The Lab

Proof of work, in the open.

The systems behind the descent, shown as working artifacts — not polished claims without the work underneath. Each case study makes the build, the judgment, and the operating signal visible.

06 open case studies 04 operating disciplines Artifacts, not mockups

Six projects. One operating point of view.

The throughline is simple: take ambiguity apart, turn the useful insight into a system, and keep human judgment exactly where it earns its place.

01 · Read the number

Forecasting & reporting

Decompose revenue by behavior so the target reflects what will repeat, rotate, or reset.

02 · Build the cadence

GTM & marketing operations

Turn brand, pipeline, lifecycle, and content work into repeatable systems a team can run.

03 · Automate the repeatable

AI-native workflows

Use orchestration, review, and clear decision gates to remove recurring work without flattening judgment.

04 · Own the whole system

0→1 architecture

Design the operating spine before the team exists — then ship the experience that makes it legible.

Selected workOpen any project to inspect the artifact
01

The forecasting insight

Why a category’s best-seller this year is rarely its best-seller next year — reading revenue by behavior, not by a straight line.

ArtifactInteractive behavior-based forecastSignalCommercial judgment under uncertainty
View projectProof — forecasting & reporting
Artifact — the seasonality read
02

The one-operator stack

The full map of a one-person venture — the creator-to-conversion growth engine, the operating spine, and the line where human judgment takes over.

ArtifactInteractive operating architectureSignalEnd-to-end systems ownership
View projectProof — turnaround & 0→1
Artifact — the operating map, in miniature
03

The consensus engine

A multi-model AI council, built in n8n, where answers are anonymized, peer-reviewed, ranked, and synthesized into one result.

ArtifactWorking n8n review pipelineSignalAI orchestration with quality gates
View projectProof — AI-native workflows
The consensus engine's live n8n canvas — five stages from intake to synthesized answer
Artifact — the live n8n canvas
04

The marketing LLM

The actual prompt that let any teammate draft an on-brand newsletter — annotated line by line, with the sends it produced.

ArtifactAnnotated reusable prompt systemSignalScalable marketing operations
View projectProof — marketing ops · AI-native
Artifact — the prompt, annotated
05

Creative direction

A specialty-ingredients rebrand — voice shifted from industrial to personal-care, with a rebuilt newsletter system, sales decks, and formula cards. The concept-to-product story, retold for formulators.

ArtifactApplied brand and content systemSignalCross-functional translation
View projectProof — GTM & brand systems
Artifact — the rebrand system
06

Behind the descent

The homepage, as a project — one continuous fall through a generated world: the craft rules that kept a hundred frames coherent, and the engine that ships it.

ArtifactShipped WebGL portfolio experienceSignalCreative and technical direction
View projectProof — 0→1 craft, in public
Plate 12 of the descent — the physalis husk glowing like a lantern on the moonlit forest floor
Artifact — plate 12 of 30
Short résumé

Harrison Golden built every system on this page.

Chicago-based strategy and operations leader, open to relocation. I turn ambiguous growth priorities into practical systems across GTM, finance, RevOps, marketing operations, and AI automation — especially when a growing organization needs clearer forecasts, decisions, and operating rhythm without more overhead.

My background spans post-acquisition integration in chemical distribution, co-founding a DTC skincare company, and building applied machine-learning systems. The throughline is 0→1 judgment: deciding what to build, what to measure, and when not to scale.

2023–2026Strategy & Operations to the President2M Laurichem · Chicago
2025–2026Co-Founder & CEOInsecurities · Arkeme Group
2023–2025FounderML Financial Software
Expected Aug 2026B.A. PsychologyNew York University
What’s next

Six working artifacts. The next system should be yours.

If your team’s growth is outrunning its systems, this is the toolkit I bring. Open to — GTM Strategy & Ops · BizOps / RevOps · AI Operations.