Three days ago, a recommendation for DeepSeek I posted unexpectedly went viral.
In just 72 hours, it garnered over 70,000 views, gained more than 1,000 followers, and attracted 11 business collaboration inquiries.

However, what I didn’t expect was:
I received help requests from over 50 readers, almost all facing similar issues:




Seeing this feedback, I really couldn’t sit still.
I originally planned to write this advanced guide after the New Year.
But I know too well what everyone is missing out on.
It’s like watching a group of people using Dongfeng missiles to fish, yet complaining that the splashes aren’t big enough.
So, I decided to release this “DeepSeek Guide” ahead of time.
Why publish it before the Spring Festival?
Because by the time you finish watching the Spring Festival Gala and study it,
the first batch of people leveraging DeepSeek’s true value will have already seized the opportunities in your industry.
Yes, the free DeepSeek has already caught up with the $200 per month ChatGPT-01, and in some aspects, it has even surpassed it.
It’s like the moment the J-20 fighter jet took to the skies in 2011 —
we no longer have to kneel to use AI.
Note: All techniques in this article come from real cases, and all prompts have been repeatedly verified.
1. The Most Important Secret: Throw Away Your Prompt Templates
If you are still using various “professional prompts” and “templates”, you are heading in the wrong direction.
DeepSeek simply does not work this way.
Why?
Because its core is a reasoning-based large model, not an instruction-based large model.
It’s like two interns:
-
One nerd who needs you to meticulously arrange the task steps. (Instruction-based) -
One clever kid who can think independently as long as you explain the purpose. (Reasoning-based)
Let me illustrate with a real case,
A colleague in our community conducted a real test for analyzing the new energy industry, preparing for negotiations with BYD suppliers.
Traditional Approach:
Please act as a new energy industry analyst and analyze according to the following steps:
1. Market size
2. Competitive landscape
3. Technical routes
4. Future trends
Requirements: 800 words for each section, cite authoritative data...
Result: A dry report that looks like it was generated by AI.

Correct Approach:
I have a negotiation with BYD's suppliers next week, but I know nothing about power batteries. Please explain in the simplest terms:
1. What are their technical advantages?
2. How much might they charge?
3. What professional terms can I use during the negotiation?
The focus is on making it understandable for me, so I can sound knowledgeable.
Result: DeepSeek provides a grounded analysis, complete with negotiation phrases.

This is the biggest difference:
DeepSeek does not require you to write “professional prompts”,
What it needs are real scenarios and specific needs.
Here’s a universal formula for you:
❝
I want xx, to be used for xx, hoping to achieve xx effect, but worried about xx issue…
It’s like talking to a smart subordinate:
-
Don’t say “Please write the weekly report according to the STAR method”
-
Instead, say:
❝
I need to write a weekly report for my boss to review on Monday, focusing on xxx, the key is to make our department look impressive in front of the boss, overshadowing the neighboring R&D department, but I’m worried that the R&D team might question our product documentation for lacking detail…