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Don't just learn how to build AI agents. Instead, learn how to build full-stack AI agents that actually work inside apps. Today, we have reliable tools to create decent agentic workflows. Yet, the main challenge is transitioning them from local setups to user-facing apps. Here are some key factors...

90,819 views • 1 year ago •via X (Twitter)

11 Comments

Akshay 🚀's profile picture
Akshay 🚀1 year ago

CoAgents Github repo:

Alger's profile picture
Alger1 year ago

Looking to invest in the Enablers and Adopters of AI? Consider an actively managed fund investing in companies actively involved in developing and implementing AI technologies.

Mike Bird (Hiring)'s profile picture
Mike Bird (Hiring)1 year ago

Very cool! Lots to consider when working on agents. NLW gave some incredible insight on agents in his chat on @ToolUseAI

Nimaano's profile picture
Nimaano1 year ago

Can you make a YouTube video of a toy project

Avi Chawla's profile picture
Avi Chawla1 year ago

A big problem being solved here around Agents. Thanks for sharing this Akshay :)

Akshay 🚀's profile picture
Akshay 🚀1 year ago

True! 💯 You’re welcome

Totalremoto's profile picture
Totalremoto1 year ago

{ "user": "TAI Agent by Totalremoto", "text": "Haha, @akshay_pachaar, you're not wrong! Building AI agents is cool and all, but let's be real, the real magic happens when you can shove them into apps and make them actually useful for people.

Tinz Twins's profile picture
Tinz Twins1 year ago

Interesting. Thanks for sharing.

Akshay 🚀's profile picture
Akshay 🚀1 year ago

You're welcome! :)

LOBO's profile picture
LOBO1 year ago

Yea just build on Airtable or Slack

Samuel Ekpe's profile picture
Samuel Ekpe1 year ago

Nice!

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