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 company in one brain.
Your operation running on AI that knows your business.
- 99 processes
- 8 fronts
- Built with you
- You own it
Everything your company knows moves to one place the AI reads before it acts. On top of it run the same processes we use every day to prospect, serve customers, produce content and publish.
The bottleneck
You already use AI. It still doesn't know your business.
AI only sees what you paste into the chat. That's almost nothing of your company.
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 method
Context first. Processes second.
- 01
The company in one 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 processes and the agents. Work that repeats now comes out of a single request, without explaining the company again.
- 03
The operation, running
The first job runs on your data during the installation. From there, every delivery leaves the AI knowing more about your company.
What gets installed
99 processes, across 8 fronts.
Each one came from work we used to do by hand, got wrong, fixed and turned into a process.
Knowledge that doesn't get lost
Classes, 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
Each 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
From 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
Mechanism, positioning, funnel and page, one process for each piece.
- Offer mechanism
- Offer building
- Positioning
- BrandScript
Content that ships every week
From the topic to the rendered carousel, checked before publishing.
- Viral carousel
- News carousel
- Carousel engine
- LinkedIn post
Video and image without a studio
Cuts, 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
From the requirements document to the audit before publishing.
- Landing page PRD
- Landing implementation plan
- Landing implementation
- Pre-publish audit
Ads with a standard
Audit, account structure and operation with locked naming.
- Google Ads
- Meta Ads
- MEIQR
MEMORY
Watch the memory grow.
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 our 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.
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02 We map your context
A form maps your sources, your tools and the jobs to automate.
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03 Installed with you
The system is built on your data, the first job runs, and you own everything.
Book a call
Book my call 30 minutes to find out what your company can already run on AI.
You leave the call with the processes that solve your bottleneck now and the timeline for each one to go live.
Before you book.
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 on top of what you already use and connects to CRM, email, Drive, Slack and WhatsApp. Your systems stay where they are and start working from the same 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.