In this episode of the AI Agents Podcast, Demetri Panici and Eitaken Tank discuss OpenAI’s latest tool, the Agent Builder, a powerful addition to their newly released Agent Kit.

They explore how developers can now visually build and deploy AI agents using a workflow-inspired canvas, similar to tools like Zapier or Make.

From web searches to API integrations using MCPS, the Agent Builder gives users powerful new capabilities—all customizable with model selection, tool access, output formatting, and more.

They also compare OpenAI’s offering with established platforms like Jotform AI Agents, examining pros and cons such as developer complexity, UI differences, and readiness for non-dev users.

Whether you're a developer building custom AI workflows, or just curious about how Agent Builder stacks up in the low/no-code space, this episode will help you understand the future potential of AI-driven automation platforms.

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⏰ TIMESTAMPS:

0:00 - Welcome and Episode Overview

0:51 - OpenAI’s Agent Builder Explained

2:25 - Building AI Workflows Visually

5:03 - Real Use Case: Customer Service Agents

10:02 - Jotform AI vs OpenAI Toolkits

14:00 - What Is Included in the Agent Kit

19:06 - Deep Dive into Connectors and MCPs

24:00 - Automating Client Services With Agents

29:00 - Pitfalls of Abandoning Current Tools

32:33 - Final Thoughts and Sign Off

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Braden Ream, CEO of Voiceflow, joins the AI Agents Podcast to share the journey of building a powerful, real-world voice AI platform that truly works.

In this conversation, Braden explains how Voiceflow evolved from early Alexa skills to a full-fledged platform used by Fortune 500 companies to create conversational agents across chat and voice.

He dives into the limitations of traditional NLU systems, the shift toward agentic frameworks, and how LLMs revolutionized the state and response design process in voice tech.

Learn why streaming processes and speech-to-speech models are the next big leap in voice AI, how Voiceflow is navigating the balance between usability and power, and what the future holds for agent builders amid rapid advancements from OpenAI, Anthropic, and others.

If you're interested in the transformative potential of conversational AI for call centers, support automation, and beyond, this episode offers a deep dive into the tools and trends defining the next generation of voice AI.

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⏰ TIMESTAMPS:

0:00 - The Death Of Manual Design

1:22 - How Voiceflow Got Started

4:44 - Voice Versus Chat In AI

6:12 - Transitioning From NLU To LLMs

10:00 - Streaming AI Vs Batch Processing

13:00 - Unlocking Real-Time Voice Agents

20:00 - Serving Customers Of All Sizes

26:00 - Voice AI Model Comparisons

33:00 - The Bundling Of Agent Builders

39:00 - The AI Bubble And Valuation Debate

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Discover how AI agents are transforming the world of go-to-market strategies in this insightful episode with Arjun Pillai, co-founder of Docket AI.

Dive into the future of autonomous selling, enterprise knowledge management, and how large language models are finally unlocking the ability to harness unstructured data from across organizations.

Arjun shares how his background in sales tech and data has led to the development of powerful, agentic AI solutions that streamline workflows, improve buyer experiences, and accelerate revenue generation through multimodal interactions and reasoning-capable models.

We explore key shifts in AI architecture, including the rise of inference-time compute, agentic frameworks, and the multimodality of voice-enabled interfaces.

Learn how enterprises can prepare for AI-native transformation while avoiding common adoption pitfalls, and gain tactical insights into how AI can augment or even automate marketing and sales functions.

This episode is essential listening for anyone looking to stay ahead in the rapidly evolving AI-driven business landscape.

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⏰ TIMESTAMPS:

0:00 - Breakthroughs In AI Reasoning Models

1:01 - Meet Arjun Pillai Of Docket IO

3:00 - Startup Journey And Sales Tech Background

5:04 - Why Docket IO Was Created

9:00 - Unlocking Tribal Knowledge With AI

13:00 - Agentic Architecture And Reasoning Models

17:04 - Autonomous Selling With AI Agents

21:00 - Voice Technology And Future Of AI Communication

29:00 - Enterprise AI Adoption Barriers

35:00 - Incentivizing Teams To Use AI

41:00 - How AI Can Optimize Internal Operations

46:00 - Final Tips For Successful AI Integration

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In this episode of AI Agents, Demetri Panici sits down with Philipp Thomaschewski, CEO and founder of Fratch.io, to explore how AI-powered agents are transforming freelancer recruitment.

They discuss the inefficiencies in traditional freelance hiring, the challenges of resume curation, and how AI can parse massive volumes of data to instantly connect companies with top-tier talent.

Philipp explains how Fratch.io uses conversational AI to act as a personal recruiting assistant, automating role specification, profile analysis, and candidate selection—simplifying the process for both hiring managers and freelancers.

You'll also hear about the growing demand for freelancers in AI and tech infrastructure setup, emerging trends in workforce demographics, and why companies are turning to intelligent software solutions to bridge skill gaps efficiently.

Whether you’re a business decision maker or a freelancer, this episode uncovers how smart collaboration through AI agents is reshaping the future of work.

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⏰ TIMESTAMPS:

0:00 - The Future Of AI And Work

1:13 - Philip’s Entrepreneurial Journey

3:11 - Solving Freelance Hiring With AI

5:25 - Competing With Upwork And Fiverr

7:59 - Rethinking The Hiring Process

10:01 - Why Traditional Platforms Fail

13:00 - AI Transforming Recruiting Decisions

16:03 - Mass Applications And Platform Problems

19:33 - Transparency In Freelancer Pricing

21:01 - Improving Experiences For Freelancers

24:16 - Using Agents To Build Job Descriptions

26:15 - How AI Redefines Hiring Needs

30:30 - Global Demographics Impact Workforce Trends

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Explore the evolving role of artificial intelligence in the brand safety and media verification space with Jon Morra, Chief AI Officer at Zefr.

In this episode, we dive deep into how Zefr uses large-scale machine learning and AI to help major platforms like TikTok, Meta, and YouTube ensure content appropriateness for advertisers.

Learn how AI is rapidly transforming classification, misinformation detection, and the future of content enforcement at scale, especially as generative content becomes more mainstream.

Jon also shares unique insights on building AI systems that solve real challenges in digital advertising, from identifying brand misappropriation to enabling dynamic, scalable human-AI collaborations.

With a behind-the-scenes look at how technology is reshaping content moderation and advertising integrity, this episode is essential for anyone interested in the intersection of AI, media, and responsible brand engagement.

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⏰ TIMESTAMPS:

0:00 - The Rise Of AI Content

1:18 - Journey To Chief AI Officer

2:18 - Zephyr's Origin And Evolution

4:02 - Entering TikTok And Meta Spaces

6:03 - Detecting AI-Generated Misuse

10:12 - How Zephyr Classifies Content

14:02 - The YouTube Adpocalypse Impact

20:00 - Defining Brand Safety In 2024

26:02 - Real-Time Misinformation Detection

33:07 - The Future Of Jobs And AI Agents

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Discover the top AI agent app builders shaping the future of 2025 in this in-depth episode of The AI Agents Podcast.

Hosts Demetri Panici and Jotform CEO Aytekin Tank dive into the expanding landscape of no-code and low-code AI-powered app creation platforms, including Jotform Apps, Glide, Bubble, Lovable, and more.

Drawing from hands-on testing with custom prompts, they evaluate each builder's capabilities—from personal tools and internal dashboards to scalable client-facing apps—and share real-world use cases and performance insights.

Whether you're a startup founder, agency owner, or small business leader, this episode offers valuable perspectives on selecting the right AI app builder to streamline development, reduce costs, and unlock new productivity.

Gain actionable knowledge on building apps via prompt engineering, leveraging AI for iteration and maintenance, and the evolving role of AI in shaping how apps are ideated, launched, and scaled.

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⏰ TIMESTAMPS:

0:00 - Intro To AI App Builders

1:06 - The Rise Of Jotform Apps

3:35 - Business Use Cases For AI Apps

6:02 - AI Tools For Small Business

13:01 - Realistic Expectations For No Code Apps

17:30 - Beginning The App Builder Comparison

23:03 - Best App Generators Showcased

30:07 - Lovable App Demo And Features

36:07 - Rapid Debugging With AI

42:01 - Final Reviews And Top Picks

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In this episode of the AI Agents Podcast, we sit down with Peter Morgan, founder of Deep Learning Partnership, to dive deep into the future of artificial intelligence and its rapidly expanding role in business, science, and society.

Peter shares his insights on how AI is reshaping the job market—starting with the automation of entry-level and knowledge-based roles—and what that means for the workforce of tomorrow.

He discusses the importance of embracing exponential technological change and explores how intelligent systems could soon outperform humans in strategic decision-making across sectors.

We also explore how AI is accelerating innovation in healthcare, biology, and enterprise workflows, with major players like Google, Microsoft, and Amazon driving much of the foundational infrastructure.

Peter offers a bold vision for 2025 and beyond, predicting a future where human potential is freed from routine labor, enabling more creativity, learning, and personal fulfillment.

If you want a glimpse into the future of AI and its socio-economic impact, this conversation is a must-listen.

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⏰ TIMESTAMPS:

0:00 - AI Replacing Entry-Level Tech Jobs

0:59 - Meet Peter Morgan From Deep Learning Partnership

3:00 - From Physics To AI Pioneer

5:00 - The Vision Behind Deep Learning Partnership

7:00 - Helping Companies Navigate AI Disruption

9:03 - Cloud Partnerships And AI Ecosystem

14:02 - The Impacts Of AI On The Job Market

20:00 - Global AI Race With US And China

27:00 - Healthcare, Pharma, And AI Breakthroughs

34:22 - The Future Of Work And Human Free Time

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In this episode of the AI Agents Podcast, we sit down with Juri Kuehn, founder of Codeligence, to explore how AI is reshaping the future of software development.

Juri shares insights from his 30-year coding career and explains how Codeligence is building coding agents that go beyond code generation—automating tasks like code reviews, documentation, and error analysis to streamline workflows in enterprise development teams.

We dive into the rise of agentic coding, the evolution from basic tab completion to AI-powered sub-agents, and how tools like Claude Code and Lovable are enabling non-developers to build full applications.

Whether you're an experienced engineer or new to the AI tech stack, this episode offers a deep look into how AI coding agents are transforming how modern teams build software efficiently and at scale.

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⏰ TIMESTAMPS:

0:00 - The Rise Of Code Completion

1:02 - Introducing Yuri Kuhn From Codelligence

3:00 - From Developer To AI Founder

5:00 - The Birth Of AI Agents

9:02 - Claude And The Future Of Coding

13:00 - Evolution Of AI In Development

17:27 - Agentic Coding With Claude Code

21:50 - How Sub Agents Work

27:02 - Open Source Agents For Teams

33:00 - Developer Adoption Challenges

41:00 - Codelligence Platform Demo

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