Structure DeepSeek tasks with the CRISPE framework

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Using DeepSeek-V4 (including its dual-model V4-Flash/Pro architecture) as the example model, this guide systematically explains prompting methodology across scenarios such as writing web fiction, creating Xiaohongshu posts, writing video-editing scripts, and programming.

Why DeepSeek-V4 is a good model for demonstrating prompting

Three keywords: fast, affordable, and long-context

• Fast: Dual-model architecture—complex tasks automatically switch to Pro mode for intensive work, while simple tasks switch to Flash mode and return an answer instantly, with no manual selection

• Affordable: One million output Tokens cost about 2 yuan; writing a full-length novel costs less than a cup of milk tea, while some top overseas models cost more than seven times as much

• Long-context: A 1-million-Token context window lets you throw in three copies of The Three-Body Problem at once; when writing long-form web fiction, it will not forget the earlier plot threads or established character personalities even after 300,000 Chinese characters

• Its Chinese writing ability can go head-to-head with the most expensive overseas models; it is fully open source, with zero copyright risk for commercial use

Core principle: From “giving orders” to “signing a contract”—the CRISPE framework

A prompt is not the simple “role + task + constraints” formula. It is a “creative contract” you sign with AI:

• C (role, Capacity): Who should it play? Do not just write “a writer”; write “a writer skilled at writing rural literature in Yu Hua’s restrained style”

• R (request, Request): What should it do? Do not write “write a story”; write “continue this chapter for 3,000 Chinese characters, and it must include a twist in the protagonist’s background”

• I (background, Insight): Provide all relevant context. Dump the previous text, character settings, and worldbuilding outline in all at once—the million-Token brain of V4 is made for this

• S (requirements, Specifics): Define clear limits and boundaries, such as “Do not use any modern technology terms” and “Each dialogue segment must be no more than three lines”

• P (style, Personality): Tone, prose style, and pacing, such as “Keep it conversational, like chatting with a friend; don’t sound stiff”

• E (experiment, Experiment): Should it provide multiple versions? Add a sentence such as “Please provide three completely different plot directions”

Once you are comfortable with this framework, every prompt becomes a contract that leaves little room for ambiguity, making it difficult for AI to go off track.

Advanced move: Let AI “choose its own role”

You do not need to guess at a role yourself. Just tell AI what you want to do and in what field, then let it match the most suitable expert in the world from its knowledge base.

Example (cushioned running-shoe copy):

• Conventional approach: “You are a copywriting expert. Help me write a running-shoe ad.”

• Advanced approach: “I am writing marketing copy for a premium running shoe known for its ‘stepping-on-poop feel,’ aimed at beginner runners. Choose the expert in the world who best understands how to sell sports equipment to beginners, and write from that expert’s perspective.”

Applicability notes

• This guide is based on DeepSeek-V4’s capabilities as of June 2026 (dual modes, a 1M context window, and low pricing); the prompt templates work for both V4-Flash and V4-Pro

• The statement “one million output Tokens costs about two yuan” corresponds to Flash-tier pricing and is consistent with the official 0731 pricing (1 yuan per million input tokens / 2 yuan per million output tokens)