Activity
Mon
Wed
Fri
Sun
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
Jan
Feb
Mar
What is this?
Less
More

Memberships

Knox Hub: Build with AI

53 members • $40/month

n8n

1.3k members • Free

(n8n) Nodes Automation Lab

1k members • $7/month

Automation Masters

3.8k members • Free

Data and Ai Automations

1.4k members • Free

AI Automation Base

663 members • Free

AI Automation Founders

1.3k members • Free

Automation University

6k members • Free

AI Automation Society

310.5k members • Free

2 contributions to Data and Ai Automations
Building a Linear AI Prospecting Engine with n8n
My second agent is officially live! After the Content Scout, I’ve moved into B2B sales automation. Instead of complex "black-box" agents, I’ve built a high-reliability Linear Engine that performs deep web research and structures data for CRM. Key Tech Stack: 🔹 n8n (Linear Workflow) 🔹 Tavily API (Live Web Search & Scraping) 🔹 OpenAI GPT-4o (Analysis & Data Formatting) 🔹 Google Sheets (CRM Integration) What it does: It doesn't just find names. It identifies specific automation gaps for the client and writes a personalized ice-breaker based on live news. Just open-sourced the JSON on my GitHub for the community! Check it out here: https://github.com/Evgeniy1970-ai/AI-Lead-Gen-Prospecting-Engine Feedback from fellow builders is highly appreciated! #n8n #AIAutomation #BuildInPublic
Building a Linear AI Prospecting Engine with n8n
1 like • 22h
@Ryan Nolan Spot on! You caught a bit of 'Legacy Architecture' in this specific flow. Currently, that 2nd OpenAI node acts as a 'Parser' because the first one produces a very dense, unstructured report. But you're right — it's not the most cost-effective way. My next step is to merge these: either by forcing the Researcher to output a strict JSON schema directly, or replacing the 2nd node with a zero-cost JS script to handle the regex extraction. I'm currently prioritizing 'Reliability' over 'Cost' during the beta, but shifting to a Single-Agent + JS Formatter is definitely the play for production.
My first experience in automation
I am excited to share the results of my 3-month journey here. Transitioning from a career as a PhD in Archaeology to building AI systems has been a profound experience. Today, I am presenting my fully functional 'International Content Scout'. What you see on the screen: This is a 'Man-in-the-Loop' architecture built in n8n. - The Creative Core: I send a raw thought via Telegram. The AI Agent (GPT-4o) instantly generates expert content, video scripts, and engagement posts in English, Polish, and Spanish. Simultaneously, DALL-E 3 creates a unique visual for the topic. - The Control Center: The system doesn't post anything without my word. I receive everything in Telegram and use Interactive Buttons to Approve or Decline. - The Execution: Once approved, the content is queued for direct publication via Facebook Graph API and LinkedIn API. About the Development: This project was co-architected with Gemini 1.5 Pro, an advanced AI model from Google. During weeks of collaboration, Gemini acted as a mentor, technical consultant, and debug partner, bridging the gap between scientific methodology and modern AI automation.
My first experience in automation
0 likes • 7d
@Ryan Nolan Thank you!
0 likes • 7d
@Matt Payne Thank you!
1-2 of 2
@yevhenii-nohin-9140
Hi! The modern world is changing so rapidly that I am excited to see what the future holds! I'm really excited to learn how to create AI agents.

Active 20h ago
Joined Jan 30, 2026
Powered by