The problem: A SaaS company gets dozens of support emails every day. Billing questions, technical issues, account problems, urgent complaints — all landing in the same inbox. Someone reads each one manually, decides who handles it, and writes a reply. That's hours of work that adds zero value to the business. What I built: The moment a support email arrives, an AI agent reads it and classifies it into one of five categories — Billing, Technical, Account, Inquiry, or Urgent. Each category routes automatically to a dedicated Slack channel so the right team sees it instantly. At the same time the customer receives a personalized acknowledgment email written by AI, with the tone adjusted based on priority level. High priority tickets get an urgent empathetic response. Low priority gets a friendly brief reply. Everything gets logged to Google Sheets automatically. The result: Every customer gets an instant response that feels relevant to their specific issue. The support team only sees pre-sorted tickets ready to action. Nothing gets lost, nothing gets delayed. The classification logic was the most interesting part — instead of keyword matching or dropdowns, the AI reads the full email context and decides the category. It handles edge cases a simple filter never could. Tools: n8n, Google Gemini, Gmail, Slack, Google Sheets Happy to answer questions about the classification logic or how the Slack routing works.

I let AI burn through $100 by mistake. Yesterday I started creating a LinkedIn lead-gen automation. Instead of building it in n8n, I figured why not build it with Codex? So off I went, managed to build a copy of CLAY (GTM tool), and got the output I wanted. So I went ahead and told Codex, "hey, run this system on all the items." It starts running, 30 minutes passes by, another 30 minutes. 2 hours later, I start wondering "what is going on, it should not take this long to enrich the leads." So I start looking over my accounts. And lo and behold, Codex had managed to burn through my credits without producing any sort of results. So here I am now, 688 leads I need to run through again and enrich. I give up on letting AI write scripts and then having the AI run them. This is not even the first time it has happened, first time with Codex for sure. But I've tried running a similar idea with OpenRouter + Apify before. That burned through both accounts without creating any sort of results. So from here on out, I'll let the AI create the scripts for me. I'll then run the scripts myself, since that's way safer than letting an AI tool try to use the tools.

I built a fully automated AI real estate agent that works 24/7, handles enquiries, books viewings, and cancels and handles the full pipeline for you. It's a chatbot right on your website where leads will be able to chat with it and here's what it will do in real time: - Handle questions about listings, price, rooms, sqft, and even what the neighbourhood is like. - Shares available listings, gets the data from your website and saves it in its database. - Books the viewing on your calendar by collecting the customer's details. - Sends an email to confirm the meeting. - And cancels the meeting if the client happens to want to cancel. - Logs the full conversation between the AI and the customer, auto-updates the CRM in real time. Completely hands-free once it's set up and running, which means you convert more with less work. It won't miss enquiries or double book, so that you can book as many leads as possible at all times. And if you're eager to just watch it right now, you can just watch this video below when I run it. PS: I'll drop the full video of me building it in real time with Claude Code + n8n. But the video it's over 2 hours long 😂 and raw if I'm going to be frank 😅

I have my cold email on warmup as I type this and I've realised I've genuinely got no other outbound channel. I tried linkedin DM's but they limit your outbound on the free trial. Looking for alternative sources, thanks

Entrepreneur client. Small software company. Doing well. Told me: "I actually enjoy doing my own invoicing and bookkeeping." I showed them it was their most expensive hobby. THE DELEGATION DELUSION: Survey of 251 entrepreneurs: - 89% consider themselves "good delegators" - Average time on admin: 36% of work week (16.4 hours) My client fit this exactly. 40-hour work week: - Product development: 18 hours - Sales: 6 hours - Admin/operations: 16 hours But hourly value differed dramatically: - Product development: Creates $400/hour in value - Sales: Creates $300/hour in value - Admin: Creates $0/hour in value (necessary but not revenue-generating) THE OPPORTUNITY COST: 16 hours weekly on admin × 50 weeks = 800 hours annually If those 800 hours went to: - Product development: 800 × $400 = $320,000 potential value - Sales: 800 × $300 = $240,000 potential value Current state: $0 additional value (just maintaining operations) Lost opportunity: $240,000-$320,000 annually THE "I ENJOY IT" TRAP: Client said: "But I enjoy organizing receipts and updating QuickBooks. It's relaxing." My response: "That's a $64,000-per-year hobby. Most hobbies cost less." (Used average of product and sales value = $350/hour × 16 hours/week × 50 weeks / 4 = $64,000 quarterly) THE ADMIN AUDIT: Tracked 2 weeks of "admin time": - Creating invoices: 3 hours/week - Bookkeeping data entry: 4 hours/week - Receipt organization: 2 hours/week - Document filing: 2 hours/week - Email organization: 3 hours/week - Calendar management: 2 hours/week 95% could be automated. 5% required actual decisions. THE SOLUTION I BUILT: Operations automation stack: - Invoice generation automated - Receipt processing automated - Bookkeeping sync automated - Document filing automated - Email filtering automated - Calendar management templated Reduced 16 hours to 45 minutes weekly (decision-making only). THE RESISTANCE: Client initially resistant: "But I like having control. I like knowing everything."