Interviews

AI, explained like a human.

Conversations about voice agents, operations, healthcare, and the part of AI that matters after the hype wears off: whether it actually helps people work faster, think clearer, and miss fewer opportunities.

The Marketing GameEnglish interview
with Dan Dramshev
LinkedIn episode

AI Agents: the Future of Client Communication for Service Businesses

One of the simplest and most expensive operational mistakes in service businesses: not answering fast enough. We break down why speed to lead still decides who wins, how voice AI can answer instantly, qualify inbound callers, book jobs into the CRM, and stay useful even when the caller is skeptical of AI.

  • Why a 5-second response window changes conversion
  • What makes an AI phone agent feel human instead of robotic
  • Booking, qualification, and CRM handoff in one flow
  • Why missed calls quietly become lost revenue

The episode includes a live voice AI demo handling inbound calls, lead qualification, service scheduling, and the very human moment when someone says, "I hate AI."

Open the LinkedIn post

DoubleTop ChannelYouTube interview
(Ru)
YouTube podcast

AI, robots, games, education, censorship, and what comes next

Where AI came from, why it spread so quickly, and how to think about it without either panic or blind faith. We talk through practical use in games and learning, competition, future impact, and the messy questions around censorship, limits, and who gets to shape these systems.

  • The early arc of AI and why this wave feels different
  • Where AI is genuinely useful in education and interactive systems
  • Competition, labor shifts, and what people get wrong about replacement
  • Censorship, constraints, and the politics around model behavior

Watch on YouTube

Personal Opinion Business ForumYouTube interview
(Ru)
Event interview

Artificial intelligence in the trucking business

An interview recorded around the Personal Opinion Forum event about how AI moves from abstract excitement into actual operational use. The focus here is practical adoption in trucking: what teams can automate, what still needs human judgment, and how to approach implementation without making it feel mystical or overcomplicated.

  • Where AI is already useful in trucking operations
  • How teams move from curiosity to implementation
  • Prompting and workflow design in everyday business use
  • What people get wrong about AI capability and adoption

Watch on YouTube