The code is entirely yours
It lives in your repository and its structure is documented. The checks travel with the code, so any developer can continue and break nothing.
Manufacturing, tech startups, retail, marketing and sales. We have been through all of it in our own businesses and brought automation into each one.
Now we have pulled all our expertise together and built a market leader in high-quality automation with AI.
We look at your task through the eyes of an entrepreneur, not a programmer
A programmer will ask which features you need. We will first ask where your business is losing money. Because we have been in your place and know what a mistake costs.
A programmer's questionOur question
First we draw your process as it is. Then we decide what to automate
Automating a mess just gives you a fast mess. That is why, before the first line of code, we make a process map using the SPD technique.
StructuredProcessDiagram
As isWhere automation fits
You can scroll the diagram with your finger
done by code
code and a neural network on one step
decided or done by a person
We do not put a neural network everywhere. Only where it cannot be avoided
Neural networks lie and make mistakes, and in business a single mistake can cost a customer or money. Scroll: here is a 12-step process where a neural network does everything, and here is what we do with it.
How it is usually doneHow we do it
step done by a neural network
step done by ordinary code
the network's answer is checked by code
Steps with a neural network: 12 of 12
Assumption for the calculation: a neural network handles a single step correctly in 95 cases out of 100. That is optimistic.
The rule is simple: anything that can be calculated is done by code
Code: anything that can be calculated
Routes, deadlines, permissions, money, shipments. Code does the same thing today and a year from now, and it can be checked and explained.
Neural network: where code is impossible
High uncertainty, unstructured data, imitating a human: understanding a letter, a conversation, a customer question. A small part of the system, and only that part.
The neural network's answer is checked by code
Wrong format, an invented product, a price not from the price list: the answer is rejected. That is how you get a system you can trust.
A neural network writes code for us, and that speeds up development. But after launch your system runs on ordinary, controllable code, and the neural network occupies only a small part of it.
Fast, cheap, good. Usually you get to pick two
Scroll: with every contractor the third one drops out. With us all three stay.
Vibe coderLarge agencySolo developerUs
Fastlaunch while the task is still relevant
Cheapno salaries of a whole team in the estimate
Gooddoes not break on real customers and money
How. The harness is our own development, in which code controls everything the AI does
Fast
AI writes the code. A volume that takes a team of programmers months, it delivers several times faster.
Cheap
There is no development department payroll in the estimate. You pay for the result, not for the hours of ten people.
Good
The harness does not take the AI at its word. It checks every line, sends defects back for rework on its own, and does not let the work move on until it proves that it works.
✳︎Our unique development
The harness: code controls what the AI does
We wrote the harness ourselves; there is nothing ready-made like it on the market. Usually the AI is asked to write code and the result is trusted. With us, a supervisor program stands between the AI and you. It leads the AI step by step, checks each piece of its work and sends defects back for rework without your involvement. You receive only what has passed all the checks.
The neural network writesfast and a lot
The harness does not trust, it checksdefects go back for rework by themselves, without your involvement
You receiveonly what has passed everything
accepted 0
returned for rework 0
delivered to you with a defect 0
Next, how it works: which steps every task goes through and what the counters show on a live project.
Every task goes through one pipeline. A step cannot be skipped
The harness leads the neural network through these steps and does not let it go further until the current one is closed. Scroll: each step supports the next.
First we agree on what we build
We write
We do not trust what was written
Step 1 of 11
What this gives you
How it supports the next step
A person steps in where a decision is needed. The routine of checking is handled by the machine.
You watch development live
No need to ask "so, how is it going?". You have a project board: which tasks are planned, which are being done right now, which are already finished. It updates itself as the work goes on.
online
Project: online store
0 of 0 tasks done
Planned
In progress
In review
Done
An example from developing an online store. A task that failed the check is honestly sent back to work by the board.
More than half of the code in the project checks the rest of the code
This is a measurement on a live project currently in progress: an online store on top of warehouse accounting. Not a promise, a counter.
36,229 lines run at the customer
38,971 lines check them
One square is about 376 lines. Measured on 01.10.2026, excluding machine-generated files.
843automated checks, all of them run every time
59deliberate breakages: for each one it is recorded which check must catch it
8checks on every code save. A single red one stops everything
57task cards, and for each one it is recorded how it was proven
In the end you have a system that does not depend on the contractor
Including us. We want you to come back for the next project, not because you have nowhere else to go.
- A request becomes an orderconfirmed
- The invoice goes to the customerconfirmed
- Payment is matched to the invoiceconfirmed
- The customer receives a tracking numberconfirmed
A "what confirms it" report
For every task you can see which checks prove it. You accept the work on facts, not on the word "done".
Productsmatches
Customersmatches
Ordersmatches
Verified on your data
Nothing counts as done until it has worked on real products, customers and orders.
first taskeach next one
Illustrative chart: how much effort the next improvement takes
Grows without rewrites
A new improvement goes through the same pipeline and the same checks. Old things do not break, and each next task costs less than the previous one.
What people come to us with
If a task can be described as "it was like this, and it should become like that", we will take it.
Websites and online stores
From a landing page to a store that takes products, prices and stock straight from your accounting system and sends orders back to it.
CRM and accounting integrations
Bitrix24, amoCRM, MoySklad, telephony, messengers. Data stops drifting apart between systems.
Chatbots and AI assistants
They answer customers, qualify requests and hand over to a manager at the right moment. Handover decisions are made by code, not by the mood of the model.
Process automation
Outbound calls, mailings, call analysis, reports. What staff do by hand every day following the same script.
Internal systems and portals
Admin panels, customer accounts, dashboards with your numbers. With access rights and history: who changed what and when.
Tell us your task. We will name the scope and price before we start
You describe the task
In your own words, by voice or in text. No technical brief needed.
We draw the process map
It shows where automation will pay off and where it is not needed. From that come the scope of work and the price.
You accept on facts
A working system on your data and a report showing how each item is confirmed.
TodayGroup, Kazakhstan. Neural-network development with quality control.
Individual Entrepreneur (IE) Fedosseyev Nikita Aleksandrovich · IIN/BIN 890718350370
Address: Kostanay, Gasheka St., 2/1, office 21, Kostanay city, Republic of Kazakhstan
Tel./WhatsApp: +7 775 913 4158 · e-mail: info@projectbar.cfd
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