From the course: Building AI Agents with Snowflake
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Your agent in Snowflake Intelligence - Snowflake Tutorial
From the course: Building AI Agents with Snowflake
Your agent in Snowflake Intelligence
Your agent just told a sales director that a $150,000 deal will probably close. The director makes budget decisions based on that answer. Three weeks later, the deal falls through. What went wrong? Was it the data? The instructions? The tool selection? You have no idea, you're flying blind. Production agents need more than correct answers. They need reliability you can measure. Instructions you can optimize, and accessibility where your team actually works. Not just in Snowflake, but in Anthropx Cloud Desktop, other agents, everywhere. Before we dive into these advanced capabilities, let's quickly revisit what you've built in the previous module. Quick recap of what you've built. a semantic view that maps business terms to database columns, a search service that finds insights in conversation transcripts, and an agent that connects both tools. It works, but working isn't production-ready. This module transforms your agent from a demo into a production system. You'll write instructions…
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Your agent in Snowflake Intelligence7m 10s
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Creating logic flow using orchestration instructions, part 15m 40s
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Creating logic flow using orchestration instructions, part 27m 7s
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Understanding agent monitoring4m 45s
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Monitoring your agent in Snowflake10m 41s
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Iterating based on monitoring insights9m 14s
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Understanding MCP4m 12s
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Creating Snowflake MCP server and use Cursor7m 42s
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Module 3: Summary and next steps4m 43s
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