In this episode of the AI Agents Podcast, we explore how Sapien.io is transforming the way fine-tuned large language models (LLMs) are built.

Demetri Panici interviews Rowan Stone from Sapien to uncover how the company is rethinking AI training data by decentralizing the data collection process.

Rather than relying on centralized data centers, Sapien empowers contributors worldwide to provide high-quality, structured knowledge, helping eliminate biases and enhance model performance.

Rowan details how Sapien’s innovative data-foundry framework and incentive structures enable scalable, high-quality input for LLMs — from autonomous vehicle data to nuanced human insight across vertical specialties.

With a growing network of 560,000+ contributors and clients like Midjourney and UN agencies, Sapien.io is setting a new standard for how enterprise-grade AI models are fine-tuned and optimized in a rapidly evolving tech landscape.

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⏰ TIMESTAMPS:

0:OO - Introduction

1:00 - Introducing Sapien And Rowan

5:19 - Understanding Decentralization In AI

9:20 - Real-World Applications Of Decentralized Data

14:05 - Advice For Startups On Funding Success

16:52 - The User Base of Sapien

18:58 - Building And Scaling An Early-Stage Team

21:44 - Improving Data Quality With Peer Review

25:58 - Agentic Models And Chain Of Reasoning

30:40 - Practical Use of Chain of Reasoning in the Workplace

34:08 - Why Work with Vertical Models

37:42 - The Next Leap In Humanoid AI Robotics

40:58 - The Intelligence Level of AI Models

45:08 - Final Thoughts

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In this episode of the AI Agents Podcast, we explore the most advanced AI search engines shaping how we access information in 2025.

Hosts Demetri Panici and Ayda Kin Tank dive deep into tools like Perplexity, Gemini, Claude, and Maini, highlighting how they outperform traditional search engines by providing streamlined, high-quality research and actionable insights.

From researching competitors to generating sales content, these AI tools are transforming workflows for small businesses and enterprise teams alike.

We also explore how AI search engines offer major advantages in real-time event discovery, news tracking, and personal productivity, even integrating with Google Calendar, Gmail, and Drive.

Plus, hear how AI now handles everything from analyzing images and videos to creating personalized research dashboards and dynamic web content. If you’re ready to reduce your reliance on Google and level up your information gathering in 2025, this episode is a must-listen.

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⏰ TIMESTAMPS:

0:00 - Exploring Gemini Deep Research

1:05 - New Features In Jotform AI Agents

3:46 - AI Agents Replacing Google Search

11:02 - Comparing Intercom Fin And Jotform

18:59 - Perplexity For Automated Deep Research

27:12 - Automating Competitive Research With Make

30:52 - Deep Research In AI-Powered News Discovery

35:05 - Real-Time Event Search With AI

41:01 - Claude’s Web Search And Gmail Integration

48:02 - AI Image Recognition For Location Search

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In this episode of the AI Agents podcast, we take a deep dive into the groundbreaking release of GPT-4.1 and explore why it's a game-changer for developers.

From improved coding accuracy and better instruction-following to multimodal enhancements and expanded context windows, GPT-4.1 sets a new standard for AI performance.

We break down the capabilities of 4.1’s variants—Mini and Nano—and discuss how they deliver powerful results at a fraction of the cost, making advanced AI more accessible than ever.

We also uncover how GPT-4.1 can be integrated via API for tasks like dynamic content generation, web app development, and productivity-driven workflows.

Whether you're building smarter tools or scaling AI capabilities for your team, this episode offers insights into how to fully leverage the latest from OpenAI.

Don't miss the real-world applications, pricing comparisons, and key limitations that developers need to know.

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⏰ TIMESTAMPS:

0:22 - Welcome To AI Agents Podcast

0:44 - Overview Of ChatGPT 4.1 Release

1:22 - Key Improvements In 4.1 Models

2:28 - Performance Gains In Coding And Instructions

3:32 - 4.1 Nano Vs Other Models

4:40 - Cost Benefits Of New Mini And Nano

5:54 - Using ChatGPT 4.1 In Automation Tools

7:01 - Comparing Pricing Across Model Types

8:22 - How To Utilize Models In API

9:24 - Final Thoughts On 4.1 Capabilities

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