Business platform
Aiva Chat
Voice and chat AI assistants for business. They handle inquiries, qualify leads, and keep conversations going when the team is busy.
Founder. Product, architecture, AI infrastructure, and integrations.
Voice AI / Product engineering
Ruslan Konovalov
Engineer and AI product founder.
I build voice AI agents and tools for working with speech. I develop Aiva Chat and Echo Dictation, write about AI architecture, and am preparing a course on voice agents.
10+ years
in software and architecture
Aiva Chat
founder
Echo Dictation
creator
In practice
What I'm building
Dictation for macOS
Echo Dictation
Dictate into any app with a hotkey. Transcribe audio and video. Turn speech into usable text, right on your Mac.
Creator. From the product idea to a working application.
Voice AI systems
Conversations, latency, integrations, and agent behavior in real calls.
Architecture & engineering
Backend systems, AI infrastructure, and integrations with business software.
Product
Choosing the use case, building the first MVP, and developing the product after launch.
A little beyond work
My background is in computer science and bioinformatics. I live between Turkey and Russia. Away from work, I spend a lot of time on my bike.
Notes
Latest posts
Voice AI MVP: what to design before the first demo
A voice agent looks like a simple ASR, LLM, and TTS chain until a real user appears. A useful first MVP needs a system map, latency budget, and failure paths before the demo.
From AI demo to production agent
A demo proves that the technology can work. A production agent must be observable, controllable, integrated, and understandable for the team that will live with it after launch.
AI products need narrow promises
The broader an AI product promise becomes, the harder it is for users to see where it becomes useful. A narrow promise gets to the right workflow, metric, and trust faster.
Course
Voice AI MVP Blueprint
An upcoming course on choosing a use case, mapping the architecture, and planning your first voice-agent prototype.
Explore the courseContact
Let's talk about your AI product.
Architecture, collaboration, or learning. Tell me what you have in mind.