Hey everyone! I'm Santiago, an economist from Spain who has made the transition into AI automation. My background is in accounting and finance, which means I don't just build automations — I understand the business processes and ROI behind them. Over the past months I've been fully focused on learning and building: n8n workflows, AI chatbots, and end-to-end automation systems. I've put together a portfolio with my profile and some sample automations if you want to see what I've been working on: 🔗 santiagoqf-portfolio.lovable.app What I can help with: → n8n workflow automation → AI chatbots & conversational systems → Process analysis & automation strategy → Finance / accounting process automation I'm actively looking for freelance projects, part-time collaborations, or a co-founder to build something in the AI space. I'm also very open to feedback, advice, or just connecting with people doing interesting things here. Still learning and improving every day — any tips from people working hands-on in this space are genuinely welcome. Feel free to connect with me on LinkedIn too: 🔗 linkedin.com/in/santiago-querol-fraile Looking forward to being part of the community! 🙌

I am happy to share my Day4 challenge, a fully automated lead generation system that finds dental practice leads across 38 cities in Northern France and saves them directly into an Airtable CRM How it works Step 1: Scheduled Search (every Monday at 7am) Step 2: Parallel Contact Extraction Step 3 — Duplicate Check Step 4 — Save to Airtable CRM First run results - 284 dental practices found across 38 cities - Leads landing directly in Airtable, ready for outreach

Howdy all! Just sharing that I am super excited I have build my first automation and super happy ! It was very very simple but I am a super happy with it Onwards and upwards 🚀👉🏼

I am building an AI native restaurant management OS and one of the AI automation use cases I thought to try was to automate the creation of weekly blog posts to build up my SEO - and man what a feeling this was! Here's how it works, every Monday, it kicks off a 6-stage agent sequence: 1. Researcher Agent — generates keyword candidates, pulls live Google SERP data (serper.dev), picks the best opportunity, and drafts an outline 2. Writer Agent — writes a 1,400-word post in our brand voice, with hard guardrails against competitor mentions and clichéd phrasing 3. SEO Optimizer Agent — generates meta title, description, schema markup, and internal link suggestions automatically 4. Illustrator Agent — plans and generates custom images using GPT Image, uploads them to storage. This is the area that I think needs most work because the images generated are very much AI looking. 5. Compiler Agent — splices the images into the article and renders the final HTML 6. Publisher Agent — goes live At 3 points in the pipeline (brief, draft, final), I get an email with an approve/reject link (served by Resend). One click either advances the post or kills the run. The whole thing runs on pg_cron in Postgres. One SQL line schedules the entire weekly content operation. One post per week, basically on autopilot. Now could this be done simpler? Probably, but I wanted to try out the agent hand-offs and human in the loop. Also this was built on Supabase Edge Functions not Claude routines. If you're curious to look at the output here is a link https://www.withbagel.com/blog

Let's get to know each other! Comment below sharing where you are in the world, a career goal you have, and something you like to do for fun. 😊