We hit our first $50k month by doing the OPPOSITE of what most AI founders do. I actively cut: - Multiple tools and products - Chasing the latest model or framework - Building before validating - Content before clients Just ONE offer. Built on 20 years of domain expertise. Sold to ONE audience. Delivered with AI. That's it. The AI founder trap is thinking the tech is the hard part. It's not. The hard part is knowing WHAT to build, WHO to sell it to, and HOW to close them. AI just compresses the execution. You still have to do the fundamentals: → Validate the problem → Build a repeatable sales process → Deliver results → THEN scale with AI So if you're spinning up new agents every week but have no paying clients yet... Stop. Pick one problem you've solved 100 times in your career. Build one offer around it. Get one client. Then let AI help you do it 10x faster. The path is simpler than the AI hype makes it look.

Just shared a technical deep dive on parallel AI agent execution using Superset. Key technical points covered: • Agent isolation and conflict prevention • Workspace management for concurrent agents • Real-world coordination patterns • Scaling considerations for multi-agent systems This addresses a common challenge in agent development - how do you run multiple specialized agents without them interfering with each other's work? Superset handles the orchestration layer, letting you focus on agent logic rather than coordination complexity. Full walkthrough: https://www.youtube.com/watch?v=3MBdCX9fSxI Would love to hear about other approaches people are using for multi-agent coordination. #AIAgents #Development #Architecture

Travis Kalanick got publicly fired from the company he built. 100+ headlines a day. Lawsuits. Board betrayal. The most brutal CEO exit in tech history. His response? He didn't go on a podcast revenge tour. He didn't write a book about "what really happened." He didn't tweet. He said: "I gotta wake up every day and just get to work and build." So he disappeared. For 8 years. He built an AI robotics company with thousands of employees — and made them ALL sign agreements not to put the company name on LinkedIn. Named it "City Storage Systems" so nobody would even bother Googling it. His reasoning? When you remove the fame incentive, something interesting happens. You attract people who actually want to BUILD — not people who want to be seen building. His exact words: "You build a culture of people that want to build and do not need to be famous when they do it, which basically means emotional intelligence." Let that sink in for a second. Stealth = emotional intelligence filter. In a world where everyone's posting their "day 1" launch tweets and resharing GPT wrappers for clout — the real builders are heads down. Quiet. Solving actual problems. That's the real flex. Not the launch post. Not the "just hit $10K MRR" screenshot. Not the followers. It's the person who keeps building when nobody's watching. When there's no likes. When it's Tuesday night and you're debugging an API and nobody knows and cares. That's the founder DNA that actually compounds. The loudest people in AI right now are mostly resharing GPT wrappers and posting engagement bait. The ones who are going to win? They're heads down. Quiet. Solving a real problem for a real person. Not trying to be famous — trying to be useful. 8 years of silence. Then he showed the world what he built. You don't need 8 years. But you might need 8 weeks of shutting out the noise and just building. Full interview here — worth the watch: What are you working on that nobody knows about yet? 👇

Just put together a full tutorial on DeerFlow 2.0 — ByteDance's open-source multi-agent framework that does deep research for you. It uses sub-agents, sandboxes, memory, and tools to autonomously research any topic, analyze data, and even generate artifacts like slides and web pages. Setup took me about 3 minutes. In the video I walk through the full installation, run a live research demo on trending AI tools on GitHub, and show you what DeerFlow actually outputs. Full video here: https://www.youtube.com/watch?v=R22HnnwN4U4 Resources: GitHub: https://github.com/bytedance/deer-flow Website: https://deerflow.tech/ What would you use an autonomous research agent for?

Hello! Welcome to the AI Agents Accelerator. This Skool is designed to support AI entrepreneurs in building and launching monetizable AI products. While some members have achieved significant results, outcomes depend on individual effort, execution, and market conditions. Start by checking out these links - Classroom - Roadmap - Community Practices - Apply to join the AI Product Accelerator To kick things off, please comment below introducing yourself. Let us know: 1. Your name 2. What project you're currently focused on 3. Share your recent or upcoming vacation destination See you in the comments!