Hey friends,

Last week, we talked about why the neurodivergent community has been ahead of the AI curve for years. (Edition 328: "The World Just Woke Up.")

This weekend, I want to get practical. Because being ahead only matters if you know how to stay there.

Google published a whitepaper called Context Engineering: Sessions, Memory

It is 72 pages of diagrams and code written for developers building AI systems.

When I read it, I kept thinking the same thing I thought reading Shumer's post:

They just gave an enterprise name to something this community has been doing by instinct.

The paper describes how to give AI the right information so it stops hallucinating and starts working like a real partner. How to build what they call a "single source of truth" for your AI.

That is what we are building today. Not in code. In practice. For your life and your business.

This might sound harsh, but most of the time AI makes things up, it is because you did not give it what it needed.

That is not a criticism. It is a design problem. And it is fixable.

Every time you start a new conversation, the AI knows nothing about you. Your business, your goals, your voice, your brain. Nothing. So it fills in the blanks with its best guess.

That is what a hallucination is. Not the AI lying. The AI improvising because you gave it nothing real to work with.

Every time you type "write me a marketing email" without telling it who you are, who your audience is, and how you sound, you are asking it to guess. Then you are surprised when it sounds generic.

The fix is not a better AI model. The fix is better context.

Google calls it Context Engineering: giving your AI the right information so it actually helps instead of guessing. They break it into two pieces.

Sessions are individual conversations. Temporary. When the chat ends, the AI forgets everything.

Memory is what persists across those sessions. The facts, preferences, and patterns that make the AI feel like it knows you. The stuff that turns a chatbot into a partner.

They use an analogy I love. A session is a workbench covered in tools while you are working. Everything is out and accessible, but temporary. Memory is the filing cabinet. When the project is done, you do not shove the whole messy desk into storage. You file away the important stuff so it is ready next time.

Most people use AI like a workbench they wipe clean every time. They never build the filing cabinet.

The paper also makes a key distinction. Some AI systems are built to be experts on facts. But what makes a real cognitive partner is AI that becomes an expert on you.

That is what we have been building. That is the whole difference.

If you are neurotypical, starting from scratch every time is annoying. A few wasted minutes.

If you are neurodivergent, it is a tax on your brain budget.

Think about what it takes to restart an AI conversation properly. Remember what you told it last time. Organize that into a clear prompt. Translate your non-linear thinking into linear text. Turn the patterns and connections in your head into sentences.

That is the exact kind of work that drains dyslexic energy fastest.

Every time you re-explain your business to an AI, you are spending brain budget on formatting and structure instead of the strategic thinking your brain is actually built for.

A Single Source of Truth eliminates that tax. Build it once. Update it when things change. Paste it in and go straight to the work that matters.

For us, this is not an optimization. It is an accessibility tool.

Google compares this to mise en place, the cooking term for "everything in its place." Before a chef starts cooking, they gather every ingredient and tool they need.

Hand a chef just the recipe with no ingredients? They improvise with whatever they find. Maybe it is edible. It is not what you wanted.

Give them the right ingredients, the right tools, and a picture of the finished dish? They nail it every time.

Most people hand AI the recipe with no ingredients and wonder why the food tastes wrong.

Your Single Source of Truth is the mise en place. Ingredients laid out and ready before you start cooking.

No coding required. Just a document with five sections:

1. Who You Are. Name, role, business. Not the elevator pitch. The version you would tell a smart friend who is going to help you with everything this year.

2. What You Are Working On. Current projects and priorities. Update this when things shift so every AI conversation going forward reflects reality.

3. How Your Brain Works. Most people skip this. It matters most. Tell the AI your strengths, where you need support, how you prefer to get information. "I think in patterns. I use voice-to-text. When I give you scattered thoughts, find the structure. Do not ask me to organize them first."

4. Your Voice. How you sound. What your brand feels like. Without this, AI writes generic text and you spend twenty minutes making it sound like you.

5. What the AI Should Never Do. Boundaries matter. "Never assume I need things simplified. I am dyslexic, not unintelligent. Do not add caveats to every response."

Copy-paste. Keep it in a Google Doc or Notion. Paste at the start of important conversations. Simplest. Works immediately.

Custom instructions. Most AI platforms let you set persistent instructions. Claude has Projects. ChatGPT has memory and custom GPTs. Load your context once.

Dedicated workspaces. One for your business. One for your newsletter. One for coaching. Each gets a tailored version of your context. This is what Google describes, and you can do it right now.

Without it: You type "help me write a newsletter intro." AI writes something generic. You spend twenty minutes editing it to sound like you. You do this for every task, every day.

With it: You type the same thing. AI already knows your voice, your audience, your projects. The first draft sounds like you. Maybe you tweak a line. But you saved the twenty minutes and the brain budget it took to re-explain yourself.

Scale that across a week. A month. A year.

Hallucinations go down because the AI has real information instead of guessing. Consistency goes up because it works from the same source every time. Quality goes up because it knows what you actually need.

The whitepaper talks about two kinds of AI memory. The first is facts about you. Your name, your preferences, your business. Most AI handles this fine.

The second is how you think. Your problem-solving patterns. What strategies work for you. How your brain processes information.

Google admits this is the underdeveloped frontier. Most platforms are not built for it yet.

But when you tell an AI "I think in patterns, not sequences" or "give me the big picture first," you are already doing it. You are teaching AI how to think with you. Not just what to think about.

Most people never get to this level. They use AI for tasks.

We have been forced to go deeper because our brains require it. Google calls it the frontier. We have been living on it for years.

I almost never give homework. Today I am.

This week, build your Single Source of Truth.

Twenty minutes. Five sections. It does not need to be perfect. It needs to exist.

If you dictate rather than type (like me), open your AI tool and talk through each section. Let the AI help you organize it. Use the tool to build the tool. That is the whole point.

Reply to this email if you want to share yours. We might feature examples in a future edition.

Google needed 72 pages to describe what you can build in 20 minutes.

The AI does not hallucinate because it wants to lie. It hallucinates because you never gave it the truth.

Give it the truth. Build the filing cabinet. Watch what happens.

Matt "Coach" Ivey

Founder, LM Lab AI  |  Creator, Dyslexic AI

(Dictated, not typed. Obviously.)

📋 Problem: AI makes things up because you start every conversation from scratch.

📚 Google: 72-page whitepaper says build persistent memory so AI stops guessing.

🧠 Us: Re-explaining yourself drains your brain budget. A Single Source of Truth is an accessibility tool.

🛠️ Fix: One document. Five sections. Twenty minutes. No coding.

🚀 Point: Give the AI the truth and it stops making things up.

Reference: "Context Engineering: Sessions, Memory" by Kimberly Milam and Antonio Gulli, Google, November 2025.