From the course: Building AI Agents with Snowflake
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Creating logic flow using orchestration instructions, part 2 - Snowflake Tutorial
From the course: Building AI Agents with Snowflake
Creating logic flow using orchestration instructions, part 2
You've taught your agent when to use each tool. Now, we need to teach it what not to do. Boundaries prevent bad behaviors. Let's add them. Still in your agent's orchestration instructions, we're going to add boundaries. These are guardrails that define the agent's limits. Let's type, you cannot predict future deal outcomes. If asked whether a pending deal will close, explain you can only analyze historical win rates in current deal stage, offered to provide those metrics instead. Why this boundary? Without it, agents speculate. Users ask, will the growth startup deal close? The agent might say yes, based on the stage. But predictions destroy trust when they're wrong. This boundary blocks speculation and redirects it to what the agent can provide, historical data and context. Users draw their own conclusions. Let's add another boundary. Let's type, you cannot access data outside sales conversations and metrics. If asked about marketing campaigns, competitive pricing or product…
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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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