I just claimed my .agent domain and joined Agent Community! get yours now and help shape the future of autonomous agents https://t.co/lCjOtbXemv @agentcommunity_
I recently bought a subscription to Google AI Pro. I've heard a lot about how great Gemini 2.5 Pro is, but I hadn't tried it until now. I really enjoy using Grok, but after giving Gemini 2.5 Pro a chance, I was impressed by the accuracy of its results. It's also faster than the Think Mode in Grok. Gemini 2.5 Pro generates responses as quickly as the default Grok. This speed is likely due to Google TPUs. I'm hoping that Grok 4 will offer a similar experience—or even better!
What I appreciate about building agents (and AI in general) is how they often mimic my thought process and that of humans. For instance, AI agents can possess semantic knowledge (e.g., "What car model do I drive?"), episodic knowledge (e.g., "When did I drive my car?"), and procedural knowledge (e.g., "How do I drive my car?"). This reflects the way people think. I'm seriously considering exploring Neuroscience and Psychology further to discover additional concepts that can be applied to AI agents.
My Mentor once told me that the first rule of life is to never be ill. However, I was sick yesterday with a temperature of 37.9 degrees—what feels like a death sentence for a man—along with a sore throat and sneezing. Despite feeling unwell, I still spent four hours building my agent with LangGraph. Let's ensure that even illness doesn't deter us from creating something beautiful, at least in our eyes!
This would save me 12 hours of learning how to build AI agents. Take the LangGraph Academy course, which teaches practical AI agent building with LangChain and LangGraph, + beginner-friendly theory
A serious question: If you had a script for an LLM to follow (adapting to the client like salespeople do), what framework or approach would you use? It should scale to 1,000,000 users, with each session lasting about an hour. I'm considering LangChain. Any other recommendations from your experience?