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person Dmitrii Bolotov

The 'Deterministic' Bet: Why I'm building QuotyAI to be reliable, not just 'chatty.'

#AI #automation #small business #coding agents #deterministic AI
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Every AI sales tool demo you’ve seen has the same beat.

The founder says “watch this.” They type “what’s the price for 10 users?” The AI types back a number. Everyone claps.

No one asks the important question. What happens when you type “my customer is a friend, give them 20% off and waive the setup fee”?

Right now, one of two things happens:

  1. The AI hallucinates a number.
  2. The founder says “oh, we don’t support that yet, you need to talk to our solutions team.”

That’s the gap.


The Hidden Cost of “Chatty” AI

Most current AI agents are fancy receptionists.

They can answer questions you’ve already anticipated. They can repeat things you wrote down in a knowledge base. But the second you need something even slightly custom? They break.

Want to give a repeat customer a discount? Need to adjust pricing for bulk orders? Have a special rule for clients who pay upfront?

You still need a developer. You still need an analyst. You still need to wait three days while someone writes custom code for your exact business logic.

“The most dangerous AI isn’t the one that says ‘I don’t know’—it’s the one that confidently gives you the wrong answer.”

This is why only big companies have good automation. They can afford to pay teams of people to translate business rules into code.

Small business owners can’t. They’re stuck between:

  • AI that lies
  • Spreadsheets that break
  • Paying $150/hour for a developer every time they want to change something

This is not acceptable in 2026.

Diagram comparing capabilities of chatty AI receptionists vs deterministic coding agents

The Coding Agent Is The Heart

Here’s the bet I’m making.

The most important part of an AI assistant is not its ability to write emails. It’s not its ability to sound human. It’s its ability to translate natural language into working, tested code.

“The best AI doesn’t chat with you—it implements your decisions.”

When you tell QuotyAI “regular customers get 15% off, and if they order over $1000 they get free shipping”, it doesn’t save that as text. It doesn’t put it in a vector database. It doesn’t try to “remember” it for next time.

It writes this:

function calculateDiscount(customer: Customer, order: Order): number {
  let discount = 0;
  
  if (customer.totalOrders > 3) {
    discount = 0.15;
  }
  
  if (order.total > 1000) {
    order.shipping = 0;
  }
  
  return discount;
}

Then it runs it. Exactly. Every single time.

No hallucinations. No surprises. No “I’m sorry, I don’t understand that rule.”

You don’t need to know how to code. You just need to be able to explain your business rules in plain English or any other language.

💡 Unique Insight

Every business owner is already a programmer. They just don’t know it. The rules they carry in their head are already logic—they just haven’t had a tool that can speak their language until now.

This approach follows the principle of deterministic computing[1], where given the same inputs, the system will always produce the same output—critical for business operations where consistency equals trust.


Democratizing The Enterprise Stack

For 20 years, big companies have had something small businesses never got:

Data.

Not just “how many orders did I get” data. Real decision-making data.

“Which discount rule actually makes me more money?” “What’s the average lifetime value of customers who found us on Instagram?” “Which product combination do people buy most often on Tuesdays?”

You needed a data team. You needed a BI tool. You needed someone to write SQL queries. No small business owner has time for that.

QuotyAI changes this.

Because every business rule is code, every conversation is structured, every interaction is tracked. The omnichannel inbox doesn’t just store messages. It extracts every piece of data that matters to your business.

💡 Unique Insight

The real value of AI isn’t in answering questions—it’s in automatically asking the right questions that you didn’t even know to ask.

You don’t need to build dashboards. You don’t need to write reports. You just ask.

“How much revenue did we lose last month because we forgot to apply the bulk discount?”

And it will tell you. Exactly.

This is the kind of capability that used to cost $10,000/month in enterprise software[2]. Now any cafe owner, any homestay operator, any solo founder can have it.

Diagram showing business capability access comparison between enterprise and small businesses

No More Middlemen

Here’s what everyone is missing.

You don’t need an AI that can have a conversation. You need an AI that can implement your decisions.

Right now the chain is:

  1. Business owner has an idea
  2. They explain it to an analyst
  3. Analyst explains it to a developer
  4. Developer writes code
  5. Two weeks later, it works (maybe)

QuotyAI collapses this chain into one step.

Business owner explains it to the AI. Three seconds later, it’s running in production.

No analysts. No developers. No Jira tickets. No alignment meetings.

💡 Unique Insight

The biggest productivity gain in history won’t come from AI writing code faster. It will come from eliminating all the people between the person with the idea and the code running in production.

This is not incremental improvement. This is a paradigm shift.


What This Actually Means For You

If you’re a small business owner today:

  • You can stop staying up until 11pm answering the same 5 questions on 6 different apps.
  • You can stop worrying that your AI will promise a discount you didn’t approve.
  • You can stop paying developers $500 to change a pricing rule.
  • You can actually have the same data capabilities that companies 100x your size take for granted.

You don’t need to be a coder. You don’t need an MBA. You just need to know your business.

That’s the bet. That’s what I’m building.


I’m building this in public. Every mistake. Every win. Every late night coding session.

If you’re tired of AI that sounds impressive but falls apart when you need it to actually do work, you’re in the right place.


References

[1] Deterministic System - Wikipedia
[2] Gartner - 2026 Enterprise Software Pricing Trends
[3] MIT Sloan - The Productivity Paradox of AI
[4] TypeScript Documentation - Type Safety
[5] OpenAI Research - Code Generation Capabilities


Frequently Asked Questions

Q: How does QuotyAI handle custom business rules?
A: QuotyAI converts natural language business rules into working, tested TypeScript code that runs exactly every time, with no hallucinations or surprises.

Q: Why are most current AI agents unreliable for business?
A: Most AI agents are “chatty” receptionists that can only answer pre-anticipated questions. They fail at custom logic, requiring developers to implement actual business rules.

Q: What makes QuotyAI different from other AI tools?
A: QuotyAI collapses the entire business automation chain into one step: explain your rule in plain language, and it’s running in production in seconds.

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