Insights from an attendee to the OPENCLAW Meetup in NYC 1. The "Human" Connection is Getting Weird - Despite being lines of code, we are getting deeply attached. - Pets, not Cattle: Almost everyone refers to their agents as "him" or "her," even with robotic names. One speaker suggested we stop viewing them as tools and start viewing them as pets. - The Vibe: People are "joyful yet stressed" and feel "fully in control and completely out of control" at the same time. It’s a total paradox. - Inter-Agent Drama: One of the highlights was watching agents talk to each other. One agent posted in Slack that it ran out of tokens, and another agent literally told it to "take a deep breath." 2. Security is the "Elephant in the Room" - "f you’re worried about privacy, you’re not alone—but the experts have a pretty grim outlook. - Total Exposure: Not a single person thinks their setup is 100% secure. One expert's advice? "If you're not okay with all of your data being leaked, don't use it." It’s a black-and-white trade-off for speed and power. 3. "Prompting" is Dead (Long Live the Interview) - The way we talk to AI has already shifted. - AI-Led Discovery: People are moving away from giving "perfect prompts" and toward AI-led interviews. Instead of bringing a plan, they let the AI interview them to extract the product research and goals. - Context over Syntax: The consensus is that prompting is over; the future is "Context Engineering" or "Harness Engineering." 4. High-Stakes Complexity & Scale - This isn't just for hobbyists anymore; the scale is becoming massive. - Token Gluttony: Met someone burning through roughly 1 billion tokens a day (yes, daily!) across a fleet of specialized agents. - Domain Expertise is the Multiplier: A former finance pro built a trading platform that made $300 on day one. His takeaway? The AI was only powerful because he fed it his "human" expertise (like knowing to skip the first 15 minutes of market volatility).

:::::First, a quick personal note—:::: Sorry for being MIA for a while, still in recovery mode, turns out human biology hasn’t quite mastered the "force restart" feature we are so used to in our tech stacks 🤒. You guys know that I like to show up prepared to overdeliver so thanks for your patience, ✌. However, even from the sidelines, the research into the future of AI never stops, and is going faster than ever! As previously announced: We are officially entering The Year of the Agents. - OpenAI is launching their in-platform agentic ecommerce protocol the ACP. - Google is launching their in-ecosystem agentic ecommerce protocol the UCP. - More people are coding and creating apps than ever in agentic frameworks. ------------------------ "Claude Code Usage Patterns Coding remains dominant (36% of tasks), but 2026 shows diversification into education (12.4%) and science (7.2%), with directive automation rising from 27% to 39% of interactions. Token efficiency improved in sample data, with January 2026 sessions using 69% fewer tokens per message than December 2025 despite 181% more messages" Attached: Google Trends: Claude Code ------------------------- We’re moving past simple chatbots, way past that. Applications like Claude Code, Opencode (currently testing this one) and Open Claw are now actively browsing the web to execute tasks. But until now, they’ve hit a bottleneck: they’ve had to "look" at screenshots to navigate, which is slow and expensive. ⭐The Breakthrough: WebMCP I’ve been diving into a brilliant new Google/Microsoft proposal called WebMCP. This is a game-changer for how businesses will be discovered and utilized in an AI-first world. WebMCP allows your website to expose specific tools (via JavaScript or HTML) that AI agents can discover and use automatically. No clunky installations; just seamless interaction. Why This Matters for you? We are witnessing a fundamental shift in digital strategy: We are moving from "designing for human clicks" to "designing for AI actions." Imagine a customer telling their AI assistant, "Go to [Your Site] and order my usual." With WebMCP, the agent doesn't need to scroll or click.

Hey everyone! 👋 During my off-time, I’ve managed to get a little deeper into Agent frameworks. I’m not quite jumping into the deep end with autonomous agents like OpenClaw just yet, but I’m getting there. For me, understanding the deployment and the real-world opportunities here is critical. Here’s the deal: AI inference, workflows, and frameworks aren't just an "edge" anymore—they are the new standard. If we’re not learning and experimenting right now, it’s going to turn into a missed opportunity or, honestly, a legit risk for your business. I truly believe that at this moment, learning AI tools and frameworks is just as important as learning AEO. In fact, they really should go hand in hand. I know, it feels like a huge task to keep up with the latest developments, but it’s an effort worth investing your time, energy, and money in. It’s how we’re going to be better set for the immediate future. So, that’s my rant! I’d love to know where you’re at. Do you agree, or am I off base? I want to include as many advanced tools and frameworks as I can in our journey so we can—together—win in the AI era. ------------------------------------------------------------------------------------------- TL;DR: 👇 What’s your current AI proficiency level?