Building with AI gets easier every month. Landing the bigger clients doesn't. Because the moment you pitch a growing company, the questions change. - Legal asks how you're handling data governance. - Finance asks what it costs to run at scale. - Procurement asks how they know it'll work reliably. Most builders don't have those answers. And that's where the deal dies. So we built a program to fix it. -> ANNOUNCING: A certification for AI builders who want bigger clients It's called the Certified AI Consultant program. Over 10 weeks, it teaches the 7 skills bigger companies actually pay for: scoping, pricing, governance, evals, AI economics, and more. Then you earn the credential through a graded portfolio and a live interview with my team. It's already working. Reidar, from our first cohort, closed a $75,000 contract with a global engineering company using what he learned. Cohort 2 starts November 2nd, and it's capped at 50 seats. Let me know if you have any questions. Talk soon, Nate

SEO is evolving beyond traditional search engines. As AI-powered search, large language models, and generative answers reshape how people discover information, visibility requires a broader strategy. From Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) to structured data, citations, and brand authority, understanding these emerging concepts is becoming increasingly important. The future of SEO is not just about ranking pages — it’s about becoming a trusted, visible source across the AI-driven web. The shift is already happening. Are you optimizing for the future of search, or still playing by yesterday’s rules? Explore the AI SEO landscape, rethink your strategy, and start building your brand’s visibility across both traditional and AI-powered search.

How would you optimize AI agents for speed and cost while a workflow grow? Share your thoughts... with 💚

What does OpenRouter actually solve when an AI workflow grows? 💡 In my latest article I write about "The routing layer in AI" to show what & where model routing, fallback, caching, and token costs fit and what the application still needs to control. 🔗 Read it here: OpenRouter for AI Workflows

What if a game remembered not just what happened, but the choices and consequences behind it? Discover how Synthara evolved from Qdrant-powered character memories to CLiF (Continual Learning from Full-Stack Trajectories), a system that learns from structured gameplay trajectories. 💡 📃 Read the article and download Synthara source code 🔴 What do you think entertainment will look like when stories can remember our choices and adapt to us—will that make them more meaningful, or less surprising?