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Changelog

A log of every change to this wiki, newest first, grouped by month. Each page shows up here when it is added (New), every time it is edited (Updated), and when it is deleted (Removed). Each row shows the date, the section, the title, and the one-line description from frontmatter.

Dates and changes are derived from git history (renames followed). Changes that have not been committed yet will not appear here.

This is the full version of the "recent changes" list on the home page.

June 2026

  • New 2026-06-11 (Foundations) What a Transformed Company Looks Like: The destination of AI transformation: a business that knows its own state in real time, flags its own improvement opportunities, and routes leadership energy to the highest-leverage decisions.
  • New 2026-06-11 (Perspectives) Inertia and Chaos: Why Transformations Stall: Every performance gap has one of two causes: people following rules that outlived their reason, or people ignoring rules that work. They need opposite fixes, and almost nobody runs the test that tells them apart.
  • Updated 2026-06-11 (Perspectives) Three Questions to Ask Before AI Transformation: Most AI projects fail not because the technology didn't work but because the rules built around the old limitation stayed in place. Goldratt's framework gives you the gate.
  • Updated 2026-06-11 (Concept) Data Is Not Actionable Signal: A well-designed business system flags one-off opportunities for leadership: the bottleneck forming, the drift, the opening. Most companies have data everywhere and that signal nowhere.
  • New 2026-06-11 (Concept) Data Is Not Actionable Signal: A well-designed business system flags one-off opportunities for leadership: the bottleneck forming, the drift, the opening. Most companies have data everywhere and that signal nowhere.
  • Removed 2026-06-11 (Concept) Data Is Not Information: Collecting data is not the same as being able to act on it. Most companies are data-rich and decision-poor, and AI only pays once that gap is closed.
  • Updated 2026-06-11 (Concept) AI Transformation Is Digital Transformation, Accelerated: Digital transformation has been the goal for decades: make data the primary commodity in your business so you can continuously improve it. AI didn't change the destination. It changed how fast you can get there, and how high the ceiling goes.
  • Updated 2026-06-11 (Perspectives) Your Business Is an Object Model Whether You Know It or Not: Before you strategize, before you transform, before you add AI to anything, you need to know what your business actually is. Not what you think it is. What it is. That means defining its objects.
  • Updated 2026-06-11 (Superpowers) 2026 06 10 Wiki Illustrations
  • Updated 2026-06-11 (Superpowers) 2026 06 10 Wiki Article Illustrations Design
  • Updated 2026-06-11 (Foundations) Why AI Now Sets Your Ceiling: AI has become a variable that shapes what a company is worth, which means a serious operation now means more than clean books: it means AI wired into how the work actually gets done.
  • Updated 2026-06-11 (Foundations) What AI Transformation Actually Is: AI transformation is the process of progressively automating your business by weaving reasoning steps into processes that previously required a human — so your best people get freed from the loops they were only in because there was no alternative.
  • Updated 2026-06-11 (Perspectives) AI Now Decides What You're Worth: What you do with AI is now the single biggest swing factor on what your company is worth, and pretending otherwise quietly compresses your value while you feel prudent.
  • Updated 2026-06-11 (Perspectives) Not Every Company Needs AI: AI transformation is not a universal imperative. Some companies have more foundational work to do first, and forcing AI on the wrong business wastes capital and erodes what already works.
  • New 2026-06-11 (Perspectives) Three Questions to Ask Before AI Transformation: Most AI projects fail not because the technology didn't work but because the rules built around the old limitation stayed in place. Goldratt's framework gives you the gate.
  • Updated 2026-06-11 (Concept) SOPs as an Asset: Documented processes turn one person's knowledge into property the company owns, and they are what let your AI act on how the work actually gets done.
  • Updated 2026-06-11 (Foundations) What AI Transformation Actually Is: AI transformation is the process of progressively automating your business by weaving reasoning steps into processes that previously required a human — so your best people get freed from the loops they were only in because there was no alternative.
  • Updated 2026-06-11 (Perspectives) AI Now Decides What You're Worth: What you do with AI is now the single biggest swing factor on what your company is worth, and pretending otherwise quietly compresses your value while you feel prudent.
  • Updated 2026-06-11 (Perspectives) Transformation Done Wrong Breaks What Works: Rushed, fear-driven AI transformation can destroy the trust and competence a company already has. Teams are right to be skeptical, and a clumsy rollout can sabotage what was working.
  • Updated 2026-06-11 (Foundations) What AI Transformation Actually Is: AI transformation is the process of progressively automating your business by weaving reasoning steps into processes that previously required a human — so your best people get freed from the loops they were only in because there was no alternative.
  • New 2026-06-11 (Concept) The Seat Wrapper: A seat wrapper is an AI system scoped to one role — not one person. It encodes the repeatable work of a function so the person filling the seat can spend their hours on the work only they can do.
  • New 2026-06-11 (Concept) Agent Opportunity Analysis: Going function by function and sorting work into what to automate, what people should keep doing, and what should become an AI system, each ranked by ROI.
  • New 2026-06-11 (Concept) Data Is Not Information: Collecting data is not the same as being able to act on it. Most companies are data-rich and decision-poor, and AI only pays once that gap is closed.
  • New 2026-06-11 (Concept) AI Transformation Is Digital Transformation, Accelerated: Digital transformation has been the goal for decades: make data the primary commodity in your business so you can continuously improve it. AI didn't change the destination. It changed how fast you can get there, and how high the ceiling goes.
  • New 2026-06-11 (Concept) Documentation Equals Transferability: Getting the business out of the founder's head and into documented systems is what makes it transferable, and is also the precondition for any useful AI.
  • New 2026-06-11 (Concept) Own the Substrate: Renting capability through closed APIs means the reasoning surface under your business can change without notice. Real ownership means controlling the weights, prompts, version, and runtime.
  • New 2026-06-11 (Concept) Owner Dependence: A business that cannot run without one specific person is fragile and worth less, and in the AI era the same trap applies to leverage that lives in one head.
  • New 2026-06-11 (Concept) Service as Software: The shift from selling human time to delivering outcomes at software economics — and why the same VC firms that funded OpenAI and Anthropic are now buying property managers, accounting firms, and HOA companies.
  • New 2026-06-11 (Concept) SOPs as an Asset: Documented processes turn one person's knowledge into property the company owns, and they are what let your AI act on how the work actually gets done.
  • New 2026-06-11 (Concept) The Agentic Business Blueprint: A complete, documented map of how your company runs today plus an ROI-ranked plan to upgrade it: the artifact you should have before you spend a dollar on AI transformation.
  • New 2026-06-11 (Concept) The AI Valuation Premium: The documented gap between what buyers pay for AI-embedded private companies and everyone else, and why it is widening.
  • New 2026-06-11 (Concept) The Compounding Organization: A business where every cycle of AI use feeds back into the next — capturing knowledge, reducing human input over time, improving output quality, and expanding scale — because every person is continuously moving up to higher-leverage work.
  • New 2026-06-11 (Concept) The Organizational Truth Repo: A machine-readable, version-controlled source of truth for a company that makes its own AI generate on-brand, company-aware work instead of slop.
  • New 2026-06-11 (Concept) The Transformation Flood: Every laid-off engineer and agency is now an AI transformation expert, and owners are flooded with pitches they cannot evaluate, price, or justify.
  • New 2026-06-11 (Foundations) Glossary: An A-to-Z of the AI-transformation vocabulary used across aitransformation.wiki.
  • New 2026-06-11 (Foundations) What AI Transformation Actually Is: AI transformation is the process of progressively automating your business by weaving reasoning steps into processes that previously required a human — so your best people get freed from the loops they were only in because there was no alternative.
  • New 2026-06-11 (Foundations) Why AI Now Sets Your Ceiling: AI has become a variable that shapes what a company is worth, which means a serious operation now means more than clean books: it means AI wired into how the work actually gets done.
  • New 2026-06-11 (Perspectives) AI Now Decides What You're Worth: What you do with AI is now the single biggest swing factor on what your company is worth, and pretending otherwise quietly compresses your value while you feel prudent.
  • New 2026-06-11 (Perspectives) AI Psychosis in the C-Suite: The biggest AI mistakes are made by leaders too far from the work to evaluate it, leaning on tools built to agree with them. Decisions made from fear and hype age badly.
  • New 2026-06-11 (Perspectives) Build a Business That Can Run Without You: Owner dependence is the real cap on what a company is worth, and in the AI era the same trap applies to leverage that lives in one person's head instead of the process.
  • New 2026-06-11 (Perspectives) Get Clarity Before You Transform: Do not hire a transformation partner until you have a ranked, ROI-backed map of what is actually worth doing, because clarity first makes every dollar defensible.
  • New 2026-06-11 (Perspectives) How to Document Your SOPs in the Age of AI: The fastest, most useful way to write down how your company runs, and why doing it now does double duty: it makes the business transferable and it gives your AI something true to act on.
  • New 2026-06-11 (Perspectives) Transformation Done Wrong Breaks What Works: Rushed, fear-driven AI transformation can destroy the trust and competence a company already has. Teams are right to be skeptical, and a clumsy rollout can sabotage what was working.
  • New 2026-06-11 (Perspectives) How to Choose a Transformation Partner: A buyer's guide to surviving the flood of AI transformation partners: what good looks like, the red flags, the questions to ask, and how to make the spend defensible.
  • New 2026-06-11 (Perspectives) Not Every Company Needs AI: AI transformation is not a universal imperative. Some companies have more foundational work to do first, and forcing AI on the wrong business wastes capital and erodes what already works.
  • New 2026-06-11 (Perspectives) There Is No Templated Transformation: AI's value shows up in a solution built for your specific business, not in a dashboard or a template. Finding it takes real discovery, which is what the Agentic Business Blueprint is for.
  • New 2026-06-11 (Perspectives) Your Business Is an Object Model Whether You Know It or Not: Before you strategize, before you transform, before you add AI to anything, you need to know what your business actually is. Not what you think it is. What it is. That means defining its objects.
  • New 2026-06-11 (Sources) Big Tech CEOs and AI Psychosis (House of El): A computer scientist's breakdown of Aaron Levie's 'AI psychosis' diagnosis: why the leaders making the biggest AI bets are the least equipped to evaluate them, and how LLM sycophancy industrializes the yes-man problem.
  • New 2026-06-11 (Sources) Why Companies Regret Firing Everyone for AI (Dutt): A video essay on the firing-and-rehiring whiplash of the AI boom: how oversold benchmarks led companies to cut staff for AI, and why so many quietly hired them back.
  • New 2026-06-11 (Superpowers) 2026 06 10 Wiki Illustrations
  • New 2026-06-11 (Superpowers) 2026 06 10 Wiki Article Illustrations Design