AI Won't First Take Your Job. It Will Take Your Execution Layer.
A companion essay on why AI's near-term impact may first appear as compressed execution work, narrower entry-level paths, and weaker labor leverage.
ai-workflow
15 public items tagged ai-workflow.
AI's Impact on Ordinary Work Is Not Eight Years Away
A personal essay on why a real issue-driven AI delivery workflow changed my timeline for AI's impact on ordinary work from eight to ten years to three to five.
Central KB, Project Directories, and Publication Nodes
Defines what the central knowledge base, project directories, and publication node each own, and why a single vault template is not enough for fact governance.
AI Glossary for Ordinary People
Series appendix, long-term maintained. Only entries that ordinary people will encounter and that affect their choices or safety boundaries. Each entry under 250 words. When products change, update facts first without rewriting series positions.
Web, App, Client, IDE, CLI — What Is the Difference
The same AI capability in a different interface can do completely different things. A phone app is best for quick questions, a web chat for writing, a desktop client for local materials, and CLI is best for turning one directory into an AI workstation.
Foreign Models, Accounts, Networks, and Real-World Limits
"Most advanced" does not equal "most suitable for ordinary people to use reliably." Different regions, account types, phone numbers, payment methods, and network conditions affect which tools you can actually use. The best combination for ordinary people is one that reliably gets things done.
AI Tools Actually Come in Four Types
You do not need to memorize a list of product names. ChatGPT, Claude, Codex, Perplexity, Kimi — they are all essentially four types of tools: conversational, search, generative, and action. Know the four types and you will not get lost in product names.
Your Personal AI Workbench
You do not need to become an AI expert first, and you do not need to learn a pile of jargon. What ordinary people really need to practice is describing goals, boundaries, and acceptance criteria clearly. One command-line window where you type plain English and an AI does the work.
The Minimum AI Glossary
Only explains the terms that affect ordinary people's choices and safety boundaries. Each term in three sentences: one plain-language explanation, one scenario, one suggestion. No academic definitions, no jargon explaining jargon.
My Minimum AI Workbench
Wrapping up the series with a copyable personal workflow configuration. One stable computer, one project directory, one command-line AI tool, one confirmation habit — this is the foundation for ordinary people using AI for real work.
Ten Things Ordinary People Can Do with AI Right Away
Ground abstract capabilities into real life and work. Ten categories of things ordinary people can complete with AI today — each with a concrete scenario and a copyable prompt.
When Not to Use AI
Establishing safety boundaries so this series does not read like advertising. Do not casually upload ID cards, bank cards, or complete family privacy details. Do not let AI make medical, legal, or investment decisions for you. Letting AI do work does not mean handing over your judgment.
Why I Think One Command-Line Window Is All You Need
CLI is not advanced — it is the cleanest entry point: no buttons to navigate, just one question — what do you want to do? Ordinary people do not need to learn a full software workflow first. They just need to state the goal and let AI guide them through the rest.
Why Ordinary People Can Use CLI Too
We start not from cd, npm, or git theory, but from one real scene: create a folder, open Codex, type one complete goal. Codex will guide you through the entire process. You only need to confirm at key moments.
Build your own independent site with Codex
A beginner-friendly guide for creators, families, engineers, and non-programmers who want a durable home on the web.