The work that has to happen every week is the reason the work that should happen keeps getting pushed.

Every send. Every paid creative refresh. Every campaign build. Every reporting deck. It's not busy work — it drives revenue. And it fills up exactly the hours where your strategic work was supposed to go.

Compound Loop builds AI systems that automate the repeatable parts of your marketing team's recurring work. Your team manages the output. They stop running the parts that don't require them.

Book a Scoping Call
01 · The Problem

The strategy is clear. The calendar isn't. And nobody scoped a solution into your headcount.

Your job is hitting growth targets. Running campaigns. Managing a team that's already at capacity. Building the next play while executing the last one.

Every week the sends go out, the creatives get refreshed, the reports get built. Your team is good at that work. That's part of the problem — because the hours they're spending on the work that has to happen are the same hours that don't exist for anything else.

And you know what else those hours don't exist for: actually doing something real with AI.

Not dabbling. Not a tool here, a prompt there, an experiment that runs for two weeks before the next campaign cycle pulls everyone back. You can picture what a real AI-powered marketing operation looks like for your team. Which workflows would run automatically. What your people would actually work on with the time back. What becomes possible when the recurring execution work stops requiring humans to run it.

The opportunity is real. You're not skeptical of it. What you don't have is a path to it — because getting there requires learning something entirely new, in a space that's moving faster than anyone can fully keep up with, while also keeping the operation running. You can't take your team offline for the transformation.

So instead: a meeting about what you should be doing with AI. A new tool someone tests for a month. A workflow that gets half-built and deprioritized when a launch comes up. Your team wants to move. There's nowhere to move to while everything else is running.

The blocker is structural — the people who would build the AI-powered version of your operation are the same ones running the manual version of it.

There's no version of this where both happen at once. So the campaigns keep running. The AI work keeps slipping. And the operation you can picture stays one quarter away — indefinitely.

02 · The Solution

What's already working gets built into a system that runs it.

Compound Loop doesn't audit your marketing or teach your team to prompt better. I take what's already working — your acquisition loops, your content engine, your retention plays, your campaign workflows — and I translate them into AI agents, automations, and internal apps that your team operates.

The output isn't a recommendation. It's a running system. Not a prototype — something your team uses on Monday.

Projects are scoped by the number of workflows I'm translating into AI. One one-hour check-in per week. Everything else is async. At the end of the project, your team has a system they know how to run — not a black box with my name on it.

01
Not a recommendation — a running system Delivered as working AI infrastructure, not a strategy doc or vendor list.
02
Your marketers become AI managers Each person ends up running their own set of AI workers — delegating execution, keeping judgment calls.
03
Scoped in hours. Shipped in weeks. One scoping call to define the project. One weekly check-in during the build. Everything else is async.
04
Built to run without me by default When clients want to keep building as strategy evolves, a retainer is available. But the system is designed to work without me — because the last thing you need is another dependency.
03 · The Difference

Most people who build AI systems can't tell you whether the thing they're building is the right thing to build.

There are two ways this category is failing buyers right now.

Type 01 The AI Developer
Technically excellent
Builds exactly what you describe in the brief
Can't tell you if the brief is wrong
Takes notes when you explain campaign sequencing — but isn't really tracking
The result

Ships the wrong thing, beautifully.

Type 02 The Marketing Consultant
Understands your problems
Has added AI to their deck
Cannot build the solution
You'll get a roadmap and a vendor recommendation
The result

Correct diagnosis. No treatment.

Compound Loop Justine Sakowicz
15 years as a consumer marketing operator
Managed $10M+ in media budgets, led teams of 20
Knows which workflows to automate — and which break under automation
Builds the systems herself. Not manages a dev team. Builds it.
The result

She is both, simultaneously.

Building AI marketing employees requires the same judgment as hiring human ones.

Book a Call with Justine →

Most AI marketing builds fail not because the brief was wrong — but because the person executing it didn't have the marketing fluency to know what the brief left out. The marketing team knows exactly what they want: which workflows drive revenue, where nuance matters, when a human needs to stay in the loop. The technical team can build exactly what they're told. The gap is that one side can't see what the other knows is missing.

That gap is only closed by someone who speaks both languages natively — who has run the campaigns and built the systems, and knows from experience where faithful execution without judgment produces something that technically works and practically fails.

Since early 2024, Justine has spent her full attention on one question: how do you use AI to replicate the work that great marketing employees do — with the same judgment, the same contextual awareness, the same ability to know when not to act? It became years of building at the intersection of deep marketing expertise and real AI fluency — iterating through failures, developing taste for what good AI output actually looks like in a marketing context, and learning where the seams are between what can be delegated and what can't.

Compound Loop is what came out of that work — the product of sustained focus from someone who has operated on both sides of the gap, and knows, specifically, what it takes to close it.

04 · The Infrastructure

What AI marketing systems actually look like.

Every growth strategy has workflows that are working and workflows that are draining the team. Usually it's the same ones. Compound Loop builds the AI layer around those — scoped, handed off running. These are examples, not a menu. If none of them match your situation exactly, the more useful question is which workflows in your business are the best candidates to systematize first.

Paid · Meta

Meta Ads Pipeline

Brief in. Campaign draft out. What used to take days starts with a conversation.

Answer a 20-minute strategic interview — campaign goals, target audience, brand direction — and a pipeline of agents handles the rest. You get static creatives in multiple variants, headlines and primary ad copy, and a fully drafted campaign uploaded directly in Meta Ads Manager. The copywriting and creative iteration move from your team to the system.

Inputs
Campaign goals
Target audience
Creative direction
Creative parameters
Outputs
Static creatives (1:1 / 9:16, multiple variants)
Headlines + primary ad copy
Campaign drafts in Meta Ads Manager
Meta Ads Pipeline — 3 creative variants in Meta Ads Manager
Content · Social

Content Engine

Content that runs on a schedule — not on whoever had time that week.

Without a system, content runs on willpower. Good weeks publish. Bad weeks go dark. This one holds your brand voice, positioning, ICP pain points, and a running backlog of ideas — and drafts from that context consistently, whether your team had six free hours or two. Every piece of published content feeds back into the system and sharpens it over time.

Inputs
Brand voice samples
Brand positioning
ICP pain points
Content backlog
Outputs
Ideas and angles
Drafts (newsletter, blog, social)
Published-ready content at cadence
LinkedIn Content Engine — Idea Backlog
Org · Multi-agent Built

Agentic Marketing Organization

Your team stops running execution. The system does.

Brief intake, lifecycle, paid, content QA, reporting, and ops handoffs — each agent owns a lane and routes to the next. They escalate to a human on judgment calls. You keep the decisions. This is what a 2-person marketing team looks like when it operates like a 10-person one.

Inputs
Existing tool stack
Team SOPs
Brand voice
Outputs
12 named agents
Inter-agent routing
Human-in-the-loop console
Agentic Marketing Organization — live agent dashboard
Custom · Any workflow

Built Around Yours

Your workflow is different. Let's build your system for it.

Any process your team runs repeatedly that's both high-value and a consistent time sink is a candidate. Think about where that overlap lives in your business: the workflows that matter most and cost the most time. Those are the ones worth turning into systems.

You bring
The workflow
Your process and tools
What good looks like
We deliver
A scoped AI system
Trained on your business
Handed off running
CANDIDATE WORKFLOWS
Campaign QA and reporting
Lead nurture sequences
Partner content production
Weekly performance reviews
Any of these. All of these. Something else entirely.
05 · How It Works

Four steps. One system. Your team runs it.

The total demand on your time is one hour per week. The rest belongs to Justine.

01
Week 1

Scoping Call

Start with a single one-hour call. You walk Justine through your current marketing operation: what's working, what your team is spending time on, where the bottlenecks are. Not an audit — a real conversation about which workflows are worth translating to AI and where the highest-ROI place to start actually is. After the call, you'll receive a proposal with specific workflows, delivery timeline, and price. No ambiguity.

02
Build Phase

Translation

Justine takes your existing marketing plays and builds the AI systems that run them. She's hands-on in the build. You have one check-in per week to review progress, flag anything that's drifting from how your team actually operates, and make real-time decisions. Everything else is async.

03
Handoff Week

Handoff and Training

Your team learns the system by using it — not by reading a manual. I run your actual workflows through the system together, in real time. I document what each AI worker does, what triggers it, and where your team makes the judgment calls. Your marketers leave this week knowing exactly how to manage their AI workers.

04
Ongoing

You Run It

The system belongs to your team. Compound Loop is not in the loop unless you want it to be. If you want ongoing iteration as your strategy evolves, a retainer is available. But the system is designed to work without me — because the last thing you need is another dependency.

06 · Fit

This isn't for everyone. Here's the line.

Good fit
✓ You're generating revenue and want to protect the hours that grow it
✓ You need high-impact solutions that ship in weeks, not months
✓ You have a growth strategy and workflows already in motion
✓ You want a finished system handed off — not a new retainer dependency
Not a fit
✗ Your growth strategy is still being figured out — no playbook yet, no repeatable workflows
✗ Decisions, approvals, and feedback move slowly on your side
✗ Your first instinct when facing a workflow problem is to find the right SaaS tool for it
Justine Sakowicz
From the founder

I've been a consumer marketing operator for 15 years. I wasn't advising on the results — I was responsible for them. At Glowforge, that meant owning a $10M+ cross-channel marketing budget, leading a 20-person team, building and running a 100-person creative partnership program, and creating the segmentation strategy that fundamentally changed how the company acquired customers. I also led the go-to-market for their first hardware product launch in eight years. Before that, I created Beaumade, an augmented reality iOS app, and grew it to 100,000 users and 30 designer partnerships from a shoestring budget.

That background meant I'd been on the receiving end of every version of this problem. The vendor who built exactly what I described but got the brief wrong because they didn't have the marketing context to know what I'd left out. The consultant who diagnosed everything correctly and handed me a roadmap I still had to figure out how to execute. The internal hire who needed six months of context before they could ship anything independently.

When I started building seriously with AI in 2024, I wasn't looking for productivity hacks. I was looking for something that could carry execution the way a great hire does — with context, judgment, and a feedback loop that improves over time. That required being fluent in both what good marketing output looks like and how to build systems that produce it. Most people have one. The work Compound Loop does lives at that intersection — and there aren't many places you can go to find it.

Justine Sakowicz Founder · Compound Loop
Where to start

You know AI will change how you work. The next step is a scoping call.

One call, 60 minutes. No pitch. Just actual discussion or actual problem solving.