Video by Open Data Science and AI Conference via YouTube
What happens when AI stops just answering questions — and starts actually doing things for you?
In this episode of the ODSC AiX Podcast, guest host Jerry Wolfe sits down with Mohammad Soltanieh-ha, PhD, Clinical Assistant Professor at Boston University’s Questrom School of Business, to explore the shift from chatbots to AI systems that can take action in the real world.
Mohammad shares how he built a context-aware live translation app after existing AI tools fell short during his travels, and what it really takes to turn an AI prototype into a reliable product.
They dive into personal AI agents that can research, organize information, and create customized audio briefings, as well as the validation, guardrails, security, and human-centered design needed to make these systems actually work.
The conversation also explores KlickBox, Mohammad’s interface for personal AI agents, how AI is making software development more accessible, and a bigger question: What if AI’s greatest opportunity isn’t replacing existing work, but enabling things that were never possible before?.
00:00 Episode Preview: Building Better AI Systems
00:13 ODSC AiX Podcast Introduction
03:47 How AI Agents Are Changing Everyday Life
07:00 Personal AI Apps: Privacy & Security Risks
09:20 How Context-Aware AI Translation Works
13:59 Building a Real-Time Voice-to-Voice AI Translator
16:31 Testing & Evaluating Reliable AI Applications
22:15 AI Guardrails, Security & Agent Reliability
25:04 Why Build AI Agents Instead of Just Using ChatGPT?
29:45 Live Demo: AI-Powered Translation App
35:00 Building AI Apps with AI Coding Agents
39:00 AI Agent Security & Real-World Risks
41:27 From AI Prototype to Production-Ready Application
44:33 KlickBox: Building Personal AI Agents
47:54 Turning Research Into AI-Generated Podcasts
53:42 Making AI-Generated Audio Sound Human
59:27 The Future of AI: Building What Wasn’t Possible Before
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