Category

AI Tools

Use deterministic, private, browser-local helpers to plan prompts, count tokens, build message JSON, validate tool schemas, format eval data, and debug agent workflows without live LLM calls.

32 toolsNo signupBrowser-first

Estimate prompt size, cost, and context fit before a model run

Use this category when you need a quick result without opening a heavy app or creating an account.

Build OpenAI, Anthropic, Gemini, MCP, and tool schemas

Use this category when you need a quick result without opening a heavy app or creating an account.

Prepare prompt revisions, transcripts, RAG chunks, and eval datasets for agent debugging

Use this category when you need a quick result without opening a heavy app or creating an account.

Recommended paths

Useful ai workflows

Prompt sizing before a model run

Count tokens, estimate prompt cost, and check whether the request fits the model context window before sending anything to an LLM.

Token Counter Prompt Cost Calculator Context Window Calculator

Prompt debugging and safe escaping

Compare prompt revisions, improve structure, escape JSON payload text, and check token/context fit while keeping the work deterministic and local.

Prompt Optimizer Prompt Diff Tool System Prompt Formatter JSON Prompt Escaper Token Counter Context Window Calculator

Message JSON builders for providers

Generate valid OpenAI, Anthropic, or Gemini message JSON from the same prompt shape without calling those providers.

OpenAI Message JSON Builder Anthropic Message JSON Builder Gemini Message JSON Builder

Tool-calling contract workflow

Follow schema generation → definition conversion → validation: draft a deterministic tool schema, wrap an existing JSON Schema for providers, then validate fixtures before wiring an agent.

Tool Schema Generator JSON Schema to Tool Definition Tool Calling Validator MCP Config Generator

Structured output prompts and schemas

Choose a prompt-first structured-output draft when fields are still fluid, or a schema-first prompt binder when JSON Schema already defines the response contract.

Structured Output Prompt Builder Prompt Template Schema Builder JSON Schema Validator Schema Converter

Eval data and agent debugging context

Format JSONL eval data, trim logs, test RAG chunks, and prepare compact context for agent debugging sessions.

Eval Dataset JSONL Formatter RAG Chunking Strategy Tester Log Context Trimmer Context Window Calculator

RAG context preparation for agents

Clean Markdown, test RAG chunk sizes, trim noisy logs, count tokens, and confirm context-window fit before pasting retrieval context into an agent debugging session.

RAG Chunking Strategy Tester Log Context Trimmer Markdown Cleaner / Link Stripper Token Counter Context Window Calculator

How to use this category

Start with one of the highlighted tools, paste or enter only the data needed for the task, then copy the result into your own workflow. Each tool page explains its assumptions and limits where they matter.

Privacy and quality note

Most tools in this category run in the browser and are designed for fast utility work without accounts, uploads, or dark patterns.

Start here

Popular ai tools

Repair malformed JSON locally with an audit log.

Tool Calling Validator

Validate OpenAI, Anthropic, and agent tool calls against deterministic function-calling JSON structure.

Context Workbench

Repair, query, shrink, compare, and compose model context.

Estimate tokens, words, characters, and prompt size for GPT and Claude-style LLM prompts.

Directory

All ai tools

Repair malformed JSON locally with an audit log.

Tool Calling Validator

Validate OpenAI, Anthropic, and agent tool calls against deterministic function-calling JSON structure.

Context Workbench

Repair, query, shrink, compare, and compose model context.

Estimate tokens, words, characters, and prompt size for GPT and Claude-style LLM prompts.

Extract JSON with bounded path queries.

Reduce JSON with explicit truncation markers.

Prompt Optimizer

Improve clarity, structure, and effectiveness of AI prompts.

Few-shot Example Generator

Generate high-quality few-shot examples for AI prompts.

RAG Chunking Strategy Tester

Simulate different chunk sizes for RAG systems.

Multi-turn Conversation Simulator

Simulate multi-turn conversations with an AI agent.

Evaluation Rubric + Dataset Generator

Generate evaluation rubrics and sample datasets for LLM testing.

Prompt Cost Calculator

Estimate LLM API costs from input tokens, output tokens, model pricing, and request volume.

Context Window Calculator

Plan how much prompt, memory, tool output, and response budget fits in an LLM context window.

JSON Prompt Escaper

Escape prompts into JSON-safe strings and unescape JSON strings back into readable text.

OpenAI Message JSON Builder

Build valid OpenAI-style chat messages JSON from system, user, and assistant fields.

Anthropic Message JSON Builder

Build Anthropic Messages API JSON from system, user, and assistant fields.

Gemini Message JSON Builder

Build Gemini GenerateContent JSON from system instructions, user content, and model response examples.

Tool Schema Generator

Generate a JSON Schema-style function/tool definition from fields and descriptions.

JSON Schema to Tool Definition

Convert a pasted JSON Schema object into OpenAI or Anthropic tool definitions.

MCP Config Generator

Generate MCP server configuration JSON for stdio, HTTP, and environment-variable based servers.

Prompt Diff Tool

Compare two prompt versions and highlight added, removed, and changed lines.

System Prompt Formatter

Clean, structure, and format rough system prompts into consistent sections for agent instructions.

LLM Output Cleaner

Remove common AI wrappers, markdown fences, citations, and extra whitespace from pasted LLM output.

Markdown to Chat Messages

Convert a markdown transcript with role headings into chat messages JSON for LLM APIs.

Chat Transcript Formatter

Format messy chat logs into clean Markdown, JSON messages, or readable plain text.

Eval Dataset JSONL Formatter

Turn prompt, expected-answer, and split rows into eval JSONL examples for LLM and agent eval datasets.

Log Context Trimmer

Trim noisy logs into agent-ready context with token savings.

Prompt Template Library

Browse, customize, and copy reusable prompt templates for writing, coding, agent prompts, eval prompts, and analysis.

Prompt Variable Extractor

Extract and deduplicate prompt template variables from mustache, brace, JavaScript, and bracket placeholders.

Structured Output Prompt Builder

Build strict JSON-output prompts from a task, schema, examples, and validation rules.

Prompt Template Schema Builder

Bind a task, prompt schema, examples, and rules into an agent prompt schema for structured outputs.

Agent Planning Prompt Builder

Turn a goal, tool list, and constraints into an actionable agent planning prompt.

AI tools FAQ

Do AI tools call paid LLM APIs?

No. The current AI tools are deterministic, browser-local helpers and do not require paid model calls.

Why are these useful for agents?

They replace repetitive prompt, schema, context, and eval formatting work with private utilities that are easier to verify.

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