Structured System Prompt Generator

Build structured AI system prompts with Role, Context, Task, Constraints, and Output Format fields.

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Ключевые особенности и гарантия конфиденциальности

  • ✓ 100% выполнение в браузере: Ваши данные никогда не покидают устройство и не отправляются на удалённые серверы.
  • ✓ Мгновенный результат в реальном времени: Нулевая сетевая задержка, пересчёт при вводе и быстрое копирование.
  • ✓ Бесплатно и без ограничений навсегда: Без регистрации, без платных тарифов и без дневных лимитов.
  • ✓ Соответствие стандартам: Разработано строго по стандартам RFC, ISO и спецификациям W3C.

Build professional AI system prompts for ChatGPT & Claude

Define AI agent personas, provide background context, specify strict rules, and control output formatting for consistent LLM responses.

Технические характеристики и архитектура

Execution Environment:
100% Client-Side Browser Sandbox
Data Privacy:
Zero Server Storage / No Tracking
Processing Speed:
Real-time local CPU execution
Cross-Platform:
Works on Windows, macOS, Linux, iOS & Android

Prompt Engineering & Token Estimation Engine

LLM utilities evaluate prompt lengths, structure system instructions, and calculate approximate token counts based on byte-pair encoding (BPE) algorithms used by OpenAI, Anthropic, and Google models. This helps prevent token budget overflows and optimizes monthly API expenditure.

1

Provide Input

Enter, paste, or upload your data into the input field above.

2

Configure & Process

The tool immediately processes your input in real time according to your chosen settings.

3

Copy or Save

Use the Copy button to copy the output to your clipboard, or download the result to your device.

Заметка для разработчика: Counting tokens before calling expensive LLM APIs prevents unexpected bill spikes and truncated model responses.

Популярные сценарии использования

  • Create system prompts for developer assistants, coding agents, and content writers
  • Establish strict guardrails and formatting rules for AI API integrations
  • Build instruction sets for Custom GPTs and Claude AI Assistants

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Связанные инструменты и следующие шаги

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Prompt Token Counter

Count characters, words, and estimate tokens for LLM prompts. Useful for OpenAI, Claude, and other AI APIs.

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LLM JSON Extractor

Extract JSON from LLM responses. Parse code blocks and clean malformed JSON from AI output.

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MCP Tool Schema Generator

Generate Model Context Protocol (MCP) tool definitions. Create name, description, and inputSchema JSON for MCP servers.

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Другие Инструменты для ИИ и LLM

Prompt Token Counter

Count characters, words, and estimate tokens for LLM prompts. Useful for OpenAI, Claude, and other AI APIs.

LLM JSON Extractor

Extract JSON from LLM responses. Parse code blocks and clean malformed JSON from AI output.

MCP Tool Schema Generator

Generate Model Context Protocol (MCP) tool definitions. Create name, description, and inputSchema JSON for MCP servers.

MCP Config Formatter

Format and validate MCP server configuration (mcp.json). Pretty-print and check structure for Cursor, Claude, and other MCP clients.

llms.txt Generator

Generate llms.txt for your website. Creates AI-readable discovery file with name, summary, contact, and services. Spec 1.1.1 compatible.

Prompt Template Builder

Build prompts with {{variable}} placeholders. Fill in values and preview. For reusable AI prompts.

System Prompt Generator

Generate system prompts for LLMs. Role, task, constraints, output format. For ChatGPT, Claude, etc.

Few-Shot Prompt Builder

Build few-shot prompts with input-output examples. Structure examples for in-context learning.

Часто задаваемые вопросы

What is a system prompt?
A system prompt is an initial instruction set given to an LLM to establish its persona, behavioral boundaries, expertise level, and response format.
Why is structured prompt engineering important?
Structuring prompts with clear Role, Task, Constraints, and Formatting prevents AI hallucinations and ensures predictable, production-ready outputs.
Can I use these prompts for Custom GPTs and Claude Projects?
Yes — the generated Markdown prompts are fully compatible with Custom GPT Instructions, Claude System Prompts, and LangChain/LlamaIndex agents.