Blogs

Every great trainer knows the same frustration. The bottleneck is not knowledge — it is presence. One expert can stand in one room, on one call, with one cohort at a time. Everyone else waits: the next group of clients, the new hires who start a month after the workshop, the learner who understood most of it and needs just one part explained again, differently. The expertise is there. It simply cannot be in enough places at once, and so the very people who most need an expert's help often get it last, briefly, or not at all.

When Harvard's researchers reported their striking result last year — students learning more than twice as much with an AI tutor as in an active-learning classroom, in less time — most coverage treated it as a story about artificial intelligence. Read the study closely and it is a story about a teacher. Greg Kestin and his colleagues did not point a generic chatbot at a physics course and hope for the best.

Every museum has her. She has volunteered for thirty years, she gives the Thursday tour, and she knows things no label copy will ever tell you — which portrait makes schoolchildren go quiet, what the founder's letters actually say, the one question visitors ask that takes ten minutes to answer properly. She is the interpretive heart of the museum. She is also there four hours a week, and one day she will retire, and most of what she knows will go home with her.

In 2025, researchers at Harvard published a result that should change how we think about AI in education. In a randomized crossover trial with 194 introductory physics students, Greg Kestin and his colleagues compared a custom-built AI tutor against one of the strongest alternatives available: an active-learning classroom led by experienced instructors. The students who learned with the AI tutor learned more than twice as much — and they did it in less time, reporting greater engagement and motivation along the way.

Understanding the difference between stylistic 3D avatars and photorealistic AI video avatars is essential when choosing the right solution for your needs. Both are types of generative avatars, which operate in real time. These avatars can listen to users or receive text input, and they respond with voice or text. This is different from static AI-generated videos, which do not change or respond to user interaction.

Photorealistic AI Video Avatars

We’re thrilled to unveil the latest evolution of Knowledge Avatars, now powered by expressive, customizable stylistic characters. Imagine having a digital assistant that not only talks and listens but also has a face that truly connects with your audience.

🌟 What’s New?

Emiliano De Laurentiis introduces Kathleen Tarochione, founder of the Golden Life Community, to discuss their partnership in creating AI-powered "golden legacy living memoirs" to help older women share their life stories.

Knowledge Avatars (KAs) are revolutionizing classrooms by enhancing teaching effectiveness and deepening student learning. Here’s how we’re implementing this dynamic tool across several schools.

For Teachers: Personalized Teaching Assistant

Knowledge Avatar bots are customizable, allowing teachers to upload tests, notes, videos, rubrics, and other resources. This creates a powerful, personalized assistant that can:

As educators, we’re constantly asking ourselves: Will new technology help our students—or distract from their learning? We’ve seen how tools like social media can be a double-edged sword. Now, with AI, we’re at a similar crossroads. The good news? Its impact is in our hands.

"The greatness of humanity is not in being human, but in being humane.” — Mahatma Gandhi

When it comes to addressing knowledge gaps, it helps to go back to basics—starting with concepts.

In this episode, Karl Dakin, a business advisor, discusses a Knowledge Avatar he created called CAP to answer questions about entrepreneurship and funding. He believes Knowledge Avatars, trained with specific, intentionally biased information, provide more accurate answers than general AI platforms. Emiliano De Laurentiis, who helped develop CAP, emphasizes the advantage of Knowledge Avatars in controlling and monetizing intellectual property and their real-time, interactive capabilities.