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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In this episode of the AI Agents Podcast, Demetri Panici sits down with Andrew Wesbecher, founder of Powered_By, to explore how bespoke AI agents are transforming small to medium-sized businesses. We dive into their innovative approach of building custom voice, email, SMS, and digital avatar agents to help SMBs leverage AI without needing internal technical teams. Learn how Powered By's consultancy-driven model bridges the technology gap, bringing enterprise-level AI solutions to businesses that have historically been overlooked.Andrew shares his journey from enterprise software to AI, highlights the mission behind democratizing sophisticated agent technology, and discusses real-world use cases — from virtual sales engineers to outbound marketing agents. If you're a business owner curious about AI agents' potential to amplify customer engagement, streamline operations, and future-proof your organization, this episode is a must-listen.

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⏰ TIMESTAMPS:

0:00 - How AI Agents Are Revolutionizing Voice Technology

0:47 - Introduction Of Powered By And Andrew Westbecker

1:41 - Andrew’s Entrepreneurial Journey Into AI Agents

4:59 - Mission To Support Small To Medium Businesses With AI

7:07 - SMBs Falling Behind In AI Adoption

11:38 - Powered By’s Bespoke AI Agent Solutions Explained

16:01 - Building The Future Wix For AI Agents

20:38 - How AI Agents Will Impact Hiring And Workforce Efficiency

25:01 - The Power of Voice Agents

27:47 - Have We Crossed the Uncanny Valley?32:03 - The Most Intriguing Use Case of Powered_By35:12 - Outbound AI37:48 - Why Memory Matters for AI Agents40:10 - How to Manage the Learning Process of AI Agents?46:27 - AI Agent Best Practices
48:32 - The Perfect AI Agent50:55 - Closing Thoughts

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In this episode of the AI Agents Podcast, Demetri Panici dives deep into the groundbreaking release of OpenAI's O3 and O4 mini models.

With near-human reasoning capabilities, built-in function calling, Python execution during thought processes, and advanced visual understanding, these models mark a huge leap forward in AI performance.

Demetri breaks down their IQ-level benchmarks, pricing structure, tool integrations, and real-world applications, including complex problem-solving, global geoguessing from images, and enhanced research capabilities.

Join us as we explore how O3 and O4 mini redefine what's possible in AI, from business intelligence to scientific forecasting.

Whether you're curious about their ability to generate predictive models, analyze historical data, or accurately guess locations from street signs and architecture, this episode paints a full picture of how close we are getting to true AGI innovation.

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⏰ TIMESTAMPS:

0:00 - Exploring AI IQ Scores

0:37 - Welcome To AI Agents Podcast

0:58 - ChatGPT's O3 And O4 Mini Launch

2:48 - O3's Major IQ Advancements

5:00 - Real World Use Cases For O3

6:07 - Action Calls And Reasoning In AI

7:00 - Cost And Pricing Breakdown

8:00 - O3's Stunning Image Recognition

9:00 - Geoguessing And Image Analysis

10:02 - Final Thoughts On AI Progress

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In this episode of the AI Agents Podcast, we explore the top AI-driven website builders of 2025 that empower creators, startups, and businesses to build professional-grade websites and web apps without writing a single line of code.

We dive into tools like V0, Lovable, Bolt, and Relume, showcasing how each platform streamlines the web development process — from generating design systems with Gemini and crafting wireframes with Relume to building full-scale apps with Lovable backed by Supabase.

We also highlight how AI can handle everything from UX design, site architecture, and copywriting to backend development and database integration.

Whether you're launching a simple landing page or a fully-featured SaaS platform, this episode breaks down the best approaches to transform your ideas into responsive, interactive websites using AI.

Discover what’s possible when you mix intuitive prompting with cutting-edge tools and how AI is truly redefining the way we build for the web.

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⏰ TIMESTAMPS:

0:00 - Introduction

0:42 - 2025 Website Building With AI

3:25 - Using ChatGPT And Gemini For Design

10:45 - Manus.AI

12:15 - v0

14:18 - bolt

15:00 - What Difference Does AI Make in Website Building in 2025?

17:25 - lovable.dev

19:24- lovable Supabese Connection

28:19 - Creating a Product Page with lovable

34:26 - Relume

39:58 - Best AI Tools For Full Websites

43:10 - Final Thoughts

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In this episode of the AI Agents Podcast, we take a close look at Deepseek V3 and explore whether it's time to make the switch.

Demetri Panici dives into the newest upgrades from Deepseek, including improved front-end development capabilities, Chinese search proficiency, and enhanced deepthink and search integration.

We also highlight the tool’s recent performance updates in non-complex reasoning tasks and compare Deepseek's evolving features to top competitors like Claude and ChatGPT 4.5.

Whether you're a developer, content creator, or AI enthusiast, this episode breaks down the practical applications, speed, and functionality of Deepseek V3 for real-world use.

Discover insights on what’s improved, where it still lags, and whether it’s worth adopting in your AI stack. Tune in for a thoughtful analysis of how Deepseek is carving its niche in the generative AI space.

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⏰ TIMESTAMPS:

0:00 - Emoji Use In AI Content

0:31 - Welcome To The AI Agents Podcast

0:53 - Deepseek V3 New Features

1:42 - Deepthink And Search Insights

3:01 - SEO Copywriting With AI

4:03 - Claude’s Web Search Capabilities

5:06 - Expanding Blog Content With AI

6:03 - Final Thoughts And Comparisons

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In this episode of the AI Agents Podcast, Demetri Panici dives into Amazon’s latest innovation in artificial intelligence—the Nova LLM platform.

Discover how the groundbreaking Nova Light, Nova Pro, and especially Nova Act models are reshaping what’s possible with AI-driven tools.

From handling multimodal inputs to achieving superior accuracy in complex web interactions, these models represent a significant leap forward in large language model capabilities.

We explore five game-changing features including Nova Act’s advanced browser automation, parallel task execution, and seamless SDK integration for developers.

Whether it's generating photorealistic images, processing multi-step online actions, or managing web-based tasks with near-human precision, the Nova platform sets a new standard for AI agents.

Tune in to learn how to harness these tools and what this means for the future of AI-powered productivity.

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⏰ TIMESTAMPS:

0:00 - Introduction To Nova Act

0:55 - Overview Of Amazon’s LLMs

1:37 - Browser Automation Capabilities

2:35 - SDK Integration With Python

3:36 - Real World Use Case Demos

5:03 - Voice Commands And Alexa Integration

6:04 - Image And Video Generation Tools

7:00 - Model Comparisons And Onboarding

7:57 - Image Editing With AI

8:14 - Final Thoughts And Experiment Ideas

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