What If Every Customer Could Get Personal Attention at the Same Time?
What if every customer could receive personalized attention at the same time? Conversational AI is making that possible. From helping thousands of travelers navigate an airport to guiding homebuyers through more than 8,000 property listings, AI can deliver individualized support at a scale that was previously impossible. But the real opportunity isn’t replacing people. It’s freeing them to focus their expertise, judgment, empathy, and creativity where they create the greatest value.
The Most Important Question in AI Isn’t What It Can Do. It’s Who It Pretends to Be.
Artificial intelligence can now generate realistic faces, voices, and conversations that are nearly indistinguishable from those of real people. But just because AI can imitate humans doesn’t mean it should. In this latest installment of CodeBaby’s Ethics in AI series, CEO Norrie Daroga explores the growing ethical challenge of AI-generated identities and why transparency must become a core design principle for conversational AI. The future of AI won’t be defined by how convincingly it looks human, but by how honestly it earns our trust.
Platform Update: More Natural. More Deployable. More Scalable.
Real conversations aren’t scripted, so conversational AI shouldn’t be either. CodeBaby’s latest platform update introduces capabilities that make interactions feel more natural, deployments more flexible, and development faster than ever. From automatic language detection and smarter interruption handling to holographic display support, new APIs, and enterprise-ready integrations, this release reflects our vision for conversational AI that fits seamlessly into the way people communicate and the places organizations work. Here’s a look at what’s new and how it’s helping customers build more engaging conversational experiences at scale.
AI Is Advancing Faster Than Ever. That Makes Responsible Design More Important Than Ever.
The rapid advancement of artificial intelligence has sparked an important global conversation about the future of work, the economy, and society. But while policymakers debate how to prepare for what’s ahead, AI companies also have a responsibility to ask a different question: What kind of AI are we choosing to build? In this latest installment of CodeBaby’s Ethics in AI series, CEO Norrie Daroga shares why responsible AI begins with intentional design, why trust matters more than ever, and why human values should guide the future of artificial intelligence.
You Can’t Learn Difficult Conversations from a Slide Deck
We spend enormous time teaching people what to say in tough workplace conversations, and almost none giving them a chance to practice saying it. Michelle Collins, COO of CodeBaby, makes the case that conversational AI can finally close that gap, turning knowledge into confidence long before the real conversation happens.
Why the Best Workplace Training Feels Like a Conversation
Traditional workplace training often struggles to bridge the gap between learning and real-world application. In this article, Michelle Collins explores how character-based conversational AI is transforming training from a one-time event into an ongoing dialogue. By delivering personalized coaching, real-time guidance, and risk-free practice opportunities, conversational avatars help employees retain knowledge, build confidence, and apply what they’ve learned when it matters most.
The Booth That Actually Starts a Conversation: How Conversational AI Avatars Transform Trade Show Engagement
Trade show success isn’t about bigger booths or louder presentations. It’s about creating meaningful conversations. Discover how conversational AI avatars are helping brands engage attendees, qualify leads, and turn event interactions into lasting relationships, with insights from CodeBaby’s collaboration with Coca-Cola and the evolution of the AI avatar Jenn Z.