Unpopular take: most people confuse "AI" with "automation" and it's costing them time. AI = pattern recognition. It takes input, finds patterns, gives output. ChatGPT answering your question = AI. An AI AGENT is different — it takes ACTION. "Send me my top customers" → it reads your data, analyzes it, writes a report, sends the email. No human needed in the loop. Once you separate these two ideas, you start seeing automation opportunities everywhere — every repetitive task someone complains about is a potential agent. Curious if others here are experimenting with agent's vs just using chatbots? what's your favourite tool to work with?

I’ve been thinking about a new SaaS direction and would love to hear how others see this. Until now, SEO was mostly: keyword → Google results → website click But more and more users are no longer only browsing classic search results. They are asking AI tools or Google AI-style answers things like: “Best restaurant in Berlin?”“Where can I buy Jordan sneakers?”“Compare product X vs product Y.”“Which hotel has parking and allows pets?”“Which option is the cheapest?”“Give me their phone number.”“Who has availability tonight?” The problem I see is that visibility is no longer just about ranking. The answer can change depending on: - the query - the user’s location - the language - the follow-up question - comparison intent - price intent - availability - reviews - attributes like parking, pet-friendly, vegan, open now, etc. For example: A user first asks: “Where can I buy Jordan sneakers in Berlin?” They get a few stores. Then they ask: “Where are they cheapest?” The answer may completely change. Then they ask: “Who has size 43 in stock?” Again, a different set of results may appear. The same applies to hotels, restaurants, SaaS products and local businesses. A brand may appear in the first AI answer, but disappear when the user asks about price, parking, comparison, availability, phone number, reviews, or specific features. That made me think about a possible new category: AI Answer Visibility / AI Decision Journey Tracking Instead of only measuring: “Does my website rank?” you measure: “Does AI keep recommending my brand throughout the user’s decision journey?” Possible visibility layers: - Discovery visibility - Comparison visibility - Price visibility - Availability visibility - Contact accuracy - Attribute coverage - Trust/review visibility - Conversion path visibility In other words: If a user starts with a broad query and then keeps asking more precise follow-up questions, the tool would show where a brand stays in the answer — and where it drops out.

Everyone wants an AI second brain, but almost nobody talks about the fact that there are different levels to building one, and the highest level isn't always the right one for you. In this video I break down all five levels of a Claude Code second brain, from a simple CLAUDE.md router all the way up to an always-on autonomous system, using my real Herk2 project as the example. The goal isn't to climb to level five. It's to find the lowest level that actually solves your pain so you stop re-explaining things and your agent always knows where to look.

Hey everyone, i'm Max! Thank you all for the nice welcome in your community so far. 😎 I'm looking forward to starting my second brain for organising my life, my uni stuff, my work and many things more. Many posts I've seen so far have a very nice vibe of helping each other out and getting better together. 😇 See you all in lively discussions and new learning opportunities 😍

I keep seeing click bait videos on youtube about people "turning Claude into a hedge fund," but I haven't seen anyone using it to create and manage algorithmic trading strategies/portfolios that weren't coded in a day. My algo trading has been largely theoretical with a lot of Tradestation Easy Language and quant connect python testing, but no live strategies. Do any of you have experience with this?