Biggest challenge for e-commerce stores: Raw product images don’t sell. Customers want to see products on models and in real-life settings. So I built a UGC Image & Recreation Workflow (n8n + AI): - Form Submission → Client uploads any product image. - AI Image Analyzer → Detects and understands the product. - AI Agent (Gemini + Think) → Creates a smart prompt for recreation. - Image Recreation (API/Stable Diffusion) → Generates a new professional model-shot image. - Record Storage (Airtable/DB) → Saves original + recreated images + captions. ⚡ Outcome: ✅ Clients upload once → instantly get model-ready images. ✅ Campaign-ready creatives for ads, websites & social. ✅ Saves hours of manual design work.

ChatGPT and most AI tools answer using public internet data. But what if you want answers only from your own business or personal data? That’s where ✨ RAG Agents (Retrieval-Augmented Generation) step in. Here’s how I built one with n8n: - Trigger (Chat Message Received) → Listens for customer queries. - AI Agent (Google Gemini) → Core brain of the agent. - Vector Database (Pinecone) → Stores and retrieves your private data. - Embeddings (Google Gemini) → Converts data into searchable vectors. - Memory → Keeps chat context for natural conversations. ⚡ Outcome: Customer asks a question. RAG Agent fetches the most relevant info from your data. AI generates a precise, context-aware answer. If no private data is needed → it works like a normal chatbot. 💡 In short: RAG = Your Data + AI Power

🔥 Sending candidate outreach emails daily is time-consuming—especially when personalization is missing. So I built this workflow: 1️⃣ A daily trigger kicks things off automatically 2️⃣ Candidate data is pulled from Google Sheets 3️⃣ AI writes a personalized outreach email for each candidate 4️⃣ Emails are sent instantly via SMTP 5️⃣ Results are logged back in Google Sheets ⚡ Now outreach is personalized, consistent, and fully automated.

🔥 Scheduling interviews manually is painful—lots of back-and-forth emails, delays, and even double bookings. So I built a workflow to automate it: 1️⃣ Candidate shares their available times via a form/webhook 2️⃣ The system checks the recruiter’s Google Calendar 3️⃣ AI finds the best overlap 4️⃣ Calendar event is created instantly 5️⃣ Both sides get a confirmation email ⚡ In less than a minute, the interview is scheduled. Want to try this ?

Hello! I know most people on here are building a business and I totally respect that! But if you're not interested in marketing/sales/project management and just want a role in a growing AI Agency I wanted to post my job description and if it fits what you're looking for, please DM me so we can chat. Its a part time role 11am-3pm PST. What You’ll Do: - Build daily AI + automation workflows (Zapier, Make, n8n, APIs, scrapers, etc.). - Support client projects by turning requirements into working automations. - Deliver internal builds that we can turn into content for marketing. - Document every workflow clearly with Loom videos and written notes. - Report progress daily inside our project management system. - Track hours and tasks using Time Doctor to ensure accountability. Requirements: - Proven experience with no-code/low-code automation tools (Zapier, Make, n8n). - Solid understanding of APIs, webhooks, and AI integrations (OpenAI, LangChain, etc.). - Strong English communication skills and attention to detail. - Available consistently during 11AM–3PM PST, Monday through Friday. - Comfortable with time tracking (Time Doctor) and daily reporting. Nice to Have: - Experience with scrapers (Apify, BrowserFlow). - Familiarity with CRMs (HubSpot, GoHighLevel, Airtable, etc.). - Interest in AI agents and advanced automation. Compensation: Hourly rate, tracked with Time Doctor. Please include your best proposal. Thank you! Tadi 🥳