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I Built 4 AI Agents in 2 Weeks – No Code!

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Manage episode 470727493 series 3590762
Content provided by Andrew Warner and Jesse Pujji. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Andrew Warner and Jesse Pujji 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://ppacc.player.fm/legal.

[00:00:00] Introduction
[00:00:45] Early Adoption of Generative AI & GitHub Copilot
[00:01:30] Discovering How Code Comments Improve AI Suggestions
[00:02:33] Skepticism About AI Hype & Fear of Being Left Behind
[00:04:03] Seeing a YouTube Tutorial That Unlocked Building a RAG Agent
[00:05:06] Building His First Agent in One Week (and Feeling “Bad at AI”)
[00:07:03] From 1 Agent to 4 Agents, Focusing on Small Single-Purpose Tools
[00:08:15] Live Business Use Case: The “Mutual Intro” AI Agent
[00:09:45] Benefits of Ranking Contacts & Saving Significant Human Time
[00:11:15] Attempt to Build a Large, All-In-One Agent & Its Failures
[00:14:03] Compounding Error With Multi-Step AI Workflows
[00:16:57] Conclusion: Why Single-Purpose Agents Work Better
[00:18:18] Expanding Into LinkedIn Sales Nav & Automated DMs
[00:19:48] N8n as the Core Platform (Open-Source Alternative to Zapier/Make)
[00:21:09] Future Vision & “Agent That Builds Agents” Dream
[00:21:45] Potential for Buying Businesses & Training Their Teams on AI
[00:22:21] “SaaS Is Dead” – Emphasis on Highly Customized AI Tools
[00:23:51] Possibility of an AI Course or Accelerator for Nontechnical Builders
[00:25:12] How Nontechnical People Often Adopt AI Faster Than Engineers
[00:26:33] Who Should Reach Out About AI (Sales/Support/Small Agencies)
[00:27:36] Adam’s Email & Looking Toward Future Products/Services
[00:28:12] Andrew’s Wish for an AI-Generated First Draft from Transcripts
[00:28:45] Adam’s 4-Step Method for Summarizing Calls & Extracting Stories
[00:30:27] Closing Remarks & Plan to Continue Updates Based on Audience Feedback

  continue reading

6 episodes

Artwork
iconShare
 
Manage episode 470727493 series 3590762
Content provided by Andrew Warner and Jesse Pujji. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Andrew Warner and Jesse Pujji 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://ppacc.player.fm/legal.

[00:00:00] Introduction
[00:00:45] Early Adoption of Generative AI & GitHub Copilot
[00:01:30] Discovering How Code Comments Improve AI Suggestions
[00:02:33] Skepticism About AI Hype & Fear of Being Left Behind
[00:04:03] Seeing a YouTube Tutorial That Unlocked Building a RAG Agent
[00:05:06] Building His First Agent in One Week (and Feeling “Bad at AI”)
[00:07:03] From 1 Agent to 4 Agents, Focusing on Small Single-Purpose Tools
[00:08:15] Live Business Use Case: The “Mutual Intro” AI Agent
[00:09:45] Benefits of Ranking Contacts & Saving Significant Human Time
[00:11:15] Attempt to Build a Large, All-In-One Agent & Its Failures
[00:14:03] Compounding Error With Multi-Step AI Workflows
[00:16:57] Conclusion: Why Single-Purpose Agents Work Better
[00:18:18] Expanding Into LinkedIn Sales Nav & Automated DMs
[00:19:48] N8n as the Core Platform (Open-Source Alternative to Zapier/Make)
[00:21:09] Future Vision & “Agent That Builds Agents” Dream
[00:21:45] Potential for Buying Businesses & Training Their Teams on AI
[00:22:21] “SaaS Is Dead” – Emphasis on Highly Customized AI Tools
[00:23:51] Possibility of an AI Course or Accelerator for Nontechnical Builders
[00:25:12] How Nontechnical People Often Adopt AI Faster Than Engineers
[00:26:33] Who Should Reach Out About AI (Sales/Support/Small Agencies)
[00:27:36] Adam’s Email & Looking Toward Future Products/Services
[00:28:12] Andrew’s Wish for an AI-Generated First Draft from Transcripts
[00:28:45] Adam’s 4-Step Method for Summarizing Calls & Extracting Stories
[00:30:27] Closing Remarks & Plan to Continue Updates Based on Audience Feedback

  continue reading

6 episodes

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