all videos

Inside Magi’s Approach to AI Reliability and Guardrails for Content Automation

Founding engineer Yathaarth Jamwal on hallucinations, agentic workflows, and human-in-the-loop quality control.

all videos

Inside Magi’s Approach to AI Reliability and Guardrails for Content Automation

Founding engineer Yathaarth Jamwal on hallucinations, agentic workflows, and human-in-the-loop quality control.

all videos

Inside Magi’s Approach to AI Reliability and Guardrails for Content Automation

Founding engineer Yathaarth Jamwal on hallucinations, agentic workflows, and human-in-the-loop quality control.

About this video

About this video

Yathaarth, founding engineer at Magi, breaks down the real challenges of generative AI—hallucinations, bias, lack of context, and factual errors—and how Magi addresses them. Learn how agentic workflows, expert-defined guardrails, and human-in-the-loop checkpoints work together to ensure grounded, reliable, and compliant AI-generated content.

Yathaarth, founding engineer at Magi, breaks down the real challenges of generative AI—hallucinations, bias, lack of context, and factual errors—and how Magi addresses them. Learn how agentic workflows, expert-defined guardrails, and human-in-the-loop checkpoints work together to ensure grounded, reliable, and compliant AI-generated content.

Up Next

People Behind Magi: Arunabh on Designing AI-First Product Experiences

0:53

People Behind Magi: Deekshaa on AI, Design, and Staying On-Brand

0:26

People Behind Magi: Sai on UI for Humans and AI

0:26

People Behind Magi: Mrityunjay on Building a Collaborative AI Editor

0:47

People behind Magi: Harshini on collaboration, AI, and staying human

1:18