large AI models.