Tutorials
Step-by-step tutorials for adding AI text humanization to your stack. Code examples, workflow templates, and integration patterns.
n8n
Wire ToHuman into any n8n workflow with the HTTP Request node. Three complete workflows: basic API call, full AI-to-CMS blog pipeline, and async batch processing with webhook callbacks.
API
A complete guide to the ToHuman API — code examples in Python, Node.js, and curl, batch processing patterns, WordPress and CMS integration recipes, and a comparison of why API access matters.
Make.com
Use the HTTP module to call the ToHuman API from any Make.com trigger — Google Sheets, RSS feeds, email, or schedule. Four complete scenarios including async webhook processing for long-form content.
Zapier
Use Webhooks by Zapier to call the ToHuman API from any trigger — Google Sheets, Notion, Airtable, or schedule. Three complete Zaps including a multi-step OpenAI pipeline and Paths for routing different content types.
LangChain
Build a LangChain custom tool using the @tool decorator that calls the ToHuman API. Covers create_react_agent and AgentExecutor patterns, plus a full generate-humanize-publish pipeline for batch content workflows.
CrewAI
Build a CrewAI custom tool that calls the ToHuman API. Covers the @tool decorator and BaseTool class, a dedicated Humanizer agent, and a full Writer-Humanizer crew pipeline with batch processing.
MCP
Create a Model Context Protocol server that exposes a humanize_text tool via the ToHuman API. Works with Claude Desktop, Cursor, and any MCP-compatible client. Full Python code with FastMCP.
AutoGen
Build a Microsoft AutoGen 0.4+ three-agent pipeline — Writer, Humanizer, Publisher — using RoundRobinGroupChat. Registers ToHuman as an async tool, supports Azure OpenAI, and includes batch processing patterns.