Search blog posts, case studies, GitHub repo roundups, agent architecture notes, and practical AI automation guides.
Greg Isenberg examines the small-business succession wave and AI-enabled acquisitions. Separate the $5 trillion estimate from company-reported pilots, then see the shared-agent holdco workflow, human approval rule, and risks.
Greg Isenberg builds Studio Operator, an MVP for a one-person AI creative firm. Learn the operating model, honest unit economics, model-routing system, three service ideas, and download all six build prompts.
Andrew Warner and Achint Singh build an outbound AI voice workflow with GrokBot, ElevenLabs, Twilio, Netlify, and Attio. Here is the architecture, setup sequence, CRM handoff, testing plan, and compliance layer.
Separate Google aggregator and supplier requirements, then plan accurate local-business records, feed ownership, validation, and correction workflows.
FreeLLMAPI combines provider free tiers behind one local endpoint, with model routing, failover, coding-agent setup, media APIs, and important production limits.
Evaluate an AI-written creative brief against founder evidence, realistic scope, and unresolved decisions, with a worked example and a practical review rubric.
GPT-6 Astra builds a Japanese house in Blender while new releases reshape frontier models, open AI infrastructure, robotaxis, creative tools, and agent operations.
Andrew Warner and Corey Ganim review MicroDuck, agent infrastructure, AI-native app builders, skill marketplaces, and the controls needed before these tools touch real work.
Matt Wolfe covers Grok Bot, faster agent models, Claude autonomy, AI provenance, open video, and accessibility. Here is the source-checked builder guide.
Matt Wolfe built a 3D roguelite with Claude Code, then refined it with Codex. The useful lesson is where AI compressed implementation and where design, testing, balance, and judgment still dominated.
Corey Ganim demonstrates a Hyperagent workflow that finds overlooked local businesses, builds evidence-based preview sites, and tracks opportunities. Here is the controlled version worth testing.
Tristan Harris connects AI race incentives, agent misalignment, labor displacement, and the intelligence curse. Here is what the evidence supports.
Elon Musk predicts superhuman AI within five years and optional work within ten. A source-checked map of his claims on AI, China, jobs, governance, and Europe.
Sam Oh defines cited, mentioned, and absent AI visibility. This guide adds the mention-citation matrix, measurement caveats, and a practical audit.
Wes Roth's Qwen3.8 Max roundup rebuilt as an evidence audit: long-horizon agent results, benchmark limits, the confirmed COLDCARD RNG flaw, and the unproven AI-attribution claim.
Malva AI's Vheer tutorial rebuilt as a current guide to the real zero-credit image and video routes, prompt patterns, limits, commercial rights, privacy, and the paid Higgsfield alternative.
AI systems cannot represent a brand reliably when its basic facts conflict. Build a small, maintainable verification layer across the site and trusted external sources.
Schema markup clarifies entities and page meaning, but it cannot force AI citations. Treat it as semantic infrastructure inside a broader evidence system.
Theo examines Linus Torvalds' defense of AI-assisted Linux kernel review. Here is the primary-source context, what Sashiko's 53.6% result does and does not prove, and the accountable workflow open-source teams can copy.
Matt Wolfe reviews Claude Opus 5's split personality, Buzz's agent-native workspace, Nano Banana inside Google Earth, Meta's action-taking assistant, new creative tools, and the shift toward physical AI.
Greg Isenberg and Vinny tour Buzz, Block's open agent workspace. The real opportunity is portable team context across Claude Code, Codex, Goose, Git worktrees, workflows, and local compute, with important early-preview limits.
Claude can turn a narrated screen recording into a reusable skill. Here is what that changes, what Opus 5 adds, and a source-checked guide to the week's major AI releases.
Nate Herk demonstrates agentic AI for analytics, a small operations app, and lead research. Here is the evidence behind the job claims and a safer three-stage plan for becoming an effective AI manager.
James Dooley explains his testing-led SEO approach. This guide separates durable practices from high-risk tactics and turns the interview into a safer operating system for revenue pages, indexing, links, entities, proof, and AI search.
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