I build AI systems — and the freedom they buy back. A decade of running programs and businesses taught me operations; a book and 170+ podcast episodes taught me to explain it. AI is where I build now.
The real-estate era — the fund, the book, the podcast — is a chapter I'm proud of and finished with. It bought the reps. What I build now is AI systems.
I design and run multi-agent systems that handle real work — research, operations, decision support — across my life and ventures. Engineer's rigor, PM's discipline, builder's bias to ship.
Now · primary focusBuilt and operated a multifamily portfolio and raised outside capital as a fund manager. The discipline came from systems; the systems now build elsewhere.
Track record · chapter closedPart-Time Real Estate Investing for Full-Time Professionals — the playbook from my real-estate chapter, written for busy professionals building wealth on the side.
Book · the RE years3 Degrees of Freedom — 170+ conversations on location, time, and financial freedom. Hosting retired in 2025; the full archive lives on YouTube.
Archive · 170+ episodesA daily digest agent that reads email, calendar, chat, and the knowledge base before I'm out of bed.
Property meetings auto-detected from the calendar; briefing docs researched and posted before 6 AM.
Meeting history distilled into per-asset concern logs, with recurring issues and trends flagged.
Daily voice-recorder transcripts filtered into domain brain files, so every agent stays current on my life.
Specialist agents for real estate, finance, career, and ventures — each with its own memory, routed by a meta-orchestrator.
Action-item trackers per asset, updated from meetings and messages, with stale items nudged automatically.
Quarterly update drafts researched across four data sources and staged for review. Never auto-sent.
Scheduled hygiene agents that reconcile state, archive the stale, and keep the whole system trustworthy.
The lens from the podcast years — and still the way I build, now with AI doing the compounding: optimize for freedom across three axes, and protect the fourth that makes them count.
A life and income that isn't tied to one place.
Own your calendar — systems and assets that work while you don't.
Enough independence to choose your work, not be chosen by it.
The freedom that makes the other three worth having.
“Location. Time. Money — and the health to enjoy all three.”
All under my own umbrella — a mix of systems, assets, and stories.
A network of cooperating AI agents I designed to run research, operations, and decision support across my work and ventures.
Acquired, improved, and operated cash-flowing apartments; raised and managed outside capital. Track record, not an active offer.
A book for professionals building wealth alongside a demanding career.
Long-running conversations on freedom, building, and the operator's mindset — now archived on YouTube.
Chemical engineering at the Colorado School of Mines, a year in Munich, an MBA and PMP, years running complex capital programs — then 70+ Airbnbs across Japan and Europe while building companies. Reps that compound.

My wife and I travel whenever we can. Most of my best ideas show up somewhere between flights, and most of the systems I build exist to protect that time.
The first degree of freedom isn't theoretical. A running photo log of where the work travels with me.




A snapshot of current focus — updated regularly. Inspired by the now page movement.
Where the location-time-money framing first clicked.
The book that reframes what an asset actually is.
The envelope-system era — $60K of student debt gone in under three years.
Systems over goals — the operating belief behind everything here.
The delegation unlock — now applied to agents, not just people.
Leverage: capital, code, media — and now autonomous systems.
An operating system for decisions — record, systematize, repeat.
E, S, B, I — the map from paycheck to ownership.
Small reps, relentlessly repeated — how every chapter here got built.
One place for the podcast archive, the book, and the channels I actually use.
AI consulting for small-business operators
The model is the easy part. The hard part is getting what lives in your head into a form a machine can act on: how you decide, what good looks like, where your data can and cannot go. I interview first, build second, and hand you a system you own.
Context is the product. Better prompts come from better interviews, not better tools.

The ecosystem
The same pattern I run for myself every day, scaled to your business. Your tools feed one coordinating agent with a shared memory; specialists do the work; you approve what leaves the building.
What already happens
One chief-of-staff agent
Focused agents
Ready for you
Proof of work
Box size is each area's share of the work. Color is heat: how much a use case matters and how often it runs. Select any area to zoom in.
The process
Seven steps in four phases. Scoping is billed hourly until we both know what we are building; the build itself is a fixed scope with a clear finish line.
Fifteen minutes, no charge. Is there a real problem, and am I the right person for it?
A straight yes or noAn hour on how you work and decide. Prework: a few dated voice notes about your week.
Your written decision profileWhere work really happens, which tools hold what, and where data may and may not go.
A heat map of 10–20 repeatable tasksWhat gets automated first, what stays human, and what it takes.
A fixed-scope plan and quoteYour instructions become a global layer the AI always works from. Agents draft; people send.
Working workflows in your toolsWeekly check-ins while it settles: tune what misfires, train the team, add the next workflow.
Adoption, not shelfwareYou take the keys: documentation, a true-up against scope, change orders only if you want more.
A system you ownPrinciples
Learned building my own agent stack and helping a traditional engineering organization adopt AI.
The decision profile comes first. Tools change every quarter; how you think does not.
Agents prepare the email, the brief, the update. A person always presses send.
Know what data is sensitive and where it may go before anything is connected.
Same kind of output on a schedule? Candidate. Otherwise it stays human.
Microsoft 365 and Copilot, or Google, Slack and Notion. I build where your team already works.
Depth with a few clients beats a course nobody finishes.

Who this is for
I work by referral and keep a small client load, so every engagement gets real attention. If this sounds like your business, start with the fit call.
Fifteen minutes. No pitch deck.
No hard funnel. Recruiter, potential collaborator, or just figuring out who I am — reach out.
Or email directly:
derek@elevateequity.org
This is a sandboxed demo of the concept — not connected to any of Derek's real accounts or data.