AI Agents and Chatbots
AI agents and chatbots that take real action: customer support, booking, sales, and routine automation in Telegram, on your website, and in your CRM — with security and control built in
AI agents and chatbots that take real action: customer support, booking, sales, and routine automation in Telegram, on your website, and in your CRM — with security and control built in
A chatbot answers questions. An AI agent gets work done
An AI agent is software that doesn’t just hold a conversation — it takes real action in your systems: checks availability, books appointments, finds answers in your knowledge base, sends reminders. I’m a digital product engineer and web solutions architect with over 18 years of experience — from WordPress core customization to autonomous AI agents. I use my own agent every day: KapliaProBot manages my email, calendar, tasks, and files through Telegram, a voice chat, and an Android app. So every solution I offer clients has already been proven on my own projects.
The real value of AI agents is not “smart replies” — it’s the routine work taken off people’s hands:
customer support — the agent answers common questions in Telegram or on your website and hands complex cases over to a human
sales and booking — in Clients Express, the AI assistant uses tool calls to check available slots and create real bookings in the calendar
routine automation — the Mytar bot fully runs access to a paid Telegram group: payment screenshot, moderation, a personal invite link, reminders, and automatic removal for non-payment
voice interfaces — KapliaProBot’s voice pipeline is latency-optimized, so the answer starts playing before the generation is even finished
None of these scenarios is a concept from a slide deck — it’s code running in production every day.
An agent is only as useful as how deeply it’s wired into your processes. I connect agents to:
your website and knowledge base — RAG memory grounds answers in your documents, not the model’s imagination
CRM and calendars — booking, rescheduling, reminders
Telegram — where your clients already are
email and internal services — from reports to file management
KapliaProBot combines all of this in a single agent — with memory shared across Telegram, voice, and Android.
An AI that can act needs boundaries. In my agents they are built into the architecture:
risky actions — email, files, payments — run only after an explicit Yes/No confirmation
kill switches: any group of actions can be paused without losing the task queue
an audit trail for every action, with secrets masked in logs
limits, retries, and protection against conflicting parallel jobs
An agent should be an assistant with clear instructions, not a force of nature without brakes.
Chat is just one interface. In my projects, agents already:
talk in real time — a WebRTC pipeline with streaming speech recognition and voice synthesis
debate each other — in AI Talks, several agents running on different models (OpenAI, Claude, Gemini) hold an autonomous voiced conversation
translate speech on the fly — an R&D experiment with the Chrome Translator API voices English YouTube videos in Ukrainian right in the browser
The interface is chosen for the task — not limited to a chat window.
businesses where support and client booking eat up hours every day
teams that want to offload routine work without growing the staff
projects that already have a website or CRM — the agent becomes a layer on top, not a replacement
Examples of implemented solutions can be viewed in the portfolio section or learn more about other services.
An AI agent is not hype — it’s a working tool that saves human hours today. The key is to build it like a product: with integrations, memory, security, and control. If you want to know what an agent could automate in your business — drop me a line: you work directly with the engineer, no middlemen.