Build your AI-OS Series
The 6 Layers
Hey {{first_name | default: "there"}},
It's Shrey again.
Last email I told you what an AIOS is. A co-CEO level intelligence running your business in the background.
Today I want to show you the 6 LAYERS it's actually made of.
But before I do, I want to put something in your hands.
Stick with me till the end. I left a resource down below that builds the full AIOS shell on your machine in 5 minutes.
Most founders think AI is tools.
ChatGPT, Claude, n8n - wired in together or some AI tool you bought last month.
That's an AI automation, not an AIOS.
An AIOS has a body. 6 layers. Each one does a specific job.
These are the 6 layers I've been building at Sendora. In the order they need to be built.
Layer 1. Context.
Everything your business knows about itself.
Your product, ICP, pricing, voice, SOPs etc. Every decision you've ever made and why.
Without this, every AI conversation starts as a blank stranger. You re-brief the same business 15 times a day. The output reads generic. Sounds like every other startup.
What you build here: one central folder called '/context' that contains everything about your business. That's your brain v0.
The point is to stop re-briefing every time you open a new chat.
The Context-OS brain
Layer 2. Real-Time Intelligence.
Your AI knows who you are. But it has no idea what you're doing, TODAY.
This week's revenue, today's bookings, the call you wrapped 20 minutes ago, and the ad spend from last night.
Mine was working off last week's information. Making decisions based on stale data.
What you build here: pick the 3 tools that produce real business signal for you. Revenue (Stripe). Calendar (Cal, Google). Meetings (Fireflies, Fathom). Wire those in.
The first time your AI answers "how's this week going" with a real number, you realize how blind the first layer was on its own.
Layer 3. Automation.
I took every task that repeats. Like lead gen, follow-ups, reporting, posting. And I handed each one to a system.
One automation replaced a full day of my team's manual work. That's one. We have dozens queued.
What you build here: write down every task you did this week that drained you AND repeated. Circle the one that gives you 5 hours back every week. That's your first automation target.
Layer 4. Agents.
I tried to build one AI that did everything. Sales, marketing, ops, dev, all in one system.
It hit a ceiling and started hallucinating around 3 tasks.
A real company doesn't have one person doing everything. It has departments.
My AIOS is the same. Sales, marketing, ops, and dev agent. They share the same brain. They specialize in different work.
What you build here: write down every function in your business. Create an AI CEO (a Claude agent) that builds the agents with specific role and personality.
Layer 5. Command Center.
By the time I had agents running, automations firing, and a daily brief generating, the output was scattered across web apps, Slack, email, and 12 different tabs.
Same problem I had before AI. Just faster.
What you build here: one screen. Live revenue. Daily brief. Every agent, automation, and data. In one place.
It's the layer that turns the other 5 into a product you actually use. Not a museum of AI toys.
Layer 6. Autonomy.
This is the one nobody builds.
If my AIOS lived on my laptop, I was still chained to a desk. Didn't matter how good the system was.
I wanted to run Sendora from my phone. Even when I am on a walk, or at a cafe.
What you build here: a mobile interface (Telegram bot, WhatsApp, iMessage, whatever) that lets you voice note any task, route it to the right agent, and get the result back on your phone.
Giveaway. Your AIOS blueprint, built in 5 minutes.
I wrote a detailed resource for your Claude Code. Paste it in, and it builds all 6 layers as folders on your machine, then asks you a few questions about your business and fills in Layer 1 for you.
You walk away with a brain your AI can read every time you open a new chat.
It's too long for email, so I dropped it in the free AIOS Skool community:
I'm building this live, so here's where Sendora is right now.
Layers 1 to 4 are live. Context runs off a context/ folder and a wiki that compounds daily.
Intelligence is wired into every tool we use to run ops. Automation is 10X better compared to n8n now as we have more data to work with.
Agents are collaborating with sub agents on daily operations.
Quick favor before you go: I want your honest opinion, what would you like to see more of and how can I make this series worth reading for you.
Talk soon,
Shrey
