A private residency.

A six-week private working engagement for senior people carrying live complexity.

We use your actual work to build a portable way of preserving live state, compressing what matters, and working with LLMs without handing them your judgment.

The point is not to get better at AI in the abstract.

The point is to stop losing the state of the work where your judgment matters most.

The problem

The more output your organization can produce below you, the more compressed the work becomes above you.

More analysis. More summaries. More drafts. More updates. More material moving faster through the system.

All of that is useful. Almost none of it solves the senior problem.

Every time you pick up a complex situation again, you rebuild: what changed, what still matters, what assumption broke, what decision is now live, where your attention is actually needed.

That reconstruction is expensive.

It is also mostly invisible, because from the outside it looks like thinking.

What LLMs make possible

LLMs are now good enough to change this, but not in the way most people are using them.

The interesting use is not asking the model for more output. The interesting use is making it help hold the live state of work that would otherwise keep cooling between moments of attention.

A good LLM interaction can now help preserve what changed, what matters, what is still unresolved, and what needs to be re-entered at altitude.

But only if the work is governed properly.

The model is not there to make the judgment for you. It is there to keep the state from disappearing before your judgment returns to it.

What the residency is

A private residency is six weekly working sessions with me, one-on-one, on whatever is most live and consequential in your work that week.

Not a manufactured case. Not a generic exercise. Not a curriculum.

You bring the work: the deal that keeps changing shape, the board or ownership question that has not stabilized, the portfolio-company issue where constraints are starting to collide, the client matter that keeps moving below the real decision, or the AI integration question your organization keeps answering two layers too low.

We use that work to build the method.

The method is simple to name and hard to do well: preserve the live state, re-enter without starting over, compress what matters, and see the next collision before it arrives.

The one condition

This is only worth doing if there is live, consequential work worthy of the attention.

Not a hypothetical AI use case. Not a general wish to “get better with AI.” Not curiosity detached from a real situation.

Something live.

Something where your judgment matters.

Something where the cost of rebuilding state, missing the real issue, or seeing the collision too late is high enough to justify serious attention.

It does not have to be the same problem every week. In most cases, it should not be forced to be. The object is whatever is most live and consequential that week.

The discipline is choosing the object before the session.

The session itself is for the work.

What you should have after two sessions

By the end of the second session, you should have a first live-state map of one consequential situation.

Not a summary. Not a dashboard. Not a better prompt.

A working map of the current state of the situation: the decision now in front of you, the assumptions still carrying weight, what has shifted recently, where your judgment is actually needed, and how you and the LLM will keep that state current.

You should also have the beginning of a different operating relationship with LLMs.

Less prompt-and-output.

More state, re-entry, compression, and judgment support.

What it starts to feel like

Around session three or four, the work should begin to change shape.

You bring back something that happened between sessions: a meeting, a diligence finding, a board question, a client call, a team conversation, a shift in the market, a new constraint that did not look important until it touched something else.

Instead of starting over, we re-enter from the state already built.

The questions become sharper:

What changed?

What matters now?

Which assumption broke?

What is no longer live?

What just became live?

Where should your judgment touch next?

This is where the method starts to become portable. You are no longer merely asking the LLM to help with a task. You are teaching it to help preserve and refresh the state from which your next judgment begins.

What you take with you

The durable product is not six sessions.

It is a way of working.

By the end, you should have a materially different way of using LLMs on live senior work: not to replace your judgment, not to generate more material below you, and not to perform prompt theater.

You should be able to use them to hold state, recover altitude, compress complexity, and keep consequential situations from resetting every time your attention has to move elsewhere.

The method should not depend on me being in the room for every move.

That portability is the actual product.

What this is not

This may touch things that look like coaching, advisory, training, or AI instruction.

But it is not organized around any of those categories.

The focus is the live work and the method built while operating on it.

I am not here to give you a general AI strategy, select tools, teach prompt tricks, or provide abstract thought partnership detached from what is actually moving in your world.

You bring live work.

We work it.

The method comes from that.

The form

Six weekly sessions.

Ninety minutes each.

One-on-one with me.

Flexible to your week, because the work is whatever is live.

I am offering this directly to a small number of senior people because the work requires real situations, close attention, and direct method transfer.

$6,000.

The price is for the engagement and the method, not for the hours. The flat fee is deliberate.

A second seat is available for $1,500 additional.

The second seat is for the person who helps you carry live state between sessions: a chief of staff, deputy, operating lead, senior associate, or trusted colleague.

Optional, but often useful.

If this sounds like it might fit

Reach out for a 30-minute call.

Bring one real situation.

The call is for both of us to see whether the method can move something live.

No deck. No pitch. No follow-up sequence.

If it fits, we book the first session.

If it does not, we both know quickly.

—Bud

Inquire about a Residency

Please reach out first to elissa@recompound.ai

Who's behind re:compound

re:compound was built for the gap between AI adoption and actual performance change — the gap where most organizations have invested heavily in tools and training, but the work that depends on senior judgment hasn't changed at all.

Bud works on the methodology of human-AI collaboration for complex knowledge work — specifically the question of how senior judgment compounds rather than resets with every interaction.

  • McKinsey & Company
  • Bridgewater Associates
  • Deloitte (Internal Strategy & Transformation)
  • Vega Factor & Primed to Perform (NYT Bestseller)
  • B.S. Computer Science & B.A. Economics, Penn
  • MBA, Harvard Business School

Elissa leads operations and practice, bringing a background in high-stakes clinical operations where judgment under complexity is the daily operating condition and the margin for error is real.

  • Founder, re:compound
  • Head of Operations & Practice
  • High-Stakes Clinical Operations
  • Australia · UK · US
  • Bachelor of Nursing, University of South Australia