If you’re feeling overwhelmed in the AI space right now, that’s completely normal. I feel behind every single day. Things are moving insanely fast. Andrej Karpathy recently tweeted that he’s never felt this behind as a programmer. And this is someone who was the Director of AI at Tesla, a founding member of OpenAI, and one of the most respected people in the field. So if one of the leading voices in AI feels behind, you should not feel bad at all for feeling the same way. As we kick off the new year, just a reminder to focus on building simple systems for yourself, keep learning, keep experimenting, and keep moving forward. Don’t let the overwhelm stop you. Consistent progress always beats trying to keep up with everything. You’re in the right place. Cheers, Nate

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1. Start earlier. You're ready enough. 2. Fail faster. Every failure is a lesson. 3. Ask for help. No one figures this out alone. 4. Save more. Financial runway = freedom to take risks. 5. Health first. You can't build anything if you're broken. 6. People matter. Business is relationships. 7. Enjoy the journey. The destination keeps moving. I'm writing this at 32, and I hope 42-year-old me has learned more than this version. What would you tell your younger self, and which of these do you agree with most?

Enterprise sales can be slow. Sometimes 3-6+ months So I always build a Trojan horse. One free feature that: - Solves a real problem - Doesn't require approval - Spreads organically within teams People use it. Love it. Tell colleagues. Then when they need the full solution, we're already in. Land and expand. But the landing needs to be free and valuable. What's can be your trojan horse?

If 2023–2024 was the era of chatbots, 2025–2026 is solidifying as the era of agents: systems that not only respond but also plan, call tools, use long-form context, and act on your behalf. This is evident in Gemini 3, Grok 4.1, the new GPTs, and the "Agent Skills" standards being developed by labs like Anthropic. ⚙️ What changes for entrepreneurs and developers? - From "chat to answer questions" → to "agent that executes complete workflows": integrates APIs, updates databases, sends emails, schedules calls, etc. - From “one model does it all” → to architectures where you combine large models, small models, and specialized tools (scraping, RPA, n8n, CRMs, etc.). 💡 Concrete product/automation ideas you can build in this new context: - B2B prospecting agent: an agent that finds leads, enriches data, prepares personalized messages, and triggers sequences (Skool, email, WhatsApp), using LLM + n8n + data APIs. - Internal agent for real estate agencies: connected to WhatsApp, CRM, and Google Sheets, that answers questions, schedules visits, and updates statuses in real time without human intervention. - “Anti-AI slop” content agent: with clear rules to avoid low-quality content, using quality models and filters to maintain brand tone and depth in your posts. 🤖 What agent have you designed, and how has it helped you or your clients? 👇👇