AI Agents Podcast

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In this episode of the AI Agents Podcast, we speak with Ian Amit, co-founder and CEO of Gomboc.ai, about how AI agents are revolutionizing cybersecurity and infrastructure management.

Drawing on his extensive background as both an attacker and defender in the cybersecurity space, Ian discusses how deterministic AI can identify and fix vulnerabilities in cloud environments, optimize performance, and reduce engineering toil at the source—right within the development environment.

Ian explains how Gomboc.ai shifts the focus from merely identifying problems to actually fixing them in real-time, embedded within the coding process.

We also explore why generative AI often falls short in secure engineering applications and how Gomboc’s deterministic approach brings speed, accuracy, and trust to software development.

Whether you're a DevOps professional, security engineer, or tech leader, this episode offers key insights into the future of AI-powered development and cybersecurity.
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⏰ TIMESTAMPS:
0:00 - Expanding Fixes Beyond Security
1:03 - Introducing Ian Amit and Gombok AI
2:00 - How Cybersecurity Led to AI Innovation
5:51 - Problem Solving Through AI in Security
10:02 - Early Motivation Behind Gombok AI
16:01 - Shifting Left in Code Fixing
21:00 - Fixing Code Problems at the Source
28:49 - Problems With AI-Generated Code
33:08 - Real-World Use Cases in Cloud Security
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Claude Cowork is transforming the way we interact with AI in our daily workflows.

In this episode, Demetri Panici and Aytekin Tank explore this groundbreaking new tool from Anthropic, showcasing powerful real-world use cases where Claude Cowork goes beyond basic chat capabilities to actually execute tasks on your desktop.

From organizing files to building presentations, automating browser actions, and generating PDF reports, Claude Cowork functions as a true digital assistant, helping users with productivity-enhancing automation without needing to write code.

The hosts break down how Claude Cowork leverages access to your computer and browser to perform intelligent tasks with context awareness and user permissions.

Whether it's streamlining client meeting recaps, building forms with integrations like Jotform, or cleaning up cluttered folders, this AI agent offers an unparalleled level of autonomy and precision.

Tune in to learn how you can start using Claude Cowork to turn ideas into action and boost your daily efficiency with minimal input.
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⏰ TIMESTAMPS:
0:00 - How Claude Cowork Was Created
1:05 - Introducing Claude Cowork AI Agent
2:20 - Use Cases and Early Impressions
5:01 - Full Access to Files and Browser
7:02 - From Chatbot to Execution Agent
11:01 - Real-Time Folder Organization Demo
17:00 - Claude Cowork’s Planning Capabilities
21:00 - Jotform Integration via MCP Connector
26:00 - Creating Client Meeting Reports
31:00 - Chrome Extension and Web Automation
40:00 - Claude Controls Another AI Session
47:30 - Final Thoughts and Productivity Potential
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In this episode of the AI Agents Podcast, we sit down with Peter Grimvall, co-founder and CEO of Ekona AI, to explore how AI is reshaping operations in highly regulated industries like pharma, finance, and supply chain.

Peter shares his journey from leading AI initiatives at IKEA to building a lean, AI-first company that simplifies complex business processes using GenAI and machine learning.

Hear how Ekona leverages advanced AI models to automate tasks like compliance review, sales forecasting, and agentic workflow orchestration—cutting months of labor down to days.

We also dig into practical insights on the evolving capabilities of AI, from building multi-agent solutions to deploying secure, offline AI tools for sensitive industries.

Peter offers a grounded take on AI’s real impact on jobs, innovation, and operational agility, making this episode a must-listen for anyone looking to future-proof their organization with smart, scalable AI solutions.
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⏰ TIMESTAMPS:
0:00 - AI Industry Shifts and Model Trends
1:00 - Guest Introduction and Econa’s Origin Story
6:58 - Running a Lean, AI-First Company
12:15 - Key Use Cases in Pharma and Supply Chain
20:27 - Building and Managing Multi-Agent Systems
27:00 - Evolution of AI Models and Real-World Impact
33:00 - The Truth About AI and Job Displacement
38:01 - Most Misunderstood Business Use of AI
41:04 - Practical Ways Companies Can Implement AI
45:42 - Favorite AI Tools and Real-World Applications
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AI isn’t just changing how we work — it’s redefining who truly belongs in their craft.

In this episode of the AI Agents Podcast, host Demetri Panici sits down with Ray Jang, Founder & CEO of Atria, to discuss how AI is reshaping creative work, careers, and the future of modern advertising.

From Ray’s journey leaving TikTok to surviving a near-death startup pivot, to building a creative intelligence platform used by brands and agencies alike, this conversation dives deep into:

➡️ How AI is lowering the floor but raising the ceiling

➡️ Why the “middle” of many careers is disappearing

➡️ The future of creative work, advertising, and AI agents

➡️ What it really takes to build and adapt in an AI-first world

Whether you’re a founder, marketer, creative, or builder, this episode will challenge how you think about skills, leverage, and long-term relevance.

👉 Are you mastering your craft — or just getting by?

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⏰ TIMESTAMPS:
00:00 – AI as a “Binary Filter” for Careers
02:10 – Intro: Meet the Host & Podcast Overview
03:15 – Welcoming Ray Jen, Founder & CEO of Atria
05:40 – Ray’s Background & Time at TikTok
08:45 – The First Startup Idea & Why It Failed
12:30 – The Painful Pivot With 3 Months of Runway
16:40 – Finding Product-Market Fit Under Pressure
21:55 – How Atria Was Born
25:30 – What Creative Intelligence Really Means
30:10 – How Brands & Agencies Use Atria Today
34:45 – Scaling Ads Without Scaling Teams
39:20 – AI, Creativity & Job Displacement
44:10 – Lowering the Floor, Raising the Ceiling
48:55 – Why AI Empowers True Creators
52:10 – Ray’s Long-Term Vision for Atria
54:00 – Final Thoughts & Where to Find Ray
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What happens when AI leaves the lab and enters real life?

In this episode of the AI Agents Podcast, host Demetri Panici sits down with Ina Jelic, Founder & CEO of Enough, to explore how AI can be used to solve one of the most critical and human problems: personal safety.

Ina shares a powerful personal story that led her into building an AI-powered wearable — a mini AI bodyguard — designed to detect threats autonomously using multimodal AI, including audio and video analysis.

From real-time danger detection to evidence collection and intelligent escalation, this conversation dives deep into how AI can replace human limitations in high-stress situations.

You’ll hear how AI agents reason in real time, why edge AI matters for safety-critical products, and what it really takes to bring AI + hardware into the real world.

This episode also explores the emotional, ethical, and technical challenges of deploying AI systems that people rely on when it matters most.
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⏰ TIMESTAMPS
00:00 – Why AI going live is both exciting and scary
00:48 – Meeting Ina, Founder & CEO of Enough
02:37 – A real-life attack and the reality of personal safety
05:46 – Introducing the AI-powered wearable bodyguard
08:59 – Audio threat detection and keyword analysis
10:42 – Video analysis, object detection, and behavior patterns
13:17 – Why AI must act without user input
14:01 – From idea to R&D: building the product
16:16 – Why evidence matters psychologically
18:21 – How AI became the true core of the product
19:52 – AI in police systems and manual processes
21:14 – How AI evolution changed the product architecture
23:38 – Edge AI and real-time decision making
25:00 – What edge AI actually means
28:31 – How it feels to finally bring AI into the real world
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