Im a teenager i just joined the ai community and hope to keep on growing with you all! So this is day 1

Been heads-down on this for a while with my friend Yashrajsinh Rathod, and we finally got it to a clean, tested state today — sharing here first before the wider launch. The problem: testing AI agents sucks. Every test run hits a real LLM API (slow, costs money, and the non-determinism means your CI is flaky by design). Most of the "agent observability" tools out there (Langfuse, Braintrust) solve this by having you send your traces to their cloud and run evals there. What we built instead: Fixtura — record your agent's actual tool calls once (with permission checking baked in), then replay that recording offline, as many times as you want, with zero live API calls. The recordings become literal test fixtures, like snapshot tests, that can gate your CI without touching a live LLM. It's local-first on purpose — your traces never leave your machine unless you want them to. Try it in about 30 seconds: pip install fixtura python quickstart.py GitHub: https://github.com/yash161004/fixtura-core Would genuinely love this community's eyes on it, especially if any of you are building agent products and dealing with flaky non-deterministic tests. What's your current testing setup look like — are you mocking LLM calls, or just eating the cost/latency of hitting the real thing every run? — Yashrajsinh Rathod & Meet Patel

Yesterday I shared the luxury real estate website I've been building. Today I completed the first end-to-end AI automation for the platform. Now, whenever someone submits the inquiry form, the system automatically: ✅ Receives the lead from the website ✅ Uses AI to qualify the lead ✅ Determines whether the inquiry is from a Buyer or Seller ✅ Generates AI insights and recommendations ✅ Stores everything in an Airtable CRM ✅ Continues the automation workflow for follow-ups One thing I learned today is about deployment. Right now, my n8n instance is running locally inside Docker Desktop and exposed using ngrok. It works perfectly for development, but if I shut down my laptop, the workflow stops because the webhook is no longer available. My next step is deploying n8n to a VPS or n8n Cloud so the automation can run 24/7 with a permanent webhook URL. You can explore the website here: https://gilded-horizon-properties.lovable.app I'd love your feedback on both the website and the automation architecture. If you've deployed n8n in production, what hosting setup has worked best for you? #AI #AIAutomation #n8n #OpenAI #Docker #BuildInPublic #RealEstate #CRM #Automation #AIAgents

Made a rule for myself today: No new tools for 7 days. Harder than I expected 😭 Every time I open X or Skool, there's: - a new AI model - a new agent framework - a new "must-have" tool And somehow they all look like the thing that'll solve everything. But honestly? Most of my progress this month came from using the same stack repeatedly. Not from switching. Tiny win today: Didn't add anything new. Just cleaned up an old workflow. Boring? Yes. Useful? Also yes.

I have build a lead generation automation which helps to get leads for the business owners which runs 4 times a day and get them more than 200 leads from google maps and also qualifies them. DM me if you want this to execute in your business to get more leads #aiautomation #agency #ai #leads