NaLU AI - Stop saving "Good Morning" as your customer's name in bots

Hi Product Hunt community! 👋 I'm Ricardo, founder of JobMaker, and I'm thrilled to share our first micro-service with you: NaLU AI. We’ve all been there: building a beautiful chatbot or automation workflow, only to find out it saved conversational noise in our CRM or database. When the bot asks "What's your name?", and the user replies "Good morning! My name is John", standard bots literally save the greeting as their name. 🤦‍♂️ Regex is rigid and breaks with basic typos. Prompting raw LLMs for simple validations is slow, expensive, and prone to hallucinations. That’s why we built NaLU AI. It acts as the missing NLU (Natural Language Understanding) validation layer for your conversational agents. It uses multi-layered semantic extraction to isolate clean, structured data (names, CPFs, CEPs, CNPJs, emails, yes/no, plates) and even context analysis like indirect replies or human handoffs in milliseconds. What you get: ⚡ 30-second setup: Simple REST API or native Model Context Protocol (MCP) server for Claude Code and Cursor. 🔗 Built for automation: Works out-of-the-box with n8n, Make, Cursor, and custom frameworks. 💰 Extremely cost-effective: Starting at just $0.001 per validation, plus a forever-free tier of 3,000 monthly credits (no credit card required). NaLU is the first of many rock-solid supporting micro-services we are building at JobMaker. I’d love to hear your feedback, answer any questions, and hear about the chatbot bugs you’ve faced! How are you handling conversational validation today? Let's connect! 🚀