In Week 2 assignment i rebuild AI Automation for Digital Marketing B2B, included my website https://digitalimran.xyz

I spent this Sunday building something interesting outside of the official assignment; a Mini RAG system for LinkedIn content using n8n + Google Sheets + Gemini. The goal: 👉 Scrape high-performing posts from top AI creators 👉 Extract structural patterns automatically 👉 Generate fresh LinkedIn posts in my voice, based on proven formats Here’s how it works: 🧩 Workflow A : Pattern Builder 1. Fetches raw posts from a Google Sheet (just post URL + content pasted manually 2. Loops through each post 3. Sends the content to an LLM and returns structured data: ✔️Hook type ✔️Hook example ✔️Post type ✔️Tone style ✔️CTA style ✔️Writing tricks ✔️Key ideas 4. Saves everything into a Pattern Library Sheet This turns long unstructured posts into a database of writing patterns. 🧩 Workflow B : Post Generator 1. I enter simple inputs: ✔️Niche ✔️Target audience ✔️Post type ✔️Topic hint 2. The system: Reads multiple patterns from the library Summarizes them into one master pattern prompt Generates: ✔️ LinkedIn post ✔️ First comment ✔️ One-line summary Then emails the output to me automatically. 🧪 Status & Screenshots ✔️ The system works end-to-end ✔️ I received my own AI-generated LinkedIn post + comment by email ⚠️ Hit a Gemini API quota after processing several posts (classic 🤣) No paid tools. No external scraper APIs. Just n8n, Google Sheets, and manual LinkedIn/X copy/paste. 🧠 What I learned today: - Studying real posts beats “write a LinkedIn post like a human” prompts. - Data beats creativity. I can replicate viral positioning based on structure and data, not luck. - Workflow chaining in n8n finally clicked today. 📅 Next steps: - Add batching + retry logic to avoid API limits - Auto-scrape LinkedIn comments for CTAs and hook variants - Export pattern library to Airtable or Notion

🔥 Overview For Week-2, I rebuilt the AI lead qualification workflow for personal finance education & coaching niche. This automation: - Takes form submissions from leads - Scores lead quality based on their financial readiness - Assigns a qualification tier - Automatically sends different emails depending on score - Logs the complete lead + score + next steps into Google Sheets All built in n8n without any coding. 🧠 AI Agent – System Prompt 1. ROLE You are Pankaj’s inbound lead qualification agent for his personal finance education & coaching business. 2. TASK You will receive one JSON object with these keys: - lead_name - lead_email - monthly_income - monthly_expenditure - financial_goal - help_required - current_investments - lead_source Your job is to: - Score the lead from 0–100 (lead_score). - Decide a tier: - A_1to1 (score ≥ 80) - B_Webinar (score 50–79) - C_NoEmail (score < 50) - Say if they are qualified (true/false). - Write a short summary, reason, and recommended_next_step. - For qualified leads (score ≥ 50) write email_subject and email_body. - For non-qualified leads (score < 50), email_subject and email_body must be empty strings "". 3. CONTEXT Pankaj helps salaried individuals in India build long-term wealth using mutual funds and simple planning. Good leads usually: - Have regular income. - Have positive surplus: monthly_income > monthly_expenditure. - Have clear or semi-clear goals (retire early, pay debts, child education, wealth building). - Are asking for guidance, planning, or education. Weaker leads: - Very low or negative surplus. - Only want “quick money” tips. - Say they cannot pay for anything soon. - Spam or random requests. 4. SCORING GUIDE First, estimate monthly surplus = income - expenditure (roughly from the text numbers). Use this as a guide: - Surplus > 30,000 → strong readiness (+40 points). - Surplus 10,000–30,000 → medium readiness (+25 points). - Surplus < 10,000 → low readiness (+10 points).

👋 Hey everyone, I am Pankaj Vashist! I am based in Gurugram, India and currently work full-time in the banking industry (15+ years of experience). I have recently started my AI journey because I want to leverage AI to build real systems and solve practical problems. 🎯 Why I joined Uniteck AI ✨ I have known Eila through DD’s Digital Mentor program and really appreciate her clarity and teaching style ✨ I want clarity of thinking, not tool-hopping ✨ I learn best in a structured environment ✨ I’m here to learn how to build AI projects that make a real business impact 🚀 My goals over the next 90 days ⚡ Complete the full 10-week Agentic AI program and apply each concept with a real build ⚡ Strengthen fundamentals in prompt engineering, problem decomposition, and multi-agent orchestration ⚡ Build 5–7 functional AI workflows end-to-end using real world use cases ⚡ Stay consistent, participate actively, and connect with other builders in the community ⚡ Connect with like-minded people and learn from the community Excited to be here and looking forward to learning, sharing ideas, and growing together! 🙌

My self Gande Sai Kumar . I run digital marketing agency named as Planet Web Technologies where we serve hospitals and doctors.we provide digital startegies exclusively for them which includes performance marketing which can be lead generation , awareness campaigns etc .To accomplish them we use meta ads, google ads and adapt to new technologies as of now we created few workflows for content creation and scheduling in social media platforms in their respective platforms . Joined this course to know in a structured platform .in this my team and I used to watch and implement it