Every conversation starts from zero
You explain the business again, paste the context, fix the answer and close the tab. Tomorrow you do it again.
AI Operating Systems & Growth Marketing
Your operation running on the AI processes that run ours.
A second brain installed in your company, already loaded with the agents, skills and protocols we use every day to prospect, serve customers, produce content and publish.
99 processes · 13 repositories · installed in 07 days
The bottleneck
You already use AI. It still doesn't know your business.
The limit isn't the model's intelligence. It's what the model can see of your company, which today is almost nothing.
The knowledge is scattered
WhatsApp, email, documents, spreadsheets and the heads of two people. AI reaches none of it.
New tool, no process
A new app shows up every week. None of them becomes a way of working that repeats without you.
The mechanism
Context first. Processes second.
- 01
The second brain
The company's knowledge leaves the chats and the people and goes to one place, in files you own, that any AI can read.
- 02
The processes, installed
On top of that context come the skills, the protocols and the agents: repeatable work becomes a command.
- 03
The operation, running
The first real job runs on your data. From then on, each cycle leaves context for the next one.
What gets installed
99 processes, across 8 fronts.
None of them was written to sell. Each one came from work we used to do by hand, got wrong, fixed and turned into a command.
Knowledge that doesn't get lost
18 processesClasses, meetings and documents become linked notes, and the AI reads them before acting.
- Online class extraction and ingestion
- Local audio and video transcription
- Transcript curation
- Source ingestion
Agents with a defined job
14 processesEach one does one job, start to finish, and reports when it's done.
- Prospecting agent
- Meetings agent
- Research agent
- Vault assistant
Prospecting that finds and reaches out
12 processesFrom public data to the ready message, with the proof for each pain point.
- Digital Service X-Ray
- Public data scraping
- Zero-cost public data collection
- Topic mining from comments
Offer and copy with method
15 processesMechanism, positioning, funnel and page, one process for each piece.
- Offer mechanism
- Offer building
- Positioning
- BrandScript
Content that ships every week
10 processesFrom the topic to the rendered carousel, checked before publishing.
- Viral carousel
- News carousel
- Carousel engine
- LinkedIn post
Video and image without a studio
14 processesCuts, captions, motion and generated images, from the raw recording.
- Motion over talking-head video
- Long-video cuts
- Scripted cut and captions
- CapCut editing
Pages live, and measured
13 processesFrom the requirements document to the audit before publishing.
- Landing page PRD
- Landing implementation plan
- Landing implementation
- Pre-publish audit
Ads with a standard
3 processesAudit, account structure and operation with locked naming.
- Google Ads
- Meta Ads
- MEIQR
MEMORY
See how a company's memory grows.
Every decision, process and conversation becomes a note. Notes link to each other, and the agents read that context before they act.
Below, an example company's memory over its first year. Month 12 is a projection.
20 notes and 29 links between them.
55 notes and 106 links between them.
130 notes and 339 links between them.
20 notes·29 links
55 notes·106 links
130 notes·339 links
drag to rotate · scroll to zoom · click a point- Context
- Decision
- Execution
- Result
- Memory
Each cycle leaves context for the next one.
Example company. The same structure runs my own operation: 1,056 linked notes.
The squad
One context at the center. One agent for each job.
They all read the same second brain, so none of them needs you to explain the company again.
-
Prospecting agent
Works at two depths. In a sweep, it finds real businesses in a niche and city, with one qualification line each. In an x-ray, it goes deep on one target, names the pain points with the review that proves each one, and writes the outreach message.
-
Meetings agent
Answers questions about documented meetings, summarizes the week, gathers the action items and documents new transcripts.
-
Research agent
Researches a topic on the web, synthesizes what it found with the sources and saves the result as a note in the vault.
-
Vault assistant
Answers about projects, people, decisions and notes from the vault, always citing the source note.
-
Persona reviewer
Reads a landing page, a piece of copy, a carousel or an outreach message the way the real buyer would: a section-by-section monologue, objections and a scored verdict. The persona comes from real data, never invented.
How it works
From the call to the first job running.
- 01
30-minute call
You tell us what you want to solve. We tell you what fits and what doesn't.
- 02
We map your context
A form maps your sources, your tools and the jobs to automate.
- 03
Installed in 07 days
The system is built on your real data, the first job runs, and you own everything.
Book a 30-minute call.
You leave it knowing which processes solve your bottleneck now and how long they take to go live.
Questions, answered.
Do I need to know how to code?
No. You ask in plain language and the system executes. Installation and training your team are part of the delivery.
Does it work with the tools I already use?
Yes. The system sits above what you already have and connects to it: CRM, email, Drive, Slack, WhatsApp. It doesn't replace your systems, it gives them shared context.
Who keeps my data?
You do. The system runs on your own accounts and infrastructure, and you approve every access it gets.
Do I get every process in the catalog?
No. On the call we pick the ones that solve your bottleneck now. The rest stays available to add later, on the same base.