What happens when an AI agent says something harmful, or makes a costly mistake? Who’s responsible—and how can we even know who the agent belongs to in the first place?

In this episode of AI-Curious, we talk with Evin McMullen, CEO and co-founder of Billions.Network, a startup building cryptographic trust infrastructure to verify the identity and accountability of AI agents and digital content.

We explore the unsettling rise of synthetic media and deepfakes, why identity verification is foundational to AI safety, and how platforms—not users—should be responsible for determining what’s real. Evin explains how Billions uses zero knowledge proofs to establish trust without compromising privacy, and offers a vision for a future where billions of AI agents operate transparently, under clear reputational and legal frameworks.

Along the way, we cover:

• The problem with unverified AI agents (2:00)
• Why 50% of online traffic is now bots—and why that matters (2:45)
• The Air Canada chatbot legal fiasco (15:00)
• The difference between chatbots and agentic AI (13:00)
• What “identity” means in an AI-first internet (10:00)
• Deepfakes, misinformation, and the limits of user responsibility (22:00)
• Billions’ “deep trust” framework, explained (29:00)
• How platforms can earn trust by verifying content authenticity (34:00)
• Breaking news: Billions’ work with the European Commission (38:20)

This one dives deep into the infrastructure of digital trust—and why the future of AI may depend on getting this right.

Learn more: https://billions.network

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What exactly are AI agents doing out in the wild — and are they actually helping sales teams, or just adding noise?

We explore the fast-evolving world of AI sales agents with a real-world case study from Alta, a startup deploying purpose-built AI agents named Katie, Alex, and Luna. In this episode of AI-Curious, we speak with Stav Levi-Neumark, Alta’s CEO and co-founder, about how agentic AI is already transforming sales workflows—from prospecting to pipeline generation to inbound response.

We look under the hood to examine how these agents operate, what distinguishes them from chatbots, and how they interact with human reps. We also explore the ethics, limitations, and future of AI-human collaboration in business development—and what it means to build trust in AI systems.

Whether you work in sales, lead a startup, or are just curious about how AI tools are functioning in the real world, this conversation offers a sharp, concrete look at the tech reshaping how companies grow.

Topics and Timestamps:

00:00 — What are AI agents doing, really?

01:00 — Behind the scenes at HumanX and the rise of Alta

03:00 — Meet Katie, Alex, and Luna: AI sales agents with defined roles

08:00 — How AI agents qualify leads and determine buying intent

13:00 — The distinction between chatbots and agentic AI

18:30 — How AI agents can avoid becoming spammy LinkedIn bots

22:00 — Alex the calling agent: real-time inbound response and transparency

28:00 — What tools make an AI agent different from a workflow

31:00 — Autonomy, decision-making, and sales team augmentation

36:00 — The challenge of trust and how to begin using AI agents at low risk

39:00 — Stav’s journey as a founder and the four-generation Vegas trip

42:00 — How she uses AI personally: support agents, internal tools, and therapy

44:30 — Advice for sales professionals on embracing AI

46:30 — Predictions: what sales might look like in 5 to 10 years

Let us know what you think—and whether Luna is getting the respect she deserves.

About Alta:

https://www.altahq.com/

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In this episode of AI-Curious, we explore what it means to grow up in a world where AI is simply… normal. We’re joined by Matt Britton, branding strategist and author of Generation AI: Why Generation Alpha and the Age of AI Will Change Everything, for a wide-ranging discussion about how artificial intelligence is transforming childhood, education, branding, healthcare, and the very fabric of society.

We look at how Gen Alpha will interact with AI “sidekicks,” how the role of brands might erode in a world of personalized AI agents, and what this all means for marketers, parents, and future professionals. Matt also lays out why the traditional four-year college degree may collapse, how one-person billion-dollar companies are now within reach, and what core skills the next generation—and the rest of us—will need to thrive.

We close with practical advice on how to future-proof ourselves in the age of intelligent agents, synthetic creativity, and AI-native consumers.

Topics include:

• (0:00) Gen Alpha and the future of AI-native childhood
• (3:03) How AI will transform marketing and branding
• (7:04) LLMs, AI agents, and the death of traditional demographics
• (14:01) Rethinking education and the collapse of the knowledge economy
• (17:10) One-person billion-dollar companies and the new AI tech stack
• (21:40) Personalized healthcare, diagnostics, and AI as your doctor
• (25:21) One simple way to future-proof your life in an AI-powered world

Let us know what you think, and if this episode gets your gears turning, share it with someone who’s curious about the future.

Matt Britton:

https://mattbritton.com/

The new book Generation AI:

https://www.amazon.com/Generation-AI-Alpha-Change-Everything/dp/139430885X

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