After reading Tsinghua's "DeepSeek from Beginner to Mastery", I found that 99% of people don't know how to use DeepSeek

After reading the 104 pages of "DeepSeek from Beginner to Master" written by the Tsinghua team, I found that the difference between people who can use AI and those who can't is not the tools, but the systematic methodology! From writing code to planning, from students to entrepreneurs, this manual breaks down the art of taming AI!

What can DeepSeek do?

Copywriting savior: Generate advertising slogans, hot titles, Xiaohongshu recommendation articles with one click, and even help you write poems!

Efficiency tool: automatically analyze data, generate charts, organize meeting minutes, a great tool for workers to slack off.

Programming Assistant: write code, fix bugs, make comments, and even help you with technical documentation!

Universal Consultant: Answer professional questions, organize knowledge framework, smarter than Baidu, more reliable than colleagues!

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❶ Speak human language, don't be polite
AI is not a fortune teller! If you want an accurate answer, remember to give the following instructions:
❌ Vague question: "How to write a good article?"
✅ Specific requirements: "Using the perspective of a 'working man', write a humorous essay about 996, within 500 words, with 3 homophonic puns."

❷ Role Playing YYDS
Give AI a "personality" and the output effect will be directly improved!
Want to write a professional report? → “You are a senior market analyst, using data to interpret 618 consumption trends.”
Need emotional copywriting? → “You are a late-night radio host, comforting listeners who have been heartbroken with your warm tone.”

 ❸ Advanced tips: step-by-step disassembly + reverse training
Don’t try to tackle complex tasks head on; it’s more efficient to break them down into small steps!
Let AI make an outline first, then polish it paragraph by paragraph;
The output is off? Just say: "The second example is not down-to-earth enough, change it to the case of a post-00s workplace rookie."

1. Tsinghua Methodology Core: Four major schools of thought on taming AI

 Prompt design flow - a "spell list" that makes AI understand human language in seconds

TASTE framework: Task + Audience + Structure + Tone + Example ▶️ Case: Let AI write copy for maternal and infant products, and use the framework to lock in "anxiety scenarios for new mothers + warm and healing style + with emoticons"

Element combination: information element (subject/data) + structural element (format/style) + control element (quality/constraint) ▶️ Like making a cocktail: "coffee evaluation report (subject) + comparison table (structure) + prohibited professional terms (control)"

Task disassembly flow - one-click disassembly of complex projects

SPECTRA model: segmentation → priority → refinement → connection → timing → resources → adaptation ▶️ Practice: Make a market plan in 7 steps, and use AI to output competitive product analysis/user portrait/communication strategy in stages

Three-chain integration: logical chain (rigorous reasoning) + knowledge chain (professional endorsement) + creative chain (brain-opening) ▶️ Planning a technology conference: first list the technical parameters (knowledge), then design a plot presentation (creativity), and finally arrange the risk plan (logic)

Creative Inspiration Flow - Turning AI into a Perpetual Motion Machine of Inspiration

Four-step method for cross-domain mapping: select source domain (such as human immune system) → find commonality (defense mechanism) → make analogy (cybersecurity = digital immunity) → create concept (digital vaccine) ▶️ Manual case: grafting libraries and social media to create a "knowledge social platform"

Random combination punch: build element library → force association → creative integration ▶️ Can't think of a smart home idea? Randomly combine "coffee machine + AR + carbon neutrality", AI will give you the "AR coffee carbon footprint tracking cup" solution in seconds

? Content Refinement Flow - Secrets to Qualitative Change from 60 Points to 90 Points

DES detail enhancement matrix: each concept is equipped with data + case + sensory description + comparison ▶️ When writing a climate report: "Sea level rise 3.3mm/year" turns into "The owner of a Maldives B&B watches the coastline disappear in a photo taken ten years ago"

Language simulation: Analyze the target corpus → Extract vocabulary/sentence patterns/rhetoric → Construct a language guide ▶️ Let AI imitate Luo Xiang: First feed it criminal law cases + "Zhang San style" sentence patterns + legal proverbs

2. Three must-learn combo skills for workers

Planning post: From 0 to 1 hit plan

Use the ALIGN framework to set the direction: "Improve the conversion rate of Qixi activities → Generation Z → Combine with the Metaverse → Output H5 planning with a budget table"

Start recursive meta-narrative: Let AI write a plan first, then criticize itself, and finally generate an improved version, and directly attach the PPT script

Risk rehearsal instructions: "List five possible failure points during execution and provide solutions for each risk"

✍️ Copywriter: Production line with 100,000+ units

Emotional explosion formula: pain point scenario + multi-sensory description + solution + action hook ▶️ Skin care product copywriting: "The redness and stinging of looking in the mirror at 2 a.m. (tactile) + the embarrassment of acne with a mask (visual) + 7 days to regain the courage to go bare-faced"

Meta-narrative killer: Let AI self-evaluate while writing tweets: “Why did you choose this title? How might users complain? How to optimize it?”

Programmers: A guide to doubling your development efficiency

Three-piece code generation: simple requirements → trust logic → autonomous optimization (manual warning: never teach AI to write recursion!)

DEBUG combination: error description + error log + tried solutions = AI directly gives the repair solution

Document automation: Use the "technical document processing" function to turn code into API documentation in seconds, and also generate annotated test cases

3. Exclusive for advanced players: Let AI “think” for you

 Knowledge awakening system:

Transforming fragmented experience into a systematic methodology

Cognitive trigger: Let the AI ​​ask, "What are the underlying assumptions of your solution?"

Experience mapping: Input past cases, and AI automatically extracts reusable strategy modules

Concept reorganization: Using CGS strategy to graft "live streaming + museum" into "immersive cultural relics promotion"