AI Agent Observability: OpenClaw, ClawMetry and Observability | Vivek Chand (Booking.com)

How do you monitor AI agents in production? 

In this episode, Vivek Chand, tech leader at Booking.com and founder of ClawMetry breaks down AI agent observability, evaluation loops, and his open-source tool ClawMetry tracking agent behaviour in real time. Clawmetry is an open-source tool with already 30,000 plus downloads after just a week. 

Vivek shares his engineering journey from startups to leading customer support AI at Booking.com, what it actually takes to ship AI systems that deliver ROI, and why observability is the missing layer for agentic AI workflows.

We cover OpenClaw for coding agents, how ClawMetry visualizes agent actions, subagent spawning, file access, and token usage, plus the roadmap for remote monitoring, mobile apps, and security alerts.

🔑 Topics covered:
AI agent observability explained
Building production AI systems at Booking.com
Evaluation loops for prediction quality
OpenClaw use cases for coding agents
Clawmetry Telemetry: open-source agent monitoring
Advice for junior AI engineers in 2026

00:00 Welcome and Guest Intro
00:59 Vivek Career Journey
03:03 Building AI at Booking
04:26 Scaling Systems and Eval Loops
06:19 Advice for Junior Engineers
07:48 Why Agent Observability Matters
11:30 OpenClaw Use Cases for Coding
13:21 Productivity Gains with Agents
14:43 What Telemetry Does
18:03 How Telemetry Was Built
19:53 Roadmap Managed and Security
22:24 Future of Agents and Monitoring

To download and try Clawmetry, you can use the following link: https://clawmetry.com/

There is also a cloud version available with a 7-day free trial here: https://clawmetry.com/cloud

Clawmetry Mac app:  https://clawmetry.com/mac