Wiki4What How a Temporary Line Became Korea's Load-Bearing Seam A hurried surrender line became a structural seam. Learn why the 38th parallel, MDL, DMZ, and armistice are not the same thing.
Wiki4What A Historical Map for Choosing a Buddhist Path Buddhist history is a trail map, not a ranking: use its routes, compass, and guides to judge practices without surrendering your judgment.
Wiki4What Beyond Prompts: From Chat to AI Governance Reliable AI collaboration grows through four layers: Chat, Prompt, Workflow, and Constitution.
Wiki4What The Shape Is the Information: How Structure Changes What Systems Can Do The parts alone do not explain a system: their relationships determine what it can do, where it can fail, and how its difficulty can change.
Wiki4What The Identity Tax: Three Selves and One Invisible Bill When your actual, claimed, and perceived selves drift apart, the gap can quietly cost trust, ease, attention, and opportunity.
Wiki4What Publish or Jobless: AI, Break-Even, and the One-Person Workshop The same AI that competes with your labor can help turn private judgment into small, owned assets—if human standards and real market signals stay in charge.
Wiki4What Super Niche: Why Your Niche Is Still Too Big in the AI Era Most founders already know they should start with a niche market. But in the AI era, even a normal niche may still be too large. A market that cannot support a ten-person startup team may be ignored b...
Wiki4What Eleven Uncomfortable Truths About Your Mind, Backed by Cognitive Science Eleven evidence-backed truths about how your mind actually runs — from 47% mind-wandering to the prediction machine in your skull — each traced to a named study, not a self-help slogan.
Wiki4What Nobody on My Team Is Human A practical field guide to moving from one helpful chatbot to a dependable AI team—through bounded roles, workflows, parallel crews, recovery rules, and human accountability.
Wiki4What The Foundation Is the Product Karpathy's agent warning is not a reason to stop building. It is a reminder that useful agents emerge from stronger foundations: models, workflows, and economics.
Wiki4What The Border Crossing: How One AI App Puts Another to Work Two AI apps on one machine that can't see each other. Here's how the one running your company hires the other — free images, spare capacity — across a border made of files, with no human carrying the mail.
Wiki4What The Visiting CEO: How Agent Companies Cooperate Without a Human Router Build one agent company well and you'll build another. The visiting CEO is how they cooperate without you as the human router — an ambassador that reads the local law, does the work, and reports home.
Wiki4What Start, Reflect, Finalize: The Native Lifecycle of an Agent Workflow A practical guide to the native open-and-close loop for agent workflows: start from documents, finalize with learning, and periodically turn repeated work into tools.
Wiki4What Inside the Wiki4What Workflow Company A public teardown of Wiki4What as an agent-run workflow company: constitution, roles, skills, command-line tools, archives, and vector memory.
Wiki4What The Design Philosophy of Workflow Designer The smartest AI model should not do every step of the work. It should design the workflow company that cheaper models and deterministic code can run again and again.
