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WEBINAR | JUN 4, 2026, 10AM PT

Human and AI Agent Interaction: Patterns and Outcomes from Real-Time Telemetry

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Gang Tao

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Vlad-Mihai Iorga

As AI agents become more capable and embedded in daily workflows, understanding how people interact with, rely on, and form attachments to these systems is increasingly important.

This month's webinar is hosted by our CTO, Gang Tao, and features Vlad-Mihai Iorga, Associate Director of Digital Innoation at NHS Foundation Trust and Founder of Agenticracy. Vlad will introduce his ongoing study on human and AI agent interaction, using Timeplus AgentGuard. The study will recruit 100-150 participants, each paired with an AI agent such as Hermes, OpenClaw, Gemini, Perplexity, or other agent systems. Using a custom telemetry harness, the research will capture how users engage with agents over time, including patterns of reliance, attachment, behavioral change, and interaction outcomes.

We will also explore how this real-world telemetry dataset can support agent monitoring, observability, detection, and security. Vlad and Gang will discuss why these interaction patterns matter for evaluating agent behavior, understanding user trust, and developing systems like AgentGuard that make AI agent deployments safer and more transparent.

Register today to save your spot! If you can't make it, register anyways and we'll send you a recording of the session.

WHEN: 

Thursday, June 4, 2026

10:00-10:30am PT

WHERE:

Virtual 

Access via LinkedIn Live or Zoom

WHAT:

Human and AI Agent Interaction: Patterns and Outcomes from Real-Time Telemetry

Meet Our Hosts

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Gang Tao

CTO, TIMEPLUS

Gang has 20+ years of experience in software development, and is a recognized expert of AI, BI, big data and data visualization. Prior to Timeplus, he was the Principal Engineer of Splunk's ML and Data platform. Gang is also a die-hard fan of AC Milan.

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Vlad-Mihai Iorga

Associate Director of Digital Innoation, NHS Foundation Trust

Vlad has spent 20 years working inside institutions now being rapidly reshaped by AI, including law enforcement, healthcare, and workforce systems. His work focuses on closing the gap between AI policy and real-world implementation, with an emphasis on accountability, fairness, and the psychological safety of the people affected by these systems.

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