Imagination Storyworks App
A collaborative storytelling experience that combines AI-assisted writing, image generation, artistic exploration, and video creation.
MindStudio Claude Code
EXPLORING AI · IGOR KALENNYY
Understanding the role of AI in future products and experiences.
WHY AI
As AI becomes increasingly integrated into products, services, and business operations, understanding the technology is becoming essential for making informed product decisions. Building AI agents has been helping me develop firsthand experience and a better understanding of how AI-enabled systems might behave in the real world—their capabilities, limitations, tradeoffs, and where they can create meaningful value and experiences.
I prefer to understand things firsthand.
HANDS-ON
I graduated from MindStudio’s inaugural AI bootcamp cohort in 2025. As part of the evolving curriculum, I built 30+ AI agents across diverse use cases:
The most valuable outcome wasn’t learning how to create workflows. It was developing informed judgment about how AI systems behave in practice, where they create value, and where they introduce tradeoffs.
IN PRACTICE
After completing the bootcamp, I continued experimenting independently by building AI agents that connected to external systems, APIs, and other tools.
Rather than building agents for their own sake, I focused on real-world use cases and business scenarios that helped me better understand where AI can create value, where it introduces limitations, and how it might fit into larger products, experiences, and business processes.
Featured Projects
A collaborative storytelling experience that combines AI-assisted writing, image generation, artistic exploration, and video creation.
MindStudio Claude Code
Analyzes Google reviews and restaurant menus to surface customer sentiment, popular dishes, and recurring feedback themes.
MindStudio Google Cloud API Apify
Turns a month of client work tracked in Notion into a polished, client-ready status report — drafted for review before it's sent.
MindStudio Notion
Technologies & Integrations
MY PERSPECTIVE
Building, testing, and debugging AI agents changed how I think about it — revealing insights theory alone can’t, and a more practical understanding of its strengths, limitations, and where it creates meaningful value.
The most important question isn’t whether AI can be used — it’s whether it should be used.
As AI becomes easier to implement, knowing when to use it may matter more than knowing how.
AI should expand human capability, not replace human judgment, creativity, and critical thinking. The goal is to enhance human decision-making, not outsource it.
The lower the barrier to building something complex, the more important it becomes to understand how it works - maintaining, debugging, and improving is where the real challenge begins.
Not every problem should be solved with AI prompts. Some need code, others benefit from AI. The challenge is knowing where the value justifies the added cost and complexity.
Creating a workflow is only part of the challenge - understanding why and where it failed, and how to recover, is often far more valuable.
WHAT’S NEXT
Building AI agents and workflows was never my end goal.
The goal has been to explore and develop a better understanding of how AI can be applied to products, services, experiences, and business operations.
Learning AI has been a natural extension of my journey, giving me firsthand understanding of the technology and helping me better understand how AI-enabled systems might behave in the real world.
That’s where I see my future: helping shape products and experiences at the intersection of product thinking, systems thinking, user experience, and AI.