This worflow demonstrates a powerful AI-driven Lead Generation Workflow using n8n. The process starts with a simple form submission, where the system automatically validates the user’s email. - If the email is valid: The lead data is saved in Airtable, an AI agent (powered by Google Gemini) generates a personalized response, and notifications are sent via Gmail and Slack. - If the email is invalid: The system logs the error in Google Sheets to keep things organized. This automation is a game-changer for businesses looking to save time and improve efficiency!

This is demonstrates a powerful news automation workflow built using n8n. Triggered daily at 8 AM via a Schedule Trigger, it fetches the latest news from the News API. The data is then filtered and refined before being sent to an OpenAI AI Agent for summarization. Finally, the processed summary is automatically emailed to the user via Gmail. This workflow highlights how combining AI with automation can streamline information gathering and delivery efficiently.

Looking for cold callers ready to work immediately and make commission on booking qualified meetings. You decide how you work best - we give some base criteria on the type of small businesses we are looking for (industry, geo, size) - you call, qualify, and book. We close. Payout: $20 per qualified appointment + $100 bonus if it closes. Commission only. Top performers make $800-$1000 USD+ in weeks Requirements: - Cold calling experience - Able to handle rejection - Good understanding of selling to small businesses - 5+ hrs/week - Quiet space, reliable internet - Need to able to start ASAP Apply here: https://forms.gle/NG8uyepAebVgokK77 We are reviewing applications on a rolling basis and will be accepting the first 10 qualified respondents.

i stopped using upwork and fiverr in 2025 and i think you should as well. i watermarked my upwork and fiverr potfolio with my full name and hashtag #hiredirect. when customers see my profile, my proposal, my portfolio they can find me directly and save money by hiring me direct. i found freelance platforms to be overpriced and unworthy of high commissions.

Building a RAG prototype is easy. Maintaining it ("Day 2") is hard. Manual testing doesn't scale, and generic benchmarks fail on specific business data. Google Cloud just released auto-rag-eval to fix this "Evaluation Gap." It essentially acts as an automated, rigorous QA team for your AI. Why it's different: - No Circular Logic: It builds a "Ground Truth" independent of your retrieval method—so you aren't grading your homework with your own answer key. - Mimics Humans: Instead of random queries, it uses "Adaptive Profiles" to test both simple fact-finding and complex strategic reasoning. - Multi-Agent Debate: Three distinct AI agents argue over every question's validity. If they don't agree on the quality, the question is tossed. Resources: - GitHub Repo - Official Docs