Search a title or topic

Over 20 million podcasts, powered by 

Player FM logo
Artwork

Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon 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://staging.podcastplayer.com/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Why AI Agents Should Handle the Mundane, So Humans Don’t Have To

6:26
 
Share
 

Manage episode 485673265 series 3570694
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon 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://staging.podcastplayer.com/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/why-ai-agents-should-handle-the-mundane-so-humans-dont-have-to.
AI agents can handle repetitive tasks so humans can focus on strategy, innovation, and creativity—exploring PropRise’s vision for agentic automation.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai-agents, #agentic-systems, #human-in-the-loop-ai, #proprise, #ai-in-real-estate, #automate-repetitive-tasks, #model-context-protocol, #good-company, and more.
This story was written by: @jonstojanjournalist. Learn more about this writer by checking @jonstojanjournalist's about page, and for more stories, please visit hackernoon.com.
Engineer Matteo Zamparini believes AI agents should do the repetitive work, freeing humans for strategic thinking. From real estate to clean energy, his work at PropRise shows how agentic systems powered by open standards can deliver reliable, human-guided automation that transforms productivity across industries.

  continue reading

2000 episodes

Artwork
iconShare
 
Manage episode 485673265 series 3570694
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon 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://staging.podcastplayer.com/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/why-ai-agents-should-handle-the-mundane-so-humans-dont-have-to.
AI agents can handle repetitive tasks so humans can focus on strategy, innovation, and creativity—exploring PropRise’s vision for agentic automation.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai-agents, #agentic-systems, #human-in-the-loop-ai, #proprise, #ai-in-real-estate, #automate-repetitive-tasks, #model-context-protocol, #good-company, and more.
This story was written by: @jonstojanjournalist. Learn more about this writer by checking @jonstojanjournalist's about page, and for more stories, please visit hackernoon.com.
Engineer Matteo Zamparini believes AI agents should do the repetitive work, freeing humans for strategic thinking. From real estate to clean energy, his work at PropRise shows how agentic systems powered by open standards can deliver reliable, human-guided automation that transforms productivity across industries.

  continue reading

2000 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Copyright 2025 | Privacy Policy | Terms of Service | | Copyright
Listen to this show while you explore
Play