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AI Tools

Browse our free collection of ai tools. All tools run locally in your browser for maximum privacy.

4 Tools

AI Tools help developers work with large language models, prompt engineering, token counting, and AI protocol testing. Whether you are building with the Model Context Protocol, debugging prompt templates, or comparing model pricing, these tools make AI development more predictable and cost-effective.

Common Workflows & Recommended Tools

01

Count tokens for a prompt before sending to an LLM API

β†’ LLM Token Counter
02

Build and test a system prompt with structured sections

β†’ System Prompt Builder
03

Compare pricing across GPT-4o, Claude, and Gemini

β†’ LLM Comparison
04

Test an MCP server endpoint for protocol compliance

β†’ MCP Tester
05

Build a JSON schema for structured LLM output

β†’ LLM Schema Builder

Common Mistakes to Avoid

  • βœ—Estimating token counts by word count, different tokenizers produce different counts. Always use the model-specific tokenizer for accurate cost estimation.
  • βœ—Writing system prompts without versioning, prompt changes should be tracked like code, with diff and rollback capability.
  • βœ—Comparing model pricing without accounting for input vs output token price differences, output tokens are typically 2-4x more expensive.
  • βœ—Using prompt caching without understanding cache invalidation, stale cached prefixes can cause incorrect completions.

Privacy-First by Design

Prompt content and system instructions are often proprietary. All AI tools run client-side, your prompts, schemas, and system instructions never leave your browser.

Frequently Asked Questions

How accurate is the LLM token counter?

The counter uses model-specific tokenizer implementations (tiktoken for OpenAI, Anthropic's tokenizer for Claude). Counts match the actual API billing within 1-2 tokens.

What is the Model Context Protocol?

MCP is an open protocol by Anthropic for connecting AI models to external tools and data sources. It defines a standard JSON-RPC interface for tool invocation, resource access, and prompt management.

Can I use these tools with proprietary prompts?

Yes. All processing runs client-side. Your prompts, system instructions, and schemas never leave your browser.