Compound Loop · Senior marketing judgment, shipped as working systems

One practice, two doors

Bring me in to lead, or to build.

Fractional marketing leadership

Founder sketching your first go-to-market plan, or a team ready to hand off a piece of the strategy. I've sat in both seats, so I meet you where you are. I take the big calls, set the direction, and keep the work shipping, at the pace of an operator with her own AI stack behind her.

Custom AI marketing systems

I take a workflow your team already runs by hand and build it into an AI system that runs it for you, in your tools, handed off so your team owns it. The hours it gives back go straight to the higher-level, net-new work that AI can't do.

Justine Sakowicz, founder

The operator

Fifteen years in the marketing trenches. Thousands of hours building the AI systems that do the work.

At Glowforge I built the segmentation strategy and the content, social, and creator engines that helped scale the brand to $100M. I oversaw a $10M budget, led a 20-person team, and took their first hardware launch in years to market. Before that I built Beaumade, an augmented-reality iOS app, to 100,000 downloads and 30 designer partnerships on a shoestring budget.

I know what good marketing takes because I've had to deliver it, with my own budget and my own team on the line.

In 2023 I started building with AI, obsessed with how close it could get to replicating what a great hire does: real context, real judgment, and a feedback loop that gets sharper every cycle. Thousands of hours later, that's Compound Loop. The systems carry the judgment of someone who's run the function, not someone who can only wire up the tools.

What I've built

A few of the systems I've built.

Real and running. These are actual screenshots. Client names, campaign names, and numbers are blurred. I can open any of them up and walk you through exactly how it works.

01 · Runs weekly for a consumer marketplace

A self-improving Meta ads engine

Every week it reads the account's raw Meta data, separates real signal from noise, and turns what it finds into ranked, plain-language moves. Every cycle it learns from what performed and gets sharper.

Findings are sorted into act-now or watch, so it never recommends acting on randomness
Two blind verification agents recompute every number from scratch before anything ships
A human makes every call. The system does the reading, checking, and ranking
When creative fatigues, the loop closes: new ad concepts are generated from what the data says is working

Weekly report · key action items

Weekly Meta ads report, exec summary and ranked action items, all client data and campaign names blurred

Creative refresh · generated concept

Generated ad concept: a split image of a plastic-wrapped new sofa next to the same room styled and lived-in

Topline pacing

KPI tiles from the weekly report, all values blurred

02 · Trained on a niche's top creators

A content engine that learns a niche

It studies the top creators in a niche, pulls apart the exact hooks and formats that overperform, and turns what's working into a scored bank of topics ready to script. Every topic is backed by the specific reels that prove it.

Reel library · 109 reels deconstructed

Content engine reel library scoring top-performing reels by hook pattern

Topic bank

03 · The layer behind the other two

A marketing team of AI agents

Specialized agents I trained to think like the marketers I've managed. They draft, critique, and hand work to each other, built on one rule: no agent grades its own homework. The blind verifiers that recompute the ads engine's numbers are two of them.

StrategistCopywriterCreative director Performance buyerData scientistBlind verifier ×2

Human approval gate

Then it ships

Senior marketing judgment, shipped as working systems.