Point us at your
hardest problems

Bring a real one. In thirty minutes, the team and I start building it with you, live.

Cutting through the AI hype. Researched, built and explained in plain English.

Book the free conversation → Read the research →

The industry bought brilliant AI and put nobody in charge of it

95%
of organizations are getting zero return from generative AI, by a widely circulated and contested estimate.
MIT Project NANDA, 2025 →
40%+
of agentic AI projects projected canceled by end of 2027.
Gartner, June 2025 →
?
Who approved that action? What did the AI actually do? Almost nobody can answer with a record.
The governance gap
See ours closed →

Every one of those numbers is the same failure wearing a different mask: a brilliant team with no one leading it. Put a leader on it, with real authority and a real record.

The checks are built in, so nobody has to remember them

The leader directs, decides the irreversible, and signs. The AI drafts and works. The brain carries what the team knows. A rule is something you can break quietly, so none of these is a rule. Each is a door in the machine: it refuses, it records, or it waits for a human. Eight of them. There are far more.

A claim with no source is refused
Facts come from a fetch, a search, or an instrument, never from feel. A citation that doesn't resolve is rejected at the door, so an unbacked claim can't even be filed.
See it enforced →
The machine can only queue
Every consequential action waits at a gate a human opens, and a gate the machine cannot read stays shut.
See the gate decisions →
One counter, both valences
Wins and misses counted together, each carrying the source that caught it, and a miss buys a changed door, not a promise.
See what it was worth →
Every load leaves a record
What the team knows is written, versioned, and loaded rather than remembered, and a session that says it loaded leaves a record you can check.
See the brain model →
The tests go red on the AI itself
Its mistakes become fixtures that fail on repeat. The board publishes which kinds have no fixture yet, because what has no test cannot go red.
See the coverage, gaps included →
Every action goes on one signed record
Every action, machine and human, on one cryptographically signed record. Break a link and it stops verifying.
Verify it in your browser →
The AI can't write to that record
On the real-time path the model narrates after, never decides, and is platform-denied from writing the ledger.
How the architecture holds →
A scoreboard that shows when we get worse
What the gate caught, what it was worth in both directions, and which mistake classes have no test yet. Live, derived, and unflattering on purpose.
See the learning board →

The numbers update every night, and every link goes to the raw record

970
Active hours
one operator
4,351
Pages of docs
279
Memory files
4,127
Commits
382,741
Lines shipped
one AI team
11,429
Capabilities
432 cloud resources declared in Terraform
$6.4M
≈ $6,613/hr effective
one operator
Modeled
what a comparable team would have cost to build the same codebase, without AI. One operator did it instead. See the accounting →

On June 24, 2026, Anthropic published its lessons on building human-agent teams. Here's how mine lines up →

The public register
Real gate decisions and logged misses, anonymized, signed, verifiable in your browser.
wolfberg.ai/register →
Five missions, one engine
Built in public at the AWS Global Government Hackathon: one runtime, human gates, a signed trail under all of it.
the war room →
I run my company on it
Everything you see here runs on it: the brain, the gates, the ledger, the misses, all day.
the receipts →

Who's behind it

Berg Atkinson

I organize and lead AI agents as a team. One human, an on-demand bench of AI experts, and a digital brain that remembers what we learn.

Wolfberg sells the knowledge, experience, judgment and skills I earned over twenty-seven years of solving hard problems. Sometimes that comes with the team building alongside me, and sometimes it's just me, consulting.

I also research what "AI" actually does: the model, the harness, and the people around it. All of it published, sources attached, in plain English.

Read the research →

We built everything here.

Including the team and the brain.

One human is accountable for every bit of it

What people who've worked with me say

They vouch for the operator, not the platform: the judgment and the track record behind what you see here. Their names, their words.

"Infrastructure has never been more critical than it is right now. Anyone can ship an app in two hours, but the infrastructure underneath is what separates a demo from a business. Berg has been ahead of this for a decade. I'd trust him with anything critical."

Kevin Fogarty
Leidos colleague
SVP, Intel Sector CTO →

"Berg is a fire-and-forget missile."

Doug Jones
Leidos colleague
SVP, Defense Sector CTO →

Five ways to work with me

The Pilot
Fixed, seven days. One workflow you know cold, run through the governed system. Deliverables you keep.
Start here
The Seat
Fractional CTO, CAIO, or CIO. Founder-direct leadership of your AI capability, senior bench behind.
Ongoing
The Grind
On-demand problem-crushing. Metered like cloud, billed to the minute. Ships a full post-analysis of the solution and the process.
When it's on fire
The Transfer
I work the problem with your people until they can run it without me, then I hand it over and go.
Own it
The Core
The maintained brain. My operating rules, continuously improved. Walk away and it keeps working.
Stay current

The first conversation is thirty minutes, and it's free

Bring a real problem. The team and I start building your idea, live, in the room. You'll see the rest for yourself.

Book the free conversation →
Read this before you believe any of it. Keystone runs in production in its own AWS account. The rest of what you see here is a running prototype, not an accredited or certified system. The register, the war room, and the brain are receipts, not revenue. Every claim on this site links to something you can check. If one doesn't, tell us, and we'll fix the page.