Hi everyone, this is my day 2 built. I was able to successfully scrape 10 jobs from a website. One thing I learned was that you can tell Claude to save everything globally so that it can just fetch it when I start another project. I can use the web scraping tool on a client if we were to ever have our first meeting, so that I would know about his business and I could expand on what he might need and where I can help the client.

Day 3 done! I met a business owner who will benefit from me providing what I created today.

This one's a little different, but I had fun putting it together. I hope you guys find it interesting! 100 Years of Artificial Intelligence Explained, and it starts with a 26-year-old building something in his parents' bedroom and a code that took an entire war to crack. I walk through the whole timeline: the two winters that nearly killed the field, the approach everyone wrote off as a dead end, and the single move that made a world champion walk away. This is 100 Years of Artificial Intelligence Explained, and honestly we're just getting started.

If you're building AI agents, I'd urge you to create a template for prompting. Two notable builds in the last month as proof: - I've built an AI agent that has handled over 9,000 emails - Another AI agent that's handling 25k customers. But here's the full setup: - A claude.md file that references a prompting guideline file, it tells Claude how to write prompts. - Once a prompt is approved, I write at the top "approved for production" which tells Claude that it should not make big changes. This makes sure that the prompt does not get destroyed by Claude. - Push the changes to my GitHub to keep track of all changes. This last part is where most people go wrong. When they see a mistake, they ask Claude to write an explicit rule to never do that again. The issue is that Claude will only look for that exact case, and if the next case doesn't match it, Claude will skip it. Instead, what I do is write mental models of the idea, what we're trying to do and why. When you do it this way, Claude has to use more reasoning to figure out which mental model makes sense. You're letting Claude think with some constraints. But this system has cut down my prompting time and also increased my reliability ten fold. And the thing is that I can use this wherever AI agents are used. Sales agent, customer service agent, any type of agent. Because the structure is the exact same every single time. Give me the agent and I'll make it reliable.

Looking for a sales partner 💰 I build AI calling receptionists for: 🏥 Medspas 🦷 Dental clinics 💈 Barbershops 💆 Beauty clinics The AI picks up calls and books appointments automatically — even at 2am. I just need someone to find the clients and close the deal. I handle everything else. You get 40% of every deal you close. One time per client. No cap on how many you close. 🔥 No tech knowledge needed. Just good communication and connections. I'll give you a full demo + script so closing is easy. Interested? Comment below or DM me 👇