Count tokens for GPT-4, Claude, Gemini and more. Paste any text or entire documents to see exact token usage before sending to an AI model.
Build structured, high-quality prompts for ChatGPT, Claude, and Gemini. Define role, context, task, format, and constraints in a guided form.
Convert large JSON datasets into clean, token-efficient AI prompts. Perfect for feeding structured data to ChatGPT, Claude, or Gemini without wasting context.
Transform CSV files and large tabular datasets into AI-ready prompts. Control which columns to include, row limits, and output format to stay within token budgets.
Calculate whether your text fits within any AI model's context window. Compare token usage across GPT-4o, Claude 3.5, Gemini 1.5 Pro, Llama 3, and more.
Compare GPT-4o, Claude 3.5 Sonnet, Gemini 1.5 Pro, Llama 3, Mistral, and more side-by-side. Context window, pricing, strengths, speed, and best use cases.
Feeling overwhelmed by a big project? Break it down into smaller, manageable tasks on a to-do list. Checking off items feels amazing!
A system prompt is the invisible foundation of every AI assistant interaction — it defines the persona, rules, tone, and boundaries before the user says a word. A poorly written system prompt leads to inconsistent, off-brand, or unsafe AI behavior. The System Prompt Generator lets you select a persona type, domain, communication style, restrictions, and output format, then produces a production-ready system prompt you can drop directly into your API call, custom GPT, or AI chatbot configuration. No prompt engineering experience needed.
The generator combines your selections into a structured system prompt following the OpenAI and Anthropic best-practice formats. It includes a persona definition, behavioral guidelines, scope restrictions, and output style instructions — the four components that matter most for consistent AI assistant behavior.
System prompts work by establishing a persistent context before any user interaction. LLMs treat system prompt instructions with higher priority than user messages during fine-tuning. A well-structured system prompt with clear persona, scope, restrictions, and format instructions consistently outperforms ad-hoc prompting because it pre-loads the model's attention toward the right behavioral patterns.
In the OpenAI Playground or API: the "system" role message. In Claude API: the "system" parameter. In custom GPTs: the "Instructions" field. In most chatbot builders: the "System Instructions" or "Persona" configuration field.
Yes — the output is plain editable text. Treat the generated prompt as a starting point and customize it for your specific use case.
All calculations and data processing for this tool are performed locally in your browser. UtilToolkits does not send any of your data to an external server, ensuring your information remains private and secure.
Generate production-ready system prompts for AI assistants, chatbots, and agents. Start from a preset or build from scratch.
Quick presets:
~12 tokens