I take one process in your business — replying to enquiries — and lift one number in it. Upfront payment is zero: first a free measurement, and your starting point written down. You pay only a share of the uplift — and only once the number has grown and a second measurement shows it.
Free measurement of your reply funnel Your reply funnel is the path an enquiry takes from “they messaged you” to “they booked”. Message me on Telegram — I answer within the day. The measurement commits you to nothing: the numbers are yours to keep.I measure your current number as a mystery shopper: I write in the evening and at the weekend, time your replies and count what’s lost. We put the starting point in writing — so there’s nothing to argue about later.
It costs zero. The numbers are yours even if we don’t work together after that.
I put an agent on your process: it replies on behalf of the business along scenarios we’ve agreed, works out what the person actually needs, and moves them towards booking. Anything the agent isn’t sure about goes to a human.
After an agreed period we measure again. If the number reached the threshold, you pay the agreed share of the uplift, with a cap and a deadline. If it didn’t, you pay nothing.
I label every number with its honest status — the same way I do in client reports. You won’t find promises of growth “several times over” here.
That’s how many checkable facts (prices, links, promotions) my agent verifies every week on a paid travel-guide site. It has surfaced 26 discrepancies, each with evidence; six were critical, including a discount promised in two different cities at once.
✅ fact — running in productionAn estimate of what a landlord with six flats loses to a manual monthly cycle: hours of routine, errors in utility reconciliation, late payments. Three scenarios; the rates and some of the figures are market assumptions.
🟡 hypothesis — to be confirmed by measurementA sector-wide measurement will go here: I’ll go through 10 companies as a mystery shopper and publish how many of them lose enquiries sent in the evening. Your company can be one of the ten — free of charge.
📌 plannedEvery agent can be seen in action. The demos run on made-up data — break them, ask awkward questions.
Answers incoming enquiries on behalf of the school: works out the person’s level and goal, suggests a course and a date, moves them to a booking. Anything unclear goes to the office.
Once a week it checks 235 facts on the site: prices, affiliate links, promotions. It sends the owner only the discrepancies — each with evidence. When everything is in order, it stays quiet.
An assistant for a landlord with six flats: bills, messages to tenants, payment tracking, closing the month. The money is counted by ordinary code — the language model is not allowed near the arithmetic.
Before this: 25+ agents in production use at a marketing-analytics platform (2025–2026, my previous job — plus 11 automated routines there, from competitor monitoring to integration-error control) and three apps of my own in the App Store and Google Play — built the same way. Links to all of it are below, in “who does this”.
Every agent eventually meets a question that isn’t in its script. The difference between a toy and a working system is what happens next.
▶ short video: the agent gets an off-script question and hands it to a human — coming soon
0 zł upfront
10–20% of the uplift
Vlad Derkach — product manager and builder of AI agents. Whoever answers your message on Telegram is the same person who builds the agent and answers for the result. No “team of experts”, no handing the work to subcontractors.
There isn’t a single testimonial or screenshot below. Only addresses that open right now — apps in the stores, source code and a working bot. The links lead outwards, to platforms I don’t control.
Three apps released in 2026. Each one passed Apple’s and Google’s review — an outside check, not my word about myself. All three are free and open without registration.
Product Discovery Flow — a pipeline of 15 agents that carries product research from a raw brief to a finished report. It installs with one command. The code is open under the MIT licence: you can see exactly what each agent does, rather than “trust the black box”.
The demo bot runs on made-up data for a sailing school: ask it anything, try to throw it off. It replies in Russian — I built it for a Russian-speaking client. The other addresses are about my path before agent work.
You pay nothing. The before/after measurement and the report stay with you — that’s worth something in itself: you’ll know your reply funnel in numbers. I lose a week of work; that’s exactly why I measure before starting and only take on cases where I can see the number really can be lifted.
So that I earn from the same thing you do. A fixed price pays the contractor even when the result is zero — a share of the uplift doesn’t. And the cap and deadline in a written agreement protect you from a percentage that never ends.
Possibly. The processes that automate well are the ones that repeat daily and live in messages, calls or spreadsheets: bookings, reminders, payment tracking, checking data. Write to me and I’ll tell you honestly whether I’ll take it on. I do say no: if AI won’t solve your problem, you’ll hear that on the first call, free.
Message me the word “measurement” — I’ll go through your reply funnel as a customer, in the evening and at the weekend, and send the numbers back in writing. What you do next is up to you.
Free measurement of your reply funnel