Blog

Ideas, insights &
field notes.

Stories from the teams building with LIVR AI: product deep-dives, engineering write-ups, and lessons from real deployments.

agentic
Product

What Is Agentic AI? A business guide to AI agents

Most people have heard the term “AI agents”, but few can explain what actually separates one from a chatbot. This is what agentic AI really is, and how businesses are putting it to work today.

Roberta Lombardi · 9 min readRead
AI-XR TRAINING
Insights

What Is VR Training? How Companies Use XR for Immersive Learning

Employees trained in VR complete training up to 4× faster than in the classroom. Here is what VR training actually is, why it works, and where companies are putting it to use today.

Livr Team · 8 min readRead
architecture
Product

RAG Explained: How Businesses Can Turn Internal Knowledge into AI Systems

Most companies sit on years of documents, tickets, and institutional expertise. RAG is the approach turning that knowledge into an AI system your teams can actually query.

Livr Team · 7 min readRead
xr
Insights

Virtual Tours vs. Digital Twins: How 3D Technology Brings Real Estate, Hospitality, and Training to Life

A photo gallery or a walkthrough video can only tell people so much about a space. Virtual tours and digital twins solve that problem in two different but related ways.

Livr Team · 8 min readRead
humanistic
Product

AI Avatars for Training: How Digital Humans Help Employees Practice Real Conversations

A digital human that can see, hear, and respond in real time turns training from a one-way broadcast into an actual conversation.

Livr Team · 8 min readRead
training
Insights

High-Risk Industry Training: How AI and XR Are Changing Simulation

AI and XR were developing on separate tracks for years, but the two are converging into what we call intelligent immersion, environments that adapt to the trainee in real time.

Livr Team · 9 min readRead
safety
Insights

AI Agent Governance and Safety: A Business Guide to Responsible AI

Businesses are moving fast from experimenting with AI to trusting it with real autonomy. That gap between deployment speed and oversight readiness is exactly where things go wrong.

Livr Team · 8 min readRead

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