Built from our conversation. You're already AI-first, so this isn't a pitch to adopt AI. It's the map of where the orchestration gaps are, what they're costing you, and the fastest path to your 3x launch goal.
"Triple our monthly client launch capacity while saving costs due to increased team productivity."
The fastest path: install the operating system everything runs on (and finally syncs across your team), then build the content-audit funnel you're already moving on, take the busywork off sales and onboarding so launches climb toward your 3x goal, and give your writers a QA co-pilot that protects the craft instead of replacing it.
This is built from one discovery call plus research. It gets sharper once Walt interviews your leaders and we lock the numbers to your real launches.
Strip away the stack and the tactics, and the roadmap comes down to three moves.
Compress the two things gating your launches, scripting and onboarding, so monthly launch capacity climbs without a proportional jump in headcount.
You have the tools, the AI, and now a developer. What's missing is the layer above them, and the one piece nobody has solved: syncing all of it across 140 people.
Kill the AI slop, not the writers. Protect the craft your brand is built on while taking the busywork off your team.
Four of your core workflows, side by side. Each one breaks at the same kind of place: a manual, by-hand step where time leaks and launches slip.
Where it breaks: every funnel is a manual rebuild, so a 2-week idea takes far longer and never ships clean.
Where it breaks: revision cycles pile up, writers fall behind on other clients, and launches slip.
Where it breaks: 2 to 4 weeks per launch, and it's the ceiling on how many clients you can take on.
Where it breaks: data shows up late or not at all, so the numbers your dashboards depend on are already stale.
Conservative estimates of the hands-on time those manual steps eat, framed for a 140-person team. These are placeholders to be tightened after Walt interviews your leaders, not billed hours.
~9 full-time roles
of capacity going to work the operating system can carry
≈ 350 hours/week recovered across the team (conservative: ~2.5 hrs/week/person × 140)
Scripting revision tax
~half of editing time
on the #1 bottleneck · recoverable
Funnel rebuilds
days per funnel
rebuilt by hand in GHL → minutes
Sales data lag
2 to 3 days per call
+ manager review time · recoverable
Launch ceiling
2 to 4 weeks per launch
caps new clients · the lever on 3x
The real prize isn't the saving, it's hitting your 3x launch goal without 3x the payroll. These are conservative estimates we confirm with your leaders.
You're already AI-first. The next gain isn't another tool, it's the layer that ties the ones you have together.
Stack another AI tool or build another standalone dashboard. Each one helps, and each one is another island.
An operating system that orchestrates your tools, your AI, and your dashboards, and syncs across the whole team.
Five components, wired into one system that already knows Media Scaling.
Not another tool to log into. A system that runs across the platforms you already own, works the same for every person, and gets smarter as it grows.
Your brand rules and standards written once, so every workflow pulls in the same direction instead of inventing its own.
Three repos and one sync command, so improvements spread across 140 people and nobody overwrites anybody. This is the part nobody has solved for a team your size, and the reason your developer's dashboards become a system instead of islands.
Every meeting and client Slack channel ingested into one second brain, so anyone can ask what's happening on any account and get a real answer.
Wired into GHL, Fathom, Hyros, Link, Alaware, your real stack, so every build runs on true data instead of a sandbox.
The whole company on one screen, with buttons instead of the terminal so the whole team can use it, not just your developer.
The engine that runs it (Claude today) is swappable without rebuilding the system. Last year, picking an AI was a strategic decision. Today it's a billing decision. You own the system; the model just plugs in.
A library tailored to your workflows. Tap any card to see the specifics. We push new skills into your OS every month, so it only grows.
Protects the writer, kills the slop
The Poppy replacement
From a creator's channel
Plans by proven format
3 hooks per video
Post-call form, filled
For the sales manager
Replaces thin notes
Sharper reps
By load, not by who's free
Drive + timestamps + ranking
Social + tracking dashboards
Nothing sits idle
On Vercel, in minutes
From a call
The "free with code" anchor
A spin-up, on the same system
One screen
Spot risk early
Self-updating
Across every system
Every call, captured
Channels into memory
Across the team
Process, written once
Auto-flag missed tasks
You're already AI-first and you've got a developer. So this isn't about adopting AI. It's the operating system that ties it all together, synced across your team, and exactly how we'd put it in your hands.
Not another tool to log into. A system that already knows Media Scaling, runs across every platform you own, and works the same for every person on the team.
Assigns the team by capacity, builds the content database, and gets the first batch moving so launches happen in days, not weeks.
Clears the AI slop before it reaches your writers, so they spend their time on craft, not cleanup. The human stays the author.
Fills the post-call CRM form from the Fathom transcript, and flags the almost-closed calls your manager should be training on.
Spins up funnels and landing pages on Vercel in minutes, and turns each audit call into a finished, branded PDF.
Wires the dashboards your developer is building into one live brain the whole company reads from.
Your developer, multiplied. Spins up new tools, agents, and sites on request, on a foundation that's already wired in.
Five real builds, wired together into one operating system. The middle one is the piece nobody has solved for a team your size, and the reason your developer's dashboards become a system instead of islands.
It runs Media Scaling the way you would, not the way a generic bot guesses.
The problem. You already know this one. Generic AI gives generic answers, which is exactly why every script comes out as the same slop in slightly different words. Without your standards, your formats, and your voice written in, it drifts, and your team spends more time correcting it than using it.
This is the part almost everyone overbuilds. Getting it right is what makes the whole system feel like you.
Standards and format buckets encoded so the script co-pilot and every workflow pull in the same direction instead of inventing their own.
Most setups bloat until every task drags a wall of text, slower and quietly burning money on every run. We keep the core lean.
When a script gets kicked back, the fix gets written in, so the panel gets smarter every time instead of repeating the same misses.
It knows where everything lives and who owns what, then hands off cleanly across departments.
The one nobody has solved: all of this, synced across 140 people, without overwrites.
The problem. You said it yourself. The hard part for a team is keeping everyone in sync, so when one person improves something, everyone gets it, and nobody overwrites anyone. Bolt AI onto a messy setup and you get a faster mess: files scattered, every machine on a different version, your developer's dashboards living as islands.
This is the difference between a system that scales to your whole team and a clever setup that only works on one person's laptop.
Approved skills and agents, live work and sites, and the memory. Nothing collides, nothing gets lost.
Push your work to the whole team in one step. It checks what everyone else changed first, so improvements spread and nobody clobbers anybody.
The dashboards they're building plug into this instead of standing alone, and they learn the architecture to extend it.
Every change versioned and pushed. Nothing important sits in one spot a bad day can erase.
It remembers every client, every decision, so the team never re-explains anything.
The problem. A chatbot forgets you the moment you close it. Every session restarts from zero. That's why your OpenRouter prospect notes are three thin paragraphs and your AI never feels like it actually knows the account.
This is the one thing that turns a pile of AI tools into an operating system.
Calls and client Slack channels flow into one second brain automatically, so anyone can ask what's happening on any account and get a real answer.
Captured in a shape it can actually find and use later. Raw memory is a trap; the structure is the hard part.
Notes distilled into a connected knowledge base that gets smarter as it grows, not heavier.
A single brain the whole team and every tool reads from, so sales, ops, and leadership work off the same facts.
It works on your real business, on the tools you already run.
The problem. Most AI lives in a sandbox, disconnected from the tools you actually use. The hard part isn't connecting, it's knowing what each platform can truly do, and most people promise things their tools simply cannot deliver.
It's the difference between a promise and a result.
Plugs into GHL, Link, Alaware, Hyros, Fathom, QuickBooks, Notion, and Google, instead of asking the team to move to something new.
Every platform has a ceiling. Knowing which connect cleanly and which need a workaround is the whole game, and we've already mapped it.
Wire the few that unlock the most (the funnel, Fathom, GHL), then expand. Not everything at once.
Once connected, every new build has something true to run on, and each one after gets easier.
The whole company on one screen, and the buttons that run it without the terminal.
The problem. The intimidating part for a 140-person team isn't the power, it's that not everyone wants to live in a terminal. So the capability sits with a few people and never reaches the team.
This is the layer that makes the OS usable by everyone, not just your developer.
Company pulse, client health, workload, and pipeline live, instead of ten tabs and a month-end scramble.
Onboard a client, build a funnel, run an audit, end-of-day wrap, all one click, so the team uses the OS without learning the terminal.
Each person sees the views and the skills that matter to their seat.
Instructions, memory, and connections all surface here, in one place you own.
Three ways in. For where Media Scaling is right now, the Department Engine is the one we'd point you at: we build the flagship engine alongside your developer, co-build the wins with your team, and roll it out, all of it built to train your people so you own it. The other two are here if you want to start smaller or go further.
The OS installed on your three core seats, both founders and your developer, so the people who matter feel it daily.
The base, plus one flagship engine built alongside your developer, the quick wins co-built live, and the OS rolled out to your people. The full plan is below.
The expansion, once the engine has proven out. Where Media Scaling becomes the AI-native agency in your category.
The OS install and team-sync are flat, no matter how many people are on it. We price by what we build for you, not per head, so a 140-person team isn't penalized for being big.
Not a drop-and-go, and not us building in a corner and tossing it over. The whole point is training: we build it with your developer and your team so you own it, not us. Month one is a focused build sprint. Months two and three are calibration, tuning it on your real work and rolling it out. (Want us to just build it for you instead? We can, as an extra.)
We get the bones in. The OS and team-sync installed on your core seats, your transcript tools set up (Fathom plus the reel and video puller), meeting and Slack ingest running, and your custom dashboards stood up. The connections that matter, GHL, Fathom, Drive, Hyros, wired in.
The foundation is live, and everything is being captured and synced.
We build a few high-value skills live with your team, so they see how it works and own it: the Fathom-to-GHL autofill that kills your post-call form, deeper prospect-research notes, and a script QA co-pilot that clears the slop so your writers stay on the craft. (If you take the Funnel Sprint add-on, we build that here too.)
Your team has real wins in hand, and starts to see how to build.
We build the one big engine together, with your developer driving and us guiding, so your team learns to build it and owns it. The default is the Launch Engine: compress the 2 to 4 week client launch so you assign by capacity, auto-build the content database, and get the first batch moving in days. The most direct lever on your goal to triple launch capacity. (Prefer the Sales Engine? We build that one with you instead.)
Onboarding stops being the ceiling on how many clients you can take.
The engine meets reality. We tune it on your actual launches and scripts, bring more of the team onto the OS through the dashboard (buttons, not the terminal), and give each person the views and skills for their seat. We stay on calls with you, fixing and sharpening as you use it.
It stops being a demo and becomes how your team actually works.
Your developer and leaders are now self-sufficient on the architecture and building their own. Through GrowthHub we keep pushing new skills into your OS every month, so it compounds instead of freezing the day we finish.
Capability you own, that gets better every month.
One engagement, split across the three months we are working together. No big lump sum up front.
What you start with is the worst it will ever be. New skills and updates ship into your OS every month, instead of a tool that freezes the day you buy it. Pick the level of hands-on you want.
We keep your OS current: new skills and drops pushed in every month, plus a regular check-up on what you've got so nothing goes stale. Includes five of your team in the weekly group calls, and a monthly check-in with us. The system keeps getting better instead of freezing.
Everything in GrowthHub, plus a dedicated Slack channel and a direct line to us, so we're connected to your real setup, answering and building alongside your team as you go. The peer-to-peer partnership tier.
If your OS isn't set up and running the way we promised within two weeks of kickoff, we keep working until it is, or your money back. The risk is on our delivery, not on you.
A quick call to choose the first engine, lock the numbers to your real launches and hours, and answer anything open. We can even build a piece of it live on the call.