For partners, investors, and operators:

Make your judgment compound.

AI that operates at the altitude where you actually work.

Every time you pick up a complex situation, you rebuild: what changed, what still matters, what assumptions broke, what decision is now live. That reconstruction is where your most valuable attention goes. re:compound makes AI hold the live state of your work — so you re-enter from altitude, not from scratch.

Most AI is aimed at the wrong layer.

Drafts, summaries, search, and basic analysis are real gains. But for senior people, the bottleneck has never been writing speed. It is the weight of what you are carrying: too many live situations shifting at once, too much context that evaporates between sessions, too many signals competing for the same finite judgment. AI has gotten fast at the work below you. Almost nothing has been built for the work you actually do.

What nobody has built for
Rebuilding context you already had yesterday
Holding the live state of multiple complex situations
Seeing where forces inside a situation are about to collide
Carrying forward how your best people actually read things
Compressing 500 signals into the 3 that reprice the decision
The line most AI doesn't cross
Where AI already helps
Drafting and summarizing
Research and retrieval
Routine analysis
Processing speed
Output volume

What changes when judgment compounds

Re-enter from altitude

Pick a situation back up and start where your judgment left off. Not a summary of what happened — the live decision state: what shifted, what assumptions broke, what is now the actual question.

See collisions before they arrive

Surface the places where timing, stakeholder interests, and constraints are about to interact — before the board deck forces the question or the deal timeline reveals it too late.

Compress, don't summarize

You don't need 500 flags. You need the three issues that actually reprice the situation, the interactions between them, and the unanswered questions that deserve your own judgment.

Make judgment recoverable

The way your best people read situations — what patterns they recognize, what signals they weight, what they've learned the hard way — becomes an institutional asset instead of walking out the door every evening.

Where to start

Vantage point

A 90-minute working session on one consequential decision you bring.

Live work, not a manufactured case. You bring what's actually moving; we work it together. You leave with a written read of the situation within 48 hours.

  • One decision, your live work
  • 90 minutes, one-on-one with Bud
  • Written synthesis within 48 hours
  • The vantage you couldn't have from inside it
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A private residency

A six-week working engagement on the work where your judgment matters most.

Six weekly sessions on whatever is most live each week. What you take with you is a portable way of using AI on senior judgment problems that you keep using long after.

  • Real work, not a manufactured case
  • Six weekly sessions, one-on-one with Bud
  • A portable method that travels after
  • For senior people carrying live complexity
Read more

For firms considering deeper engagement: see a sample diagnostic note →

From recent writing
Excerpt

The Memo She Couldn’t Write

April 2026

Anika had been on the matter fourteen months. When it closed, she blocked a Saturday to write the handoff note her successor would need. The Saturday came and went. So did two more.

The chronology was in the record. The advice was in the record. The draft structures, the calls, the changes in position — all of it was somewhere. What her successor needed was not another route into the file. He needed the thing that had made the file intelligible while the matter was alive.

What carried the matter was a live state: a compact, current mental model of what the matter was really about, which assumptions were still safe, where the real pressure was building. The memo was asking her to flatten a live state into a static record.

Read the full essay →
Excerpt

What Apollo Knew That Silicon Valley Forgot

March 2026

The Kalman filter is an algorithm for combining imperfect, heterogenous information. It takes readings from multiple sensors — each with its own characteristic pattern of error — and produces a single estimate of the truth that is better than any individual sensor could provide.

The key word is characteristic. The filter doesn’t just average its inputs. It maintains an explicit model of how each sensor is wrong. The IMU drifts over time and the filter trusts it less as time passes. The optical sextant is intermittent but precise and the filter weights it heavily when it arrives.

What makes this work is that all these errors are not systematically correlated. Uncorrelated errors produce disagreement that a well-governed system can interpret. Correlated errors produce agreement that no system can see past.

Read the full essay →
Excerpt

The Constant of Integration

April 2026

Senior professional judgment — the kind that takes decades to develop and cannot be transmitted to a new colleague through briefings or documents — has a particular shape.

What the senior person carries is not information about the situation. It is an accumulated read of how things move, what breaks, where the real pressure sits, which signals matter and which do not. The output — their judgment about what to do next — is transmissible. What cannot be transmitted is the boundary conditions accumulated over years of cases, decisions, mistakes, corrections, and watchings, which make their current read interpretable as judgment rather than as a guess.

It is why senior judgment is expensive. It is why it gets lost when experienced people leave. It is why institutional culture cannot be written down, though many organizations keep trying.

Read the full essay →

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. It is the same bar this practice operates against.

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

Your judgment is the layer this is built for.

Reach out when there’s something live worth working on.

Start a conversation

Please reach out first to elissa@recompound.ai