Your AI Remembers Some Facts About You. It Doesn't Actually Know What Matters to You.

I've always been drawn to solving problems and building things that make life easier. My wife Kristin and I have built companies from ideas about how things could be better — whether that was making better nutrition choices for our dog Sawyer (Tom&Sawyer) or harnessing the way we think differently into a strategic advisory firm (Alexynn Strategy).

But I live my whole life this way. Figuring out better ways to show friends how to play guitar. Taking a professional barista course so I could understand the world of coffee for our own enjoyment at home. Harnessing the immense amount of health data I have to provide better health oversight for my entire family.

I love research and knowledge, and finding new ways to apply them to real-world problems. But at a certain point, no matter how organized you are, you simply know more than you can carry in your head. I needed something that could think alongside me. And nothing out there could.

So like a lot of people, I turned to AI. I built custom GPTs. I created NotebookLM projects. I stuffed context into Claude projects. And for a while, it worked — or at least it felt like it did.

The problem isn't that AI can't help. It can. The problem is that every conversation starts from almost nothing, and we wanted to empower our Tom&Sawyer team with a base context so AI could help across team members and external partners doing different roles across the company. Using the current tools on the market, we realized that our various AI tools remember fragments about you, but it doesn't actually know you.

That gap — between remembering and understanding — is what was getting in the way of us achieving true value from our AI tools.

The illusion of memory

AI assistants have gotten remarkably good at the conversational experience. And yes, they're starting to remember things about you. Your name. Where you work. That you prefer concise answers.

But there's a difference between remembering facts and actually knowing someone.

Think about a great doctor, a great co-worker, or a close friend. They don't just recall isolated details about you — they understand how things connect. They see patterns. They connect dots across time.

Your AI doesn't do that. It stores fragments. It doesn't build understanding.

Three gaps that matter in every part of life

As I dug deeper — and talked to people using AI for everything from managing their businesses to tracking their fitness to coordinating their families — three gaps became clear.

The reasoning gap. When your AI suggests a meal plan, can you see why? When it recommends a financial decision, can you trace that back to the specific knowledge it drew from? Today, that reasoning is invisible. It's a black box. Whether the stakes are personal or professional, you deserve to see how your AI thinks.

The sovereignty gap. Everything your AI learns about you — your health patterns, your relationships, your habits, your preferences, your family's routines — lives on someone else's infrastructure. You don't control it. You can't move it. You can't audit it. That's your life sitting in someone else's cloud.

The continuity gap. Each AI tool is a silo. The assistant that helps you with work doesn't know what your health app knows. Your meal planning doesn't inform your fitness tracking. The knowledge you've built is scattered across platforms with no way to connect it, compound it, or carry it forward.

Why we built CapableMind

The true driver of CapableMind was our attempted adoption of advanced AI tools within our Tom&Sawyer business, where we wanted to help align our employees and external partners around our gently-cooked pet food company. While AI was definitely helpful, Kristin kept experiencing the same problem that I had been, everyday, and kept saying to me…”I just wish the robots could do this without me repeating myself so much.”

CapableMind started because I wanted AI agents that actually understood my world — across my businesses, my health, my daily life. All of them needed the same thing that didn't exist: real cognitive infrastructure. An actual layer that gives AI agents persistent memory, transparent reasoning, and observable decision-making.

When Open Claw was released, I got so excited about agentic task management. We downloaded and played with it, but again we ran into the same problem of not being able to easily share what we wanted as the outcome of our tasks, and we got a bit worried about the privacy and security of what seemingly everyone online was downloading. I had a thick document of use cases for task automation that I wanted to try to enable, and shared it with our long-time friend and Tom&Sawyer software developer Sebastien Grinham. Seb, it turns out, had been deeply thinking about the conceptual frameworks of what would make AI better, and also approached our use case ideas from a much deeper technical level. We felt inspired and aligned to take our ideas and do something about it.

So we built a software platform.

CapableMind is the cognitive layer that sits beneath your AI agents and gives them structured understanding. Your agent accumulates knowledge over time, detects patterns, tracks relationships between people and events, and shows its work at every step. Every conclusion traces back to its source.

It runs in the cloud to get started, or on your own hardware for full sovereignty. Same architecture. Same capabilities. Your knowledge graph, your reasoning chains, your data — portable, verifiable, and cryptographically yours.

Artists first, technologists second

One thing people find unexpected about our team: our entire founding team are advanced musicians.

That's not a fun fact. It's a design philosophy.

The difference between a good AI agent and a great one is the same difference between playing the notes and playing the music. Anyone can store data and retrieve it. The hard part — the part that actually matters — is interpretation. Nuance. Context. Getting the details right.

We approach cognitive architecture the way artists approach interpretation. That perspective shapes everything we build.

What comes next

We're a Canadian AI company, and we've built this in the open. Not because it's trendy — because we believe the infrastructure that holds what AI knows about you should be transparent, auditable, and ultimately yours.

Whether you want smarter AI for your business, your health, your home, or simply your day-to-day life — CapableMind is the layer that's been missing.

We'll be sharing more soon. In the meantime, you can join the waitlist at capablemind.ai.

Own your mind. Power your agents.