Uploaded July 2026 | Updated September 2026, 3 weeks ago

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Learn how to build the multi-step agent we'll evaluate for the rest of this series: a financial-analysis chatbot that researches live data and writes a report, instrumented from the first line of code.

We built in a flawed prompt on purpose. That's what sets up the real, interesting failures the next few episodes will catch and fix.

Watch this to learn:
• How to build a multi-step agent (research + summarizer turns) with the Claude Agent SDK
• Why a deliberately flawed prompt sets up the failures we'll catch later
• How to run the agent and read the full end-to-end trace in Arize AX
Model used: Claude Haiku 4.5.

Chapters:
00:00 Building the financial-analysis agent
00:28 Research + summarizer turns
00:40 Why Claude Agent SDK
01:04 Agent config and a flawed prompt
02:45 Running the agent
04:15 Reading the full trace in Arize AX
05:44 Why traces matter, don't write evals yet

👉 Sign up for free: app.arize.com/auth/login?utm_source=youtube&utm_medium=organic_social&utm_campaign=arize_ax_getting_started
🔗 Learn more about Arize AX: arize.com
📓 Colab notebook for the series: colab.research.google.com/drive/1dViThD0kJjbqtDGE7-ciBYIRwV-HBN1T
📚 Docs: docs.arize.com
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#ArizeAX #AIAgents #ClaudeAgentSDK