The AI Dad.

My Work and Companies

Work

The lanes I work in and the frames I keep coming back to. Ten lanes, one through line, then each idea stated plainly so you can quote it back.

The map

Human-first AI, built on data I actually own.

Ten lanes, the frames I keep coming back to, and the companies where it all gets built. One through line, branching out. Open any branch.

Branch A

Agents do the work

The engine: what the agents are and how they run.

AI agentsLANE

Software that does the work, not just the talking. A human still decides; the agent does the heavy lifting of the minutiae.

World models & predictionsLANE

Nightly, an agent reads my data, forecasts what is about to move, and gives a first step. I show the misses too.

Agents on data you actually ownFRAME

A 26,000-person trust graph and a 214,579-award federal database, mistakes included. Competitors structurally cannot copy it.

Read the full frame →
The verifier gapFRAME

Where the agents lie. An agent forecasts, a human verifies, and I show the misses, not just the wins.

Read the full frame →
Collaboration.AiCOMPANY

Our software runs innovation programs across the US government. We mapped and activated AFWERX's 50,000-plus innovator ecosystem at 96% satisfaction. I am Executive Chairman.

Visit →
Branch B

Humans stay at the center

The posture: people first, then the robots, on purpose.

Human-first AILANE

People at the center, agents on the busywork. Not AI instead of people: humans first, then the robots.

Read the full frame →
CollaborationLANE

Twenty-five years of method for how people decide and build together. A patented way to compress nine months of work into three days.

Human-first, definedFRAME

The word order is the point. People stay central; agents take the minutiae.

Read the full frame →
Connector, not brokerFRAME

Across 2,825 introductions over 21 years, 97.4% were unsolicited. I would rather give without keeping score than take a cut.

Read the full frame →
Branch C

Change the work, not the slides

The job: transformation that actually moves something.

The future of workLANE

The old manual way is fading. Most leaders still hire and train for it. I help them stop.

InnovationLANE

Not theater. The test is simple: show what changed. My company runs these programs across the US government.

AI transformationLANE

Moving an organization from doing the work by hand to running it alongside agents, without losing the people. 32 Fortune 100 transformations.

The four sandboxesFRAME

The four ways work happens now, Human to Human, Human to Agent, Agent to Agent, Agent to Human. Every interaction lands in one.

H → HH → AA → AA → H
Read the full frame →
Effort is a moatFRAME

If the work clearly took real human effort and real data, it cannot be pure AI slop. You cannot fake twenty years of your own data.

Read the full frame →
Show what changedFRAME

Information-age work asks if you made the document. Human-first work asks if anything actually changed.

United We TransformCOMPANY

A movement and a 10,000 square foot collaboration space in Minnesota, plus the book of the same name (co-authored with Tom Kehner), gathering purpose-driven people to turn connection into real action.

Visit →
Branch D

Raising the next generation out loud

The heart: teaching the kids coming up, in public.

The next generation of workLANE

What work looks like for the kids coming up, and how to teach them to do well in it.

The AI DadLANE

A dad of three, raising kids in an AI world out loud. The human heart under all of it. Shared at @ai_dad_3.

The AI Dad, definedFRAME

Teaching the next generation what work looks like in a human-first AI world. The warm one: kids ask good questions and bring it home.

Open Work LabCOMPANY

Where the human-first AI ideas get built and tested in the open. The agents, the world model, the daily forecasts, including the parts that do not work yet.

Build in public
Branch E

What comes after agents

The horizon: watching the next shift early, in public.

QuantumLANE

The next shift after agents. I watch it the way I watched AI early: closely, and in public. Find a stuck system, build the thing that unsticks it.

Your move

None of this is automatic. The human version only happens if we build it on purpose.

If an agent took the draining half of your job tomorrow, what would you finally make with the time?

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