Stop chatting with AI. Start building AI sandwiches.
Why chatting with AI is just manual labor disguised as technology (and how to fix it).
Ninjabot delivers ready-to-deploy sales AI and automation tools that allows business operators to stop doing busywork and start managing leverage.
Most small businesses are burning cash on AI.
They buy ChatGPT Business accounts for the whole team. They tell everyone to use it to be more productive.
They call this innovation.
I call it the copy paste tax.
Here is what actually happens:
Employee gets an email.
Copies text.
Switches tabs to ChatGPT.
Writes a prompt (which varies every time).
Waits.
Copies the result back to the CRM.
This isn’t a system. It’s manual labor disguised as technology.
It creates three massive problems:
Inconsistency: 3 employees write 3 different prompts. You get 3 different outcomes.
Distraction: Switching context kills deep work.
Data Leaks: Copy-pasting sensitive client info into public chat windows.
If you want a leveraged business (one that produces non-linear results from linear effort) you have to stop chatting with AI.
You need to build the AI sandwich.
The architecture of an AI sandwich
I have a simple rule: humans should manage the machine, not do the machine’s work.
You don’t want to replace the human. You want to elevate them.
You want them to stop being the data mover and start being the quality control.
To do that, you wrap the AI in a system. It looks like this:
1. The Top Bun (Automation)
This is the trigger. It grabs data from the source (email, app, database, etc.)
It is 100% accurate.
It cleans the data.
Result: The AI only sees exactly what it needs to see. No prompt engineering required by your staff.
2. The Meat (AI)
This is where the magic happens. You pass that clean data to an LLM.
You give it a specific job (analyze, filter, rank, etc.)
You treat the prompt as a function, not a conversation.
Result: The AI processes the request instantly, predictably, and with a minimum of hallucinations.
3. The Bottom Bun (Automation)
You take the AI’s output and force it into a strict format (like JSON).
You route it to the destination (CRM, task management, etc.)
Result: The data is ready for human review.
4. The Human (enjoying the AI sandwich)
Now, your expert steps in. Instead of doing the reading, copying, and pasting, they simply look at the result. They moved from laborer to operator.
How it works
I recently implemented this for a client who had a team of 5 people screening open government tenders every day.
These were highly paid experts wasting 2 hours every morning reading irrelevant documents to find the 1% that mattered.
We built a system that:
Automatically scans new tenders every morning (top bun).
Uses AI to analyze if the tender fits the company’s specific products and services (the meat).
Pulls the data into their Tender Management System (bottom bun).
And we’ve also built a new Tender Management System for them using low-code tools (mainly SmartSuite).
The team now logs in at 9:00 AM. The system presents them with the top 5 relevant opportunities. They just click “Approve” or “Reject.”
Week 1: 70% accuracy.
Month 2: 90% accuracy.
Time Saved: 50 hours/week.
ROI: System paid for itself in under 3 months.
You don’t need expensive enterprise software to get this leverage.
For most custom implementations like the one above, I recommend a simple, powerful stack: n8n for the workflow automation, OpenRouter to switch between the best AI models cheaply, and Supabase to store the data.
It is flexible, scalable, and costs a fraction of hiring another admin.
Stop scaling chaos
The goal isn’t to use more AI. The goal is to do less busywork.
When you build systems, you remove the hustle from your day. You stop being the bottleneck.
You build a machine that works while you sleep, so your team can focus on the work that actually requires a human brain.
Stop chatting. Start building sandwiches.
What is the one boring task you are still doing manually because you don’t trust AI to handle it yet?
Reply and let me know. I read every response and try to reply to everyone.
– Yuri
🔧 Tools & Resources
ParseStream: Reddit lead generation without the spam. Best for finding high-intent leads discussing your problem right now.
Cal.com: Open-source scheduling that you actually own. Best for teams who need deep customization or white-labeling for booking flows.
Airtable Template Library: 100+ pre-built bases for every workflow. Best for jumpstarting your custom CRM, content calendar, or project tracker in minutes.
P.S. Whenever you’re ready, there are 2 ways I can help you:
1. Join FutureBrief Premium, stop building alone. Get instant access to our private group chat for troubleshooting, Q&As with me, and The Operator’s Almanac (a living library of proven automations, SOPs, and mental models to build a business that runs without you).
2. Let us build the machine for you. If you are an operator scaling past $1M and want to remove yourself from the daily grind, my agency can audit your ops and build this entire ecosystem for you.
You can keep paying the copy-paste tax every day. Or you can build a system that pays you back. The choice is yours.