NEW TO AI? Start at the beginning: the primer

Point us at your
hardest problems.

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

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.

We built everything here.

Including the team and the brain.

"Berg is a fire-and-forget missile." Doug Jones · Leidos colleague · SVP, Defense Sector CTO

One human is accountable for every bit of it.

LIVE · WHAT THE DISCIPLINE PRODUCES WHEN ONE OPERATOR RUNS IT · RECOMPILED NIGHTLY →
866
ACTIVE HOURS · ONE OPERATOR
4,029
PAGES OF DOCS
272
MEMORY FILES
3,572
COMMITS
309,798
LINES SHIPPED · ONE AI TEAM
9,999
CAPABILITIES · 420 CLOUD RESOURCES DECLARED
$5.3M
≈ $6,172/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 →
NEW · INTERVIEW WITH RYAN YORK

Give Your A-Team a Team: An Interview on AI and Work

Why rolling AI out the way you roll out software doesn't fit, why it behaves more like a very smart, very lazy new employee than a tool, and why the first move is to give your A-team a team. Each point links to the research behind it, and at the end I check what I said from memory against the record.

RECEIPTS, NOT PROMISES

I've been running this discipline since Day 1. Anthropic put it in a field guide on June 24, 2026.

WOLFBERG SOLUTION
DATE IMPLEMENTED · RECEIPTS
ANTHROPIC'S LESSON · JUNE 24
The live brain graph
APRIL 17, 2026 →
Work in public, give agents broad context
One conductor. The gate.
MAY 11, 2026 →
Every human and agent gets a defined role
Promoted, not replaced.
APRIL 12, 2026 →
Set a north star to keep agents proactive
The miss ledger.
JUN 13, 2026 →
Build trust over time: review the misses

// I don't claim I did it first. I show the dates.

THE PROBLEM, PLAINLY

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.

01 · THE DISCIPLINE

Rules don't work. Machinery does.

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. Five of them. There are far more.

01
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 →
02
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 →
03
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 →
04
Loading is an event, not a claim.
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 →
05
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 →
02 · PROVABLE GOVERNANCE

Not promised. Checkable.

THE GATE
Deterministic. No model on its path.
The gate that approves consequential actions is plain code. "The AI decided" is structurally impossible.
see the gate decisions →
THE LEDGER
Signed, hash-chained, tamper-evident.
Every action, machine and human, on one cryptographically signed record. Break a link and it stops verifying.
verify it in your browser →
OFF THE KILL CHAIN
The model can't touch the record.
On the real-time path the model narrates after, never decides, and is platform-denied from writing the ledger.
how the architecture holds →
THE SCOREBOARD
The board that can say we got 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 →
PROOF IT WORKS

Don't take the claim. Take the links.

LIVE
The public register
Real gate decisions and logged misses, anonymized, signed, verifiable in your browser.
wolfberg.ai/register →
AT SCALE
5 missions, one governed engine
Built in public at the AWS Global Government Hackathon: one runtime, human gates, a signed trail under all of it.
the war room →
ALL-IN
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 →
COLLEAGUES, NOT CUSTOMERS

Not customers. People who have worked with me for years.

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 →
Engaged at the level you want

Five doors. One system.

01
The Pilot
Fixed, seven days. One workflow you know cold, run through the governed system. Deliverables you keep.
START HERE
02
The Seat
Fractional CTO, CAIO, or CIO. Founder-direct leadership of your AI capability, senior bench behind.
ONGOING
03
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
04
The Transfer
Teach, then leave. Your people learn to lead the AI team by sitting in the seat. Anti-dependency by design.
OWN IT
05
The Core
The maintained brain. My operating rules, continuously improved. Walk away and it keeps working.
STAY CURRENT
THE NEXT STEP IS

Thirty
minutes.

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 thirty minutes →
Read this before you believe any of it. The platform 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.