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Prompt Generator

Use AI assistance to draft and optimize system prompts, lowering the threshold for Agent design and improving iteration efficiency.

Feature Overview

The prompt generator helps you write structured system prompts faster. It is best suited for “drafting” and “optimization”, rather than fully replacing human judgment.

Use Cases

Suitable for:

  • Creating an Agent for the first time and not knowing how to organize prompts
  • Existing prompts producing unstable results and needing boundary restructuring
  • Quickly generating draft versions in different styles

Prerequisites

Before you start, we recommend preparing:

  • The goal description of the Agent
  • Target users and typical tasks
  • The output format and constraints you want it to follow

Steps

Step 1: Enter real requirements first, not vague goals

The more specific the requirements, the more usable the generated result. Try to clarify:

  • Role
  • Task
  • Output format
  • Prohibited items

Step 2: Use the generated result as a draft

Treat the generated result as the first version, not the final version. Manually supplement these key parts:

  • Business boundaries
  • Error handling methods
  • Terms and messaging consistency

Step 3: Return to Agent for real validation

After generation, you must put it back into the actual Agent for testing and observe:

  • Whether output is stable
  • Whether it is overconfident
  • Whether it can properly close the response when information is insufficient

Result Validation

When the prompt generator is truly valuable, it should show:

  • Faster drafting
  • More complete structure
  • Easier comparison of version differences during iteration

Value Description

Its value is lowering the starting threshold for writing prompts, but final quality still depends on human validation and business understanding.

Notes

  • Do not directly launch generated results as-is
  • For high-risk scenarios, humans must supplement boundaries and prohibition rules
  • The final evaluation standard is always actual test results, not how complete the prompt looks