Do you build custom, or only the four flagship deployments?

The four flagships cover roughly 80% of what operators need. Beyond those, we have shipped 100+ custom builds for clients, usually as part of a Private engagement above $50K. If your need is unusual, mention it in the first message and we will tell you straight.

Deployments start at $15,000 for a single flagship at $1M to $5M revenue. $25,000 at $5M+. $50,000 at $10M+ or for enterprise scope. Bundles and ongoing engagements are priced on the scoping call.

Can I bundle deployments?

Yes. Common bundles: Content Engine + Sell by Chat (audience + conversion), EOS + Content Engine (ops + brand), Ad Manager + Content Engine (full demand stack). Quote together on the scoping call.

What if we already have a tech team?

Even better. We build with your team, not around them. The handoff is cleaner, adoption is faster, and your team keeps the keys after launch.

What stack do you use?

We are tool agnostic. We pick the right combination of LLM providers, automation platforms, and workflow tools for the job. We will not lock you into anything you cannot maintain.

Is there a money-back guarantee?

Yes on the Audit ($5,000). Deployments are scoped, milestoned, and shipped, if a milestone misses, you do not pay the next one until it is hit.

[ 01 ] · Deployments

Productized builds. Operator outcomes.

Four flagship productized deployments. 100+ custom builds shipped beyond them. Each flagship is a working system inside your business in roughly 30 days.

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A white washing machine with one cobalt ball in the drum

[ 02 ] · What is an AI deployment?

Definition.

An AI deployment is a productized AI build installed inside your business in a fixed timeframe (typically 30 days), with the team trained to run it without the vendor. Actionable AI ships four flagship deployments: Content Engine, Ad Manager, EOS Deployment, and Sell by Chat.

An AI deployment is different from AI consulting (advice, no working system), AI software (a tool you buy and have to learn), and AI agencies (project work that disappears after delivery). A deployment is a working system, your team owns it, the vendor stays close until adoption is real.

[ 03 ] · The four flagships

01 / Content

Content Engine

Daily branded content, weekly cycle, on autopilot. The same engine running on Cooper Simson’s Instagram.

Read the full breakdown →

End state

End state: a content engine that ships daily across short form video, written posts, and image. You film what only you can film. The engine handles ideation, scripting, editing direction, captioning, posting, and reporting.

What we build

Daily content output across short form video, written post, and image
Weekly batched production cycle tuned to your voice and offer
Editor in the loop, founder approval only
Repurposing across Instagram, TikTok, YouTube Shorts, LinkedIn
Performance tracking on what is working, what to kill
Voice and brand guide so output stays on-brand without you

02 / Performance

Ad Manager

Meta ads agent that drafts creative, runs structured tests, and reports back like a media buyer.

Read the full breakdown →

End state

End state: replaces the day to day ad agency or in house media buyer. Founder on strategy only.

What we build

Creative drafting tied to your offer, brand, and existing winners
Structured testing framework with fresh creative on a weekly cadence
Daily and weekly reporting on spend, CAC, ROAS, and creative fatigue
Founder dashboard so you can see what is running without asking
Integration with your existing pixel, CAPI, and reporting stack
Kill-and-scale playbook so the team knows what to do without you

03 / Operations

EOS Deployment

An agent fleet that runs the L10s, scorecards, rocks, and accountability chart for ops heavy founders.

Read the full breakdown →

End state

End state: replaces the EOS Implementer. Your leadership team runs its meetings inside a system, not on top of a coach.

What we build

Scorecard automation pulling from real source systems
Rock tracking, accountability chart, and L10 agent in the loop
Weekly meeting prep and follow up handled by agents
Founder dashboard so you see the company at a glance
Issues list captured, prioritized, and routed automatically
Quarterly planning support and historical data ready for the next session

04 / Sales

Sell by Chat

AI sales-by-DM system that qualifies, diagnoses, and closes leads inside Instagram and ManyChat. Same playbook Cooper runs on his own 133K following.

Read the full breakdown →

End state

End state: 1,000+ qualified conversations a week routed automatically, with a human only confirming sends. No SDR hire, no funnels, no booked calls.

What we build

ManyChat front door wired to your Instagram with auto greeter and opener
Six-message qualification, diagnosis, and audit-pitch flow drafted by the Sales Agent
Lead pipeline tracking inside your CRM (or we set one up)
Templated objection handlers, routing rules, and bundle quotes
Stalled-lead reactivation sequence on D1, D3, D5, D8, D13
Founder welcome voice note triggered automatically on every paid close
Daily and weekly reporting on reply rate, qualify rate, offer rate, close rate

[ 04 ] · How a deployment runs

From first call to live system, in about a month.

Scoping call

90 min working call. We surface the highest leverage opportunity and scope the build.

Kickoff

Discovery on workflows, data, and team. We map exactly what the agent needs to touch.

Build

2 to 3 weeks of building in your stack. We bring you in for review checkpoints, not committees.

Adopt

We launch with your team, train them live, and stay close until adoption is real.

[ 05 ] · Questions

Deployment questions, answered.

Roughly 30 days from kickoff to live system on a single deployment. Bundles or custom scope can take longer. We will tell you on the scoping call what is realistic for your situation.

[ 06 ] · Next step

Pick a deployment. Or let us pick one for you.

Tell us about your business in the application. We will tell you which deployment fits, what it will cost, and what it will return.

Apply for a call →