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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In this episode of the AI Agents Podcast, host Demetri Panici sits down with Kumar Velugula, CEO and founder of Xnode.ai, to explore how enterprises can effectively scale AI teams and adoption across complex organizations.

Kumar shares his journey from building software in the finance world to launching a scalable AI operating system that empowers businesses to deploy intelligent agents across departments while maintaining a strong focus on enterprise security, access control, and usability.

Learn how Xnode’s platform helps streamline product and project management, automate document-heavy workflows like KYC, and bridge the gap between business users and engineers with conversational AI.

Whether you're in a regulated industry or simply looking to accelerate productivity with AI, this episode offers actionable insights into architecting scalable AI solutions that drive real business impact.

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⏰ TIMESTAMPS:

0:00 - Enterprise AI Security Challenges

1:06 - Introducing Kumar And Xnode AI

2:48 - Solving Communication Overhead With AI

4:29 - Building An AI Operating System

5:42 - Real-World AI Implementation Examples

9:03 - Scaling Workflows With AI Agents

11:02 - Overcoming Enterprise Adoption Hurdles

15:01 - Choosing The Right Industry Focus

17:05 - AI As A Bicycle For The Mind

30:00 - The Job Market And AI Transformation

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In this episode of AI Agents, we sit down with Alex Salazar, founder and CEO of Arcade.dev, to talk about building secure, production-ready AI agents that go beyond standard chat functions.

Alex shares his journey from founding authentication company Stormpath to creating Arcade.dev, a platform enabling developers to build AI agents that can take real-world actions across tools like Salesforce, Gmail, GitHub and more—solving critical issues in agentic workflows like authorization, token cost, and consistency.

We explore challenges in AI adoption across industries, why larger enterprises are leading early-stage innovation, and how Arcade.dev is leveraging MCP (Modal Contextual Protocol) to power scalable, safer AI tool integrations.

If you’re interested in the future of agent-based software, developer infrastructure, and practical steps companies can take today to stay ahead in AI, this episode delivers critical insights.

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⏰ TIMESTAMPS:

0:00 - Introducing Alex Salazar and Arcade.dev

1:32 - How Arcade.dev Solves Agent Authorization

3:33 - Transitioning From VC to AI Startup

6:00 - Challenges Building Production-Grade Agents

9:05 - Pivot to Tool Layer Innovation

13:50 - Rapid Enterprise and Startup Adoption

17:10 - Why Agent Projects Usually Fail

20:20 - Importance of Venture Capital for AI Startups

24:22 - Dominating a Winner-Take-All Market

28:05 - Choosing the Right Customers and Use Cases

33:30 - Onboarding MCP and the Future of Agent Architectures

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In this episode of the AI Agents Podcast, Demetri Panici sits down with Alejandro Gil, founder of Synvya, to explore how AI co-pilots are shaping the future of enterprise automation—especially for small and medium-sized businesses.

Alejandro shares his journey into the world of generative AI and his vision for decentralized, agent-to-agent commerce platforms that empower businesses to engage directly with AI assistants.

Rather than locking users into a single ecosystem, Synvya focuses on open, flexible infrastructure designed to help businesses adapt to new AI-powered buying behaviors.

From enabling local shops and restaurants to appear in AI-assisted search results, to helping independent vendors build agent-friendly catalogs, Alejandro explains the growing importance of automation that goes beyond the company’s walls.

This episode dives deep into real-world challenges of AI adoption in non-tech industries, the gap in market readiness, and how supporting SMBs with practical AI tools can level the playing field in an Amazon-dominated marketplace.

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⏰ TIMESTAMPS:

3:10 - Birth Of Synvia's Vision

6:00 - AI Agents And Buyer Networks

10:30 - Selling To AI Assistants

14:00 - Overcoming AI Misconceptions

18:40 - Key Industries Embracing Change

22:45 - Driving Mass AI Adoption

29:40 - Empowering Brick And Mortar Stores

36:50 - Competing With Amazon's Logistics

41:00 - Future Impact On Job Markets

46:00 - The Rise Of Small AI-Powered Businesses

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In this episode of the AI Agents Podcast, we explore Notion's game-changing release: Notion AI Agents.

We break down how this latest innovation goes beyond traditional AI features to deliver deeply integrated capabilities that streamline research, automate workflows, and transform how users interact with data through natural language prompts.

From assembling live databases of summer camp options to managing full CRM systems, Notion AI Agents act as autonomous assistants that can handle real work for you—saving time and unlocking new levels of productivity.

Join Demetri Panici and Aytekin Tank as they discuss how Notion’s AI Agents represent a major leap in AI-first product design.

With the ability to complete up to 20 minutes of autonomous work across multiple pages, Notion AI is no longer just a writing assistant; it’s a powerful, context-aware agent helping businesses and individuals scale their workflows.

Whether you're a longtime Notion user or just AI-curious, this episode dives into how the future of integrated work and AI productivity is unfolding right now.

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⏰ TIMESTAMPS:

0:00 - Intro And Notion AI Overview

1:57 - Comparing AI Integration In Tools

5:06 - Notion AI’s New Capabilities Explained

9:03 - Real World Use Cases With Notion

13:00 - Tool Stability And Product Evolution

16:02 - ClickUp Brain Vs Notion AI

20:06 - AI Agents Replacing Routine Tasks

24:22 - AI’s Impact On Project Management Roles

31:05 - Connected Work And Automation Benefits

41:00 - Notion AI As Custom Software Builder

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In this episode of the AI Agents Podcast, we explore what an MCP (Modal Context Protocol) is and why it’s becoming a game changer for AI-powered productivity.

Demetri Panici and Jotform CEO Aytekin Tank break down how MCP streamlines the way AI tools like ChatGPT and Claude connect with external platforms—from Gmail to Jotform—allowing you to execute complex tasks with simple, natural language prompts.

Think of MCP as the USB-C for APIs: a standardized way for AI to understand and interact with other software, simplifying integrations that once required specialized developers.

From automating form creation to querying your inbox or managing data across apps, MCP unlocks seamless communication between AI and your favorite tools.

With real-world use cases and hands-on demos, this episode shows how MCP is ushering in the next era of agentic AI where you no longer need to learn every interface—just ask your AI assistant in plain language, and let it handle the rest.

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⏰ TIMESTAMPS:

0:00 - What Is MCP And Why It Matters

1:02 - Meet The Hosts And Episode Overview

2:10 - Breakdown Of The Modal Context Protocol

5:00 - Unified API Explained Simply

10:02 - From API To AI Agent Workflow

13:01 - How To Connect MCP Tools In Claude

20:03 - Building And Editing Forms Using MCP

27:00 - Dynamic Form Analysis Through ChatGPT

32:57 - Automate Complex Workflows With Natural Language

38:00 - The Future Of AI Integration In the Workplace

42:00 - Adoption Curve And Closing Thoughts On MCP

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In this episode of the AI Agents Podcast, Dave Hengartner, co-founder and CEO of rready, shares how employee-driven innovation is shaping the next generation of corporate ventures.

With a background in intrapreneurship at Swisscom, Dave discusses how rready empowers organizations to unlock innovation by giving employees the tools, structure, and AI-powered workflows to turn their ideas into real business impact.

From idea sourcing and trend analysis to enterprise-level AI integration, rready supports companies in transforming innovation into a scalable, measurable, and impactful strategy.

Discover how rready’s AI-driven SaaS platform supercharges ideation, integrates into existing enterprise systems, and addresses common innovation bottlenecks such as low throughput and lack of relevant ideas.

Dave also explores how intrapreneurship builds a fulfilling workplace culture and why AI, when implemented correctly, is a productivity catalyst rather than a job threat.

Whether you're leading transformation or looking to inspire internal innovation, this episode is packed with actionable insights.

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⏰ TIMESTAMPS:

0:00 - Empowering Intrapreneurs Within Corporations

1:15 - Journey From Corporate To Startup

2:59 - Building Innovation SaaS For Enterprises

5:00 - The Rise Of Ready AI

6:57 - Using AI To Fuel Innovation

10:01 - Solving Ideation Challenges With AI

14:54 - Innovating With Enterprise LLM Integration

18:48 - Driving AI Adoption In The Workplace

25:02 - Data Privacy And Enterprise Readiness

33:02 - The Future Of Agentic Workflows

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In this episode of the AI Agents Podcast, Seva Ustinov, founder of Elly Analytics, explains how his team turned into an AI-first company with the help of Cursor-based AI agents.

You’ll hear:

— How AI agents can be embedded across marketing, product, and operations workflows.

— Concrete examples of Cursor in action, such as automating project updates, analyzing meeting transcripts, and supporting recruitment decisions.

— Key lessons on structuring AI workflows, integrating multiple tools, and scaling AI-driven processes for real business impact.

This episode is a must-watch for anyone interested in productivity automation, real AI use cases, and applying AI agents to drive actionable insights.

Seva shares his journey from leading a successful digital marketing agency to building an AI-first product company that bridges the gap between delayed customer conversions and precise channel attribution for SaaS, healthcare, home services, and similar industries.

Discover how Elly Analytics uses AI agents to analyze ad performance across multiple platforms like Google, Meta, TikTok, and influencer networks—transforming data into actionable insights and automating workflows for better ROAS and customer acquisition.

This episode dives into practical AI use cases, including tools like Cursor and custom AI assistants that are redefining productivity for marketing, product, and operations teams.

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Check out Elly Analytics here: https://ellyanalytics.com/

GitHub Library where Seva open-sourced his AI-first company template: https://github.com/VsevolodUstinov/ai-first-workspace-template

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⏰ TIMESTAMPS:

0:00 - Intro To Marketing Data Challenges

1:13 - Meet Seva Ustinov Of LE Analytics

2:33 - Building AI For Performance Marketing

5:01 - Shifting From Services To AI Product

9:01 - Breaking Down LTV And Attribution

13:02 - Automating Competitive Research With Agents

20:57 - Scaling Personal Productivity With AI

28:24 - Cross-Department AI Use Cases

36:00 - AI Agents And Custom Workflow Rules

39:06 - Getting Started With Cursor AI Workspace

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