Ronald Wacker · New York
Fourteen years running a real estate investment and construction business, and the last eighteen months building production AI systems.
- 14 yearsPrincipal, owner-operator
- $20M+Capital managed
- 30+Projects, four states
- ASML · NXP · Huawei · SiemensEnterprise sales
- 6 weeksIdea to live AI platform
The through-line
Real estate, enterprise sales and AI are different environments, and the work in each one runs on the same moves. Three of them:
Find the constraint
Locate where time, information, decisions or capacity are being lost. It is rarely where the complaint is.
Decide what should be deterministic
Anything that has to be right every time, explainable in a sentence, or auditable later is computed, never generated.
Document weaknesses instead of hiding them
Every project records what went wrong, what is still unknown and what would be tested next.
Work
What I've built.
Five software systems, each built solo by first learning the domain well enough to understand the problem, then designing and shipping the system around it. Every one is documented as the problem, the operating insight, the system, the decisions behind it, the result and its limits, with the architecture open for anyone who wants to read it.
- 01Assemblage OS
Turn fragmented broker knowledge into an operating system that says what to do today
Case studyprivate - 02Impossible To Name
Turn a document-heavy government process into a production AI workflow
Case studyimpossibletoname.com - 03The skills library
Systematize repeatable operator work and remove it from the daily attention loop
Case studyprivate - 04The Screening Simulator
Reverse-engineer an AI decision system and stress-test applications against it
Case studyprivate - 05The Creator Deal Desk
Automate recurring founder work through a controlled multi-agent workflow
Case studyprivate
The physical work: five construction projects documented in full
Enterprise sales
- ASML
- NXP
- VDL
- Huawei
- Siemens
Understanding a business problem is half the job. The other half is getting a complex organization to pay to solve it. Two years at SThree in Amsterdam selling contract IT infrastructure staffing into enterprise accounts, full cycle.
- Pipeline
- Self-sourced. Target accounts mapped, then several divisions and levels worked at once until the firm made the preferred-vendor list.
- The approval chain
- Discovery with the hiring manager to scope demand, then each placement through HR and finance to C-suite sign-off, negotiated, placed and delivered.
- Scale
- ASML opened and grown into the largest account. Twenty contractors placed and running concurrently at peak.
- Record
- Promoted to team lead after six months. Hired, coached and led a five-person team while carrying an individual quota. Top 5% of performers, every quota and incentive exceeded.
Real estate investment and construction
Wacker Management was an owned business, not an advisory seat. Every project was bought, financed, built and sold on decisions I made, with my own capital and investors' capital at risk.
- Capital
- $20M+ managed, own and investor
- Scope
- 30+ investment and construction projects
- Geography
- Florida, Louisiana, Iowa and Kentucky, run from New York
- Responsibility
- Acquisition, financing, design, construction, disposition
- Complexity
- Architects, engineers, contractors, trades, permitting, budgets and scheduling, up to three sites live at once
- Judgment
- Investment decisions under uncertainty: hidden damage priced blind, budgets built as ranges, the exit set before entry
For hiring teams
Who I am
I ran a real estate investment and construction business for fourteen years: 30+ projects across four states on more than $20M of own and investor capital, each one owned from acquisition to sale. Before that I sold contract IT staffing into ASML, NXP, Siemens and Huawei and led a five-person team while carrying my own quota. Over the last eighteen months I taught myself enough of the technology to design, build and ship production AI systems alone, without an engineering background. None of it came with a playbook, a team or a technology function. When the problem appeared, I had to understand it and build the mechanism that solved it.