In this episode of The AI Agents Podcast, Yana Tornoe, co-founder and COO of Question Base, joins us to explore how artificial intelligence is reshaping how organizations manage knowledge and drive student and employee success in the EdTech space.
Yana shares insights from over a decade of building productivity tools, highlighting the challenges enterprises face in converting outdated communication and scattered documentation into verified, reliable answers through AI-powered knowledge systems.
We dive into how Question Base integrates with platforms like Slack, Google Drive, and Notion to centralize and enhance knowledge sharing while maintaining accuracy and compliance, especially crucial in sectors like education, medtech, and fintech.
Yana also discusses the evolving role of human oversight in AI workflows, emphasizing the need for AI agents to be managed just like any team member to ensure trustworthy and scalable results.
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⏰ TIMESTAMPS:
0:00 - Why AI Management Skills Matter
1:00 - Meet Yana Tornow Of QuestionBase
2:25 - Building QuestionBase From Real Problems
6:50 - Integrating Slack, Notion And Company Tools
10:00 - Challenges With Enterprise AI Accuracy
14:00 - Industries Adopting AI Agents
22:00 - Impact Of LLM Improvement On Products
29:00 - Evolving UX In AI Knowledge Management
38:00 - Documenting Knowledge In An AI World
41:00 - AI’s Future Impact On The Job Market
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In this episode of the AI Agents Podcast, Marc Gyöngyösi, founder and CEO of OneTrack, shares his journey from robotics at BMW to leveraging AI vision technology to revolutionize safety and productivity in industrial environments.
We dive into the challenges of outdated legacy systems in warehouses and manufacturing, and how AI agents are now bridging the gap between physical operations and digital intelligence—significantly reducing inefficiencies, improving safety, and elevating real-time decision-making.
Marc also discusses OneTrack’s approach to building scalable, multi-agent frameworks that validate results, ensure technical accuracy, and expand beyond static dashboards to offer proactive, personalized insights.
Whether it's reducing warehouse injuries, automating operational analysis, or replacing outdated software, this conversation highlights the transformative role of AI in the future of industrial automation.
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⏰ TIMESTAMPS:
0:27 - Meet The Podcast Hosts
1:18 - Mark’s AI Journey Begins
3:10 - Solving Real-World Logistics Problems
5:49 - Safety And Productivity With AI
10:25 - Why Now Is The Time For AI
13:37 - Long-Term Vision For AI In Operations
20:25 - Ensuring Agent Accuracy And Reliability
27:02 - Reducing AI Risks In The Workplace
33:06 - AI’s Impact On Jobs And Society
35:03 - Why Dashboards Are Becoming Obsolete
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In this episode of the AI Agents Podcast, we sit down with Chris Hand, founder and CEO of GenServ.ai, to explore how enterprise organizations can deploy reliable AI agents to handle complex, repeatable business processes.
Chris shares his journey from leading a venture studio to launching GenServ, a company dedicated to building "digital employees" that bring automation and generative AI into the back office, streamlining operations across industries like staffing, legal, education, and equipment financing.
Throughout the conversation, Chris dives into the technical foundations of building functional AI agents—highlighting prompt chaining, multi-model orchestration, and aligning AI use with real business goals.
He also touches on the evolving AI model landscape, including Claude 4.5 Sonnet and Gemini 2.5 Flash, and why system access remains the biggest bottleneck for scaling intelligent agents.
If you're looking to adopt AI meaningfully in your business or want to understand how agentic automation is reshaping hiring and knowledge work, this episode offers practical insights.
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⏰ TIMESTAMPS:
0:00 - Back Office Automation With AI
1:37 - Starting GenServ AI
4:08 - The Power Of A Co-Founder
7:18 - Solving Real Business Problems
10:11 - Why Prompt Chaining Still Matters
17:39 - Implementing Agents For Clients
24:25 - AI In Traditional Industries
28:03 - Underestimated Power Of Gemini
36:02 - Evaluating New AI Models
39:58 - Job Replacement And Digital Employees
44:54 - System Access As The Next Barrier
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In this episode of AI Agents, we explore how AI is transforming customer experiences in Germany with Tyrel Gidinski, founder of AICX. Tyrel shares insights into why German enterprises are cautiously adopting AI, focusing heavily on security, integration, and measurable outcomes.
From improving team collaboration to saving tens of thousands of man-hours with generative AI, Tyrel discusses how AICX has successfully helped clients move from experimentation to impactful implementation.
We also dive into the unique challenges and opportunities of building AI agents tailored for the European market, including how the AICX HARP engine operates independently of mainstream tools to ensure enterprise-level security and performance.
If you're interested in how AI agents are reshaping industries like automotive, insurance, and consulting—especially in highly regulated environments—this episode delivers actionable strategies and real-world use cases.
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⏰ TIMESTAMPS:
0:00 - European AI Privacy Concerns
0:49 - Meet Tyrell And His AI Journey
3:07 - Excitement Around AI Adoption
6:00 - Target Customers And Industry Focus
9:20 - Challenges With AI Integration
12:03 - Enterprise Security And MCP Risks
17:31 - Agent KPIs And Business Value
21:06 - Importance Of Adoption In AI
26:04 - The Role Of Internal AI Teams
32:26 - Future Of Agents And Seamless Integration
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Discover how AI is disrupting influencer marketing in this revealing episode with Kostas Ketselidis, founder of Uplodio.
We dive into how his team built Amy, an AI agent that automates the entire influencer campaign process—from creator discovery and outreach to negotiation and onboarding.
Learn how brands are scaling their influencer programs using intelligent agent workflows that reduce manual effort and optimize campaign execution.
This episode explores real-world use cases from startups and SaaS companies, the challenges of AI adoption in traditional workflows, and the future of AI agents inside marketing teams.
Whether you're a founder, marketer, or AI enthusiast, this episode uncovers how intelligent automation is reshaping the creator economy.
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⏰ TIMESTAMPS:
0:00 - Future Of AI In The Workforce
0:46 - Meet The Guest: Costas From Uplodio
1:21 - How Uplodio Started With AI
2:43 - Transforming Influencer Marketing With AI
4:24 - How Uplodio’s AI Agent Works
5:49 - Case Study: Sivable’s Influencer Campaign
7:02 - Uplodio Vs Traditional Influencer Agencies
8:43 - Why Influencer Marketing Needs Automation
10:23 - The Future Role Of AI In Teams
13:58 - AI Agents And The Job Market Outlook
16:18 - Personality In AI Agents: Meet Amy
20:21 - Where The AI Workflow Currently Ends
24:08 - Building Custom Workflows For Marketing Teams
27:15 - Top AI Tools Founders Are Using
29:58 - Founder Sales Stack Breakdown
34:02 - Favorite Tools And Features Of Uploadio
36:45 - Scaling Influencer Deals Through AI Automation
38:03 - Final Thoughts On AI’s Rapid Growth
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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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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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