AI after the demo.

A field guide to taking voice agents beyond proof-of-concept: engineering natural conversations, testing integrations, measuring conversion, and responding to the failures that only appear in production.

• Human-sounding conversation design
• 1,000-call testing discipline
• Reliability and API failure management
• ROI and live deployment case studies

A practical presentation on replacing inconsistent sales processes with production voice agents that reproduce the best salesperson's approach while remaining observable, testable, and connected to real business systems. I was also invited to join the expert panel during the event.

• The "Cloner" deployment model
• AI-agent ROI framework
• Production voice architecture
• Expert panel discussion on applied AI

A Russian-language interview with the event host about AI capability, practical adoption, and the workflows that help teams move from curiosity to useful implementation in the trucking business.

A framework for treating prompt engineering as a durable professional competency: structuring context, choosing the right optimization method, and building repeatable AI workflows rather than relying on one-shot instructions.

A structured introduction to communicating with large language models, from prompt anatomy and iteration to retrieval, fine-tuning, reasoning techniques, and multi-agent creator-critic loops.

A practitioner-developed operating model for e-commerce sales: lead-contact discipline, flexible conversation frameworks, upselling, quality systems, onboarding, and performance management.