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AI Agents and the Future of Productivity (With Andrei Oprisan)-Ep #183

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Manage episode 475840588 series 3451071
Content provided by Marc Verbenkov. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Marc Verbenkov or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

This episode explores the rising role of AI agents, how they differ from tools like ChatGPT, and why they’re key to boosting productivity across industries.

About the Episode:

AI agents are rapidly evolving—offering new ways to automate tasks, interact with data, and assist humans beyond what traditional AI tools can do. In this episode, we break down what AI agents really are, how they differ from general-purpose models like ChatGPT, and why narrow, task-specific agents often outperform broader tools in real-world applications.

We dive into what it takes to build and deploy an effective AI agent, including the importance of contextual data, specialized models, and how these agents can be used to search the web, interact with platforms like LinkedIn or Instagram, and even coordinate as a team. We also explore Agent AI’s approach to no-code agent creation, the potential of these tools to augment—not replace—human work, and what the next wave of productivity might look like when AI becomes more embedded in everyday processes. Whether you're just curious or already experimenting, this conversation offers a clear and grounded take on the future of agent-based AI systems.

About the Guest:

Andrei Oprisan is a technology leader with over 15 years of experience in software engineering, specializing in product development, machine learning, and scaling high-performance teams. He co-founded OneScreen.AI and has held senior leadership roles at Wayfair, Liberty Mutual, and HubSpot, contributing to business growth through innovative tech solutions. Andrei is currently pursuing an MBA from MIT Sloan and holds a Master’s in Computer Science from Columbia University. He is now working with Agent.ai to leverage AI for enhanced customer service solutions.

Website: agent.ai | The Professional Network for AI Agents

Linkedin: https://www.linkedin.com/in/andreioprisan/

Timestamps:
00:01:10 - Episode Commences
00:03:45 - Initial Interests & Insights in AI Agents
00:07:50 - AI Agents Vs Language Modals
00:24:40 - The Future of AI Agents
00:33:20 - How far are we making a Jarvis-level AI Agent
00:38:55 - How Industries are going to adapt AI Agents
00:48:50 - Will AI Agents Augment or Replace Human Labor
00:56:45 - Episode concludes

Additional Notes:

For more check out the website: https://futuretechandforesight.com/

Or connect with me on –

Twitter: https://twitter.com/FutureTech_Pod

Linkedin: https://www.linkedin.com/company/futuretechandforesight/

  continue reading

186 episodes

Artwork
iconShare
 
Manage episode 475840588 series 3451071
Content provided by Marc Verbenkov. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Marc Verbenkov or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

This episode explores the rising role of AI agents, how they differ from tools like ChatGPT, and why they’re key to boosting productivity across industries.

About the Episode:

AI agents are rapidly evolving—offering new ways to automate tasks, interact with data, and assist humans beyond what traditional AI tools can do. In this episode, we break down what AI agents really are, how they differ from general-purpose models like ChatGPT, and why narrow, task-specific agents often outperform broader tools in real-world applications.

We dive into what it takes to build and deploy an effective AI agent, including the importance of contextual data, specialized models, and how these agents can be used to search the web, interact with platforms like LinkedIn or Instagram, and even coordinate as a team. We also explore Agent AI’s approach to no-code agent creation, the potential of these tools to augment—not replace—human work, and what the next wave of productivity might look like when AI becomes more embedded in everyday processes. Whether you're just curious or already experimenting, this conversation offers a clear and grounded take on the future of agent-based AI systems.

About the Guest:

Andrei Oprisan is a technology leader with over 15 years of experience in software engineering, specializing in product development, machine learning, and scaling high-performance teams. He co-founded OneScreen.AI and has held senior leadership roles at Wayfair, Liberty Mutual, and HubSpot, contributing to business growth through innovative tech solutions. Andrei is currently pursuing an MBA from MIT Sloan and holds a Master’s in Computer Science from Columbia University. He is now working with Agent.ai to leverage AI for enhanced customer service solutions.

Website: agent.ai | The Professional Network for AI Agents

Linkedin: https://www.linkedin.com/in/andreioprisan/

Timestamps:
00:01:10 - Episode Commences
00:03:45 - Initial Interests & Insights in AI Agents
00:07:50 - AI Agents Vs Language Modals
00:24:40 - The Future of AI Agents
00:33:20 - How far are we making a Jarvis-level AI Agent
00:38:55 - How Industries are going to adapt AI Agents
00:48:50 - Will AI Agents Augment or Replace Human Labor
00:56:45 - Episode concludes

Additional Notes:

For more check out the website: https://futuretechandforesight.com/

Or connect with me on –

Twitter: https://twitter.com/FutureTech_Pod

Linkedin: https://www.linkedin.com/company/futuretechandforesight/

  continue reading

186 episodes

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