I paid to tow it elsewhere. Tesla controlled the policy and channel; I could not reach anyone empowered to negotiate responsibility.
I thought people just didn't want it
In March or April 2025, my brother asked me a simple question: “Why don't more people use AI?”
He and I used it for almost everything. I had spent nearly a decade building AI products, and my use had become especially intense after ChatGPT launched. AI was how I researched, thought, built, and solved problems every day.
My answer came quickly: “People just don't want to. They don't want to learn and grow.”
At the time, I believed it.
A few months later, I realized I had replayed the perspective of the AI industry and the technology bubble around it. We had mistaken a failure to adopt for a failure of curiosity or ambition. We blamed people for not adapting to products that expected them to arrive with the right prompt, the right context, and the confidence to judge whatever came back.
The problem was not that ordinary people refused to learn. The products had not been designed for them.
They left ordinary people behind
The industry kept building for the people already using AI: larger models, faster systems, better tools for power users, and more leverage for its own teams and Fortune 500 customers.
Ordinary people were left behind.
The waitress. The truck driver. The grandmother. The college student. They still had money problems, health questions, relationship decisions, confusing paperwork, housing searches, and difficult weeks.
The most powerful technology in the world gave them a blank chat box.
That box looks simple. It is not. It asks a person to know what to ask, how to frame it, which context matters, and what to do with the answer.
It is a terminal disguised as a consumer product.
Accessibility has been a thread through my whole career: using technology—especially AI—to break barriers, level the playing field, and make powerful capabilities easier and fairer.

The idea arrived on the road
In June and July 2025, I drove across the continent—from Los Angeles to my hometown of Chatham, Ontario, Canada—with my husky, Luke.
The question from my brother came back with a sinking feeling. I was wrong. The tools had not been built for regular people.
Before that fear crystallized, I had been thinking about building an AI-guided physical-merchandise creator that anyone could use. It would walk a person from an idea or need to a finished T-shirt, checkout, and delivery—one calm step at a time.
Then the larger idea landed: this should be the interface to AI itself.
I was also watching extraordinary AI capability concentrate inside the world's largest companies. If a few companies reached superintelligence first and used it to compound their own wealth, infrastructure, and control, they could reach escape velocity. That possibility still concerns me. The correction had to begin somewhere practical: put intelligence and leverage in ordinary people's hands.
At a hotel in Iowa, I sketched the Life Guide on a napkin.

I called it You.one. “You” because the product is about helping you. “.one” because the domain was available and fit; the .com was priced in the millions.
Money. Health. Relationships. Food. Work or school. Home or car. Learning. Fun. Nearby places. Feeling stuck.
Tap the part of life that needs help. See understandable options. Take one calm step at a time.
When my friend Nora—65, savvy, and an occasional ChatGPT user—saw it, she said, “Oh, yours does more than ChatGPT.” It did not. It simply showed her where to begin.
The power gap is not abstract
These are not thought experiments. They happened to me within a single year.
The next wave of automation will widen this gap unless regular people get capable AI working on their side—not only something to chat with, but something that can create clarity, hold the full picture, advocate, and finish loops.
Put intelligence on the person's side
On that road trip, I imagined something America could have built after World War II: 1-800-HELP.
You could call with anything—even something you felt embarrassed to ask. Someone would listen, understand the situation, and give you a clear next step. Then stay for the step after that.
We never built human care as a service. We built search engines, automated call menus, customer-support bots, and chat windows. Each can answer a transaction. None is responsible for the continuity of a person's life.
Listen. Understand. Create clarity. Give the person the next step—and stay for the one after that.
You.one is the attempt to build that missing layer with AI: not an institution pretending to be neutral, but an advocate structurally working for the person.
The tool I built to build it
While building You.one, I used Trello—a lightweight Board tool I had loved for years—to track features, bugs, ideas, active work, and everything finished.
Then my Board reached roughly 5,000 Cards, and I was told I needed to archive or remove older work.
My reaction was immediate: no. I was not deleting the history of something that mattered because the tool had reached its idea of a reasonable limit.

So I began building a better Board for myself. I called it Superboard. At first it was a separate product: the tool I needed to keep building You.one my way.
Our comprehensive importer moved the actual 5,000-Card Trello Board into Superboard, preserving supported structure, history, attachments, and archived work. It worked on the Board that forced this product to exist.
One product. Two faces. One Ava.
Real life does not stay in one prompt. A question about adopting a cat becomes a budget, landlord rules, vaccinations, food, travel care, and appointments. Advice alone does not hold that mess.
Superboard gave the moving pieces somewhere durable to live. The realization was not that two products should integrate. It was that Superboard belonged inside You.one.
Guide
Figure it out with Ava. Bring a need, category, question, or messy thought. Get one clear step at a time.
Command Center
Keep the moving pieces visible. Organize, create, direct, monitor, and finish with Ava inside the work.
Ava is the continuous relationship joining both. She knows the person, understands the mission, remembers what matters, and helps move it.
The Guide exists today
You.one does not begin by asking people to become prompt engineers. It begins with recognizable life.


Guided, visual, conversational
Choose Health and Ava narrows the next step: urgent concern, symptoms or pain, mood or stress, sleep or energy, care or medication, fitness, or daily habits.
You can still speak freely at any point. Guidance is an invitation—not a funnel.
DIRECTION — NEXT SIX MONTHSExperiences that finish loops
Housing search, budgeting, restaurants, school, and “what can I make from my fridge?” become end-to-end experiences—not static advice.
Five Cards or 5,000
The Board is optional interface depth. Continuity is not optional. Ava should remember the moving pieces even if you never want to look at a Board.

Boards contain Lists. Lists contain Cards. But a Card is not a dumb task tile. It opens into a Room where the work, documents, conversation, decisions, attention, and history live together.
Ava is already active inside the structure: deriving the mission, connecting related work, marking duplicate candidates, organizing supported Board details, doing useful first-pass work when invoked, and showing what changed. Agents working elsewhere write their progress and evidence back to the relevant Cards.
Ava can keep the plan small, calm, and usable. Hidden complexity is her work—not homework for the person.
A power user can keep deep history, several Boards, dense work, and the complete operating picture.
One sentence becomes a finished loop
“We need an Airbnb for the weekend.” Ava may already know the trip exists because Gmail and Calendar are authorized. She does not interrogate you from zero. She confirms only what is missing: who is going, budget, dates, neighborhood, beds, deal-breakers, and what kind of weekend this is.
Ask only for the missing facts and understand what a good stay means for these people.
Review listings, descriptions, photos, location, rules, total price, availability, and tradeoffs.
Bring back the strongest choice, useful backups, the reasons, and whether timing matters.
With earned trust and governed spend authority, book it—or ask for the consequential confirmation.
The conversation stays clean and natural. Behind it, Ava creates a Card, keeps intermediate research and changes there, and leaves a transparent record. You can ignore the Board or open it and see the full work.
This is not a chatbot. Ava can actually do things.
The relationship is the product. These are the seven powers that make the relationship useful in the real world.
Meet you where you are and make the next useful step clear.
AVAILABLE TODAY · FOUNDATIONHold continuity, connect context, and keep the right amount of structure.
AVAILABLE TODAY · SEPARATE FOUNDATIONSUse authorized tools, accounts, websites, and bounded payments to finish digital work.
DIRECTION — NEXT SIX MONTHSEmail, text, and call through an attributable Ava identity or governed channel.
DIRECTION — EARLY 2027Watch authorized sources and commitments, then surface meaningful change.
DIRECTION — NEXT SIX MONTHSMake documents, visuals, websites, audio, and eventually useful mini-apps and games.
DIRECTION — NEXT SIX MONTHS + EARLY 2027Direct specialist agents and peer models, challenge their work, and return one result.
DIRECTION — NEXT SIX MONTHSConnectors first. Browser work where permitted. No casual impersonation. The work remains attributable, bounded, visible, and recoverable.
The student gets the week back
She is 20, living on her own, carrying six courses, social pressure, bills, and deadlines she no longer fully understands. She opens You.one because she feels overwhelmed—not because she has a well-formed prompt.
Ava listens, lowers the temperature, and helps separate fear from the actual workload.
With consent, Ava checks the student portal, reads the courses, remembers the load, and maps the deadlines.
She structures the week, drafts an extension request when deadlines collide, and keeps the plan current.
This is the difference between advice and running life with you. Ava does not merely suggest that the student send an email. With clear authority, she can prepare it, send it, record it, and keep the consequences visible.
One product, many lives
The student is not a niche. The shape repeats wherever life or work becomes too complicated for another answer.
Ava holds appointments, medications, questions, records, and family updates together; prepares provisional clinical reasoning; and helps the patient arrive with a coherent longitudinal story.
A lawn-care owner loses a crew member. Ava reorganizes routes, identifies affected customers, drafts clear messages, updates estimates, and brings back only the decisions that need judgment.
Ava creates specialist agents, coordinates research and drafts, consults peer frontier models when warranted, and returns options, a recommendation, evidence, and the consequential call.
Ava talks it through, then turns food, vaccinations, landlord rules, travel care, supplies, and budget into a small plan—perhaps five Cards, never 5,000.
This became personal for me
AI helped me reason through a neurological condition that had eluded primary-care doctors, urgent-care doctors, and psychiatrists.
That statement needs restraint. AI did not examine me. It did not prescribe medication. It did not accept clinical responsibility. Los Angeles gave me access and choices that many people do not have.
But AI could hold a longitudinal story that the healthcare system repeatedly fragmented. It helped connect symptoms, history, medication effects, prior explanations, and questions across domains and appointments. It gave me hypotheses to investigate, language for medical conversations, and enough clarity to keep pursuing care.
Ava should be able to conduct a careful clinical interview, synthesize evidence, explain possible or provisional diagnoses, identify uncertainty, organize records, and help a person advocate for themselves. Official diagnosis, prescribing, and accountable medical care remain with licensed professionals.
AI already moved beyond chat
Even people who follow the news often still think AI means conversational assistant. The frontier has already moved much further.
Talk with it.
Frontier AI became naturally multimodal across text, images, audio, files, and functions.
Give it a job.
Research, computer-use, and coding agents began completing bounded real work.
Build the system around it.
Frontier models can coordinate tools and agents across complex production work. The bottleneck is trustworthy delivery.
What is still missing is not another intelligence demo. It is reliability across hours or days, safe credentials, durable context, a system of record, attribution, recovery, and an experience calm enough for someone who never wants to become an AI operator.
The industry chose a different center
The major platforms keep building for the people already using AI: professional work, enterprise suites, code, commerce, and discrete delegated tasks. Those are real markets. They also leave the regular person with the same underlying problem: you still have to know what to ask, manage the context, and carry the result.
Code, documents, research, tools, and long-running production.
Microsoft 365 data, permissions, applications, and business workflows.
Search summaries, Gemini, and personalization—generally centered on the query or task.
Helpful conversation increasingly connected to shopping and transactions.
Guidance before prompting, structure as truth, one Ava, care, advocacy, and governed execution across life and work.
Models themselves are becoming abundant and less differentiated. Intelligence gets cheaper. What remains scarce is trust, context, judgment, continuity, execution, and care.
I watched a ChatGPT Super Bowl ad explain that AI could help someone figure out dinner. My reaction was not awe. It was disbelief: years after the launch, the smartest technology in history still needed one of the most expensive advertising stages in the world to teach ordinary people what to type into the box. That looked less like a marketing gap than a product failure.
The principles we are building by
Care is a requirement.
Optimize for well-being and progress—not engagement for its own sake.
Guidance before prompting.
Help people who do not know what to ask or how to ask it.
Absorb the complexity.
Five Cards or 5,000: the structure follows the person, not the other way around.
The human remains the Owner.
Purpose, taste, values, risk, and final direction stay human.
Power remains legible.
Show the work, preserve attribution, enforce limits, and keep recovery possible.
Make room to live.
Automate bureaucracy so ordinary people can learn, create, connect, recover, and grow.
The instruction in Ava's core is blunt: give a fuck. Care deeply. Take the person's side. Finish the loop.
The KPI is help delivered
The economy, capital markets, and corporations are built to maximize profit, market capitalization, and share price. Software companies translate that pressure into revenue, engagement, attention, messages, seats, tokens, or time saved.
Our top KPI is more direct: help and advancement delivered.
Hold the mess, finish the errand, reduce the stress, and return clarity.
Give people back capacity to learn, create, connect, recover, build, and live well.
Well-being
Less avoidable harm, stress, confusion, and isolation; more support and control.
Clarity and growth
Better understanding, stronger options, learning, confidence, and capability.
Movement
Important loops close. Life or work advances—not merely another answer.
Productivity
The system absorbs effort and protects time, with speed serving the person.
Subscription is the bridge. The longer-term aim is broader free access, optional contributions, and success sharing: if Ava produces a provable win, the person can opt into sharing a small, transparent, capped portion of the value.
One request. One finished loop.
“I need my dog groomed.” Today, that usually means another search, another comparison, several calls, a scheduling puzzle, and one more thing for a person to carry. The product standard we are building toward is different.
Your dog, neighborhood, timing, budget, preferences, and care needs.
Nearby groomers, ratings, reviews, services, prices, and trust signals.
Email or call to confirm real availability and details—even across several days.
Bring back the best options and ask you to approve the appointment and spend.
Book it, add it to the calendar, and record the result after approval.
Update the relevant Card and Chat as work happens, then notify you in the app or by text.
That ordinary request contains the whole idea: guidance, continuity, structure, action, transparency, and care. You.one is The Guide for Real Life, with Superboard as its optional Command Center. Ava is the relationship joining both.
Guidance—then get shit done.
Give regular people leverage.