Most of these systems can be tried right now, and my AI assistant on Telegram will answer any questions about projects, pricing and timelines.
Every area already has a working system behind it — and most of them you can try right now.
A Telegram assistant answers customers from your knowledge base, understands voice messages and hands interested leads over to you. For digital products, it runs the full cycle with no sales manager involved.
Customer question → assistant’s answer → lead card sent to you
Payment → AI prepares the product → order delivered by email
Instead of listening to hours of recordings, the manager reads a structured summary of every call.
Call audio → conversation analysis → summary, action items, customer sentiment, lead score 1–10 → CRM card
In the demo you can upload your own recording of up to 10 minutes.
Two tools: a search for companies that match your requirements, and an agent that finds people with the very problem you solve in niche online communities.
Requirements document → list of companies, each with a rationale
Community post → draft reply → you approve
The system writes in a specific expert’s voice and publishes on schedule by itself. A person only fills in and approves the content calendar.
Expert positioning session → content strategy → posts in the expert’s voice → Instagram auto-publishing
A fully hands-off cycle: the customer enters their birth details, the system calculates the natal chart, AI writes a personal report, and the PDF is generated and sent by email. Payments run through Monobank Acquiring, with saved cards and automatic refunds.
The service is fully operational: it takes payments, generates reports and sends email campaigns.
Tech stack
A complete product, not a single feature: accounts, categories, budgeting, debts, statistics and financial goals. Expense entry is automated with AI — just upload a bank statement as PDF, XLSX, DOCX or CSV and it turns into structured transactions.
With duplicate detection, matching of transfers between your own accounts, exact money arithmetic with no rounding errors, and Google Sheets sync.
Tech stack
Answers prospective customers’ questions about your products, services, pricing and terms from a knowledge base. If the answer isn’t there, it doesn’t make things up — it passes the question on to you. Understands voice messages.
An interested customer reaches you as a lead card, and you reply right in the same chat. The owner gets a separate mode: who wrote in, what they asked, who was handed over. Per-user limits and an off switch protect against abuse.
Tech stack
Two bots run inside DestinyCode. The first is a support bot: it answers customers with AI, keeps the conversation context across messages, rate-limits requests per user and escalates tricky cases to an admin, while a scheduler closes abandoned sessions. The second is a delivery bot: it hands customers the report they bought, sets up a subscription and sends bonus materials.
Under the hood: webhook signature verification, protection against duplicate requests, stored conversation history and a dedicated logging endpoint for incident analysis.
Tech stack
Call audio becomes a transcript split into turns, and then a summary for the manager, a list of action items, a customer sentiment rating, a lead score from 1 to 10 and an auto-filled CRM card. Instead of listening to hours of calls, the manager reads a structured summary.
Processing 100 five-minute calls costs about $3.50 a month — a verified estimate from the project.
Tech stack
Finds companies and businesses that meet given criteria. It gathers companies in a niche and city, opens their websites and unpacks the GTM container — revealing the Google Ads conversion tag, Meta Pixel, call tracking, CRM and online booking that don’t show up in the page’s HTML. It also scans reviews for complaints like “nobody called back”, “long wait” or “they mixed up my booking”.
The system takes its criteria straight from a requirements document. You can find businesses that already pay for ads or new companies with no website, size up a niche in a city or compare several niches. The output is a list of companies with a rationale for each: a report, CSV or Markdown.
Tech stack
An autonomous agent: every 12 hours it scans four topic-specific Reddit communities for posts where someone describes a problem the product solves. AI drafts a genuinely helpful reply, and everything lands in a dashboard where a person simply approves or rejects it. The same post is never processed twice.
Tech stack
The system learns from an expert’s archive of texts: it breaks their style down along 11 dimensions and keeps a corpus of real posts, then writes new texts in their voice rather than a “neutral AI tone”. It’s wrapped in a mobile app, so the expert can generate posts right from their phone.
Tech stack
A pipeline with no manual work: the content calendar lives in Notion, AI generates the images, and a GitHub Actions publisher posts a carousel and a series of Stories to Instagram on schedule through the official API, then writes the publishing status back to Notion. A person only fills in and approves the calendar.
Tech stack
A marketing funnel modelling dashboard: it pulls data from Meta Ads and runs scenarios — what happens to revenue if you change the budget or the conversion rate at a specific step. Instead of a spreadsheet full of numbers, the owner sees exactly where the chain breaks and what it costs. The link opens a purpose-built demo with made-up data.
Tech stack
I’m Oleksandr, and I’ve been in marketing since 2016: over $1,000,000 in revenue generated for clients and ad budgets of up to $60,000 a month.
Since 2025 I’ve been building AI products. My own systems run with real users and real payments — you can open them and see for yourself.
I deliver turnkey: architecture, code, integrations, deployment and support — no hand-offs between contractors and no agreements lost along the way. I start not with design but with clarifying the request: exactly what result the system has to deliver. AI is a development tool that gives speed, but I’m the one responsible for the architecture, the money and the data.
Where things stand today, what question or problem needs solving, and the result you’re after.
Your wishes for the functionality. Tailoring the solution to your specific needs.
Architecture, integrations and launch are on me. Fixes for anything I missed are included in the price.
The work is done when you say: “Yes, this is exactly what I need.” The code, access and accounts are yours. Two weeks of support at no charge.
My own products and tools outside the main focus.
A Ukrainian-language course on building AI agents: 12 modules and 79 hands-on lessons.
From your first SELECT to window functions. Public version coming soon.
Structure, copy, mobile-friendly layout, animations.
A strength-training log. Works offline and installs on your phone like an app.
A voice-controlled boxing timer for iOS.
Schulte table and “Alphabet”: web, desktop and iOS.
My AI assistant replies instantly — about projects, pricing and timelines, and voice messages are welcome. When you’re ready to discuss your task, it will pass it on to me, and I’ll reply in the same chat.
