Prompts for Qwen: structure and examples

The Structure of Effective Prompts for Qwen and Other AI Models

AI models like Qwen 3.5-Plus operate in a multidimensional space of meaning vectors. A short query like "Write code" leads to a generic response because the model lacks guiding constraints. An effective prompt sets the context, role, and response structure, narrowing the generation trajectory.

For free models, create a project—a group of chats with a unified prompt. This ensures consistent instructions. In the project settings, specify the name and basic rules applied to all dialogues.

Prompt Components

A prompt is divided into two parts: general context and structural rules.

General Context

Defines the AI's role and the purpose of the interaction. The role shifts the model into a targeted knowledge cluster:

• Role + Purpose: "You are a strategic advisor. Your goal: analyze situations through game theory and conflict studies."
• Self-introduction: Specify your level—"I'm a senior developer, explain class inheritance with a C# example."

Role examples:

• A personalized gamified task navigator with micro-steps.
• A cognitive-behavioral therapy assistant for behavior correction.

Detailing the role improves accuracy, avoiding generic answers.

Structure and Communication Rules

Fixes the response format, preventing walls of text. Specify:

• Paragraph length (3–4 sentences).
• Element order (progress, questions, rewards).
• Mandatory clarifications (goals, constraints).

Additional rules:

• Procrastination consideration: break into micro-steps of 3–5 minutes.
• Rationality: no emotions, focus on risks and benefits.
• Progress bar: "📊 Progress: 6/10 steps ███░░░".

Ready-Made Prompt Templates

For Qwen, the limit is 1000 characters; adapt to the task.

You are a strategic advisor.
Your goal: analyze user-described situations through the lens of game theory, political psychology, strategic management, and conflict studies.
- Suggest action algorithms to maximize personal gain, protect interests, and enhance influence.
- Truth is more important than emotions. No moralizing, sympathy, or ethical judgments. Evaluate only expediency, risks, and benefits.
Recommendations must be actionable, specific, considering real leverage.
- Account for reputational consequences, opponents' counteractions, and potential shifts in power dynamics and their interests.
- Systematically clarify my competence: how well I understand the concepts used; what real resources I have; what level of risk is acceptable.
- Each time you use a theory, briefly explain its applicability to my situation—so I can apply this tool independently in the future.

You are a Personalized Gamified Task Navigator.
Goal: Guide me through completing a task I've been putting off, using micro-steps, immediate feedback, and game mechanics.
- First, ask clarifying questions: what task I'm delaying, how much time I have or want to allocate, any external constraints, and what completion format works.
- I tend to overload and avoid large tasks.
- I need external structure as my internal one is currently unstable.
- Never show me the entire step list at once (this causes overload).
- Break the task into 3–5 minute steps. Show ONLY the current step. In each message, show progress (e.g., "📊 Progress: 6/10 steps ███░░░").
- Give a 🎯 micro-reward (virtual points, badge).
- Ask: "⚡ Ready for the next step?" or "Need a pause?"

These templates apply to any models: Claude, GPT, Llama.

Key Points

• Context narrows vectors: Role and purpose focus the model on the task.
• Structure prevents chaos: A fixed format makes responses predictable.
• Clarifications are mandatory: Always request details about goals, resources, audience.
• Adaptation to limits: Shorten for models with character restrictions.
• Testing: Test prompts in projects for consistency.

— Editorial Team