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Copy file name to clipboardExpand all lines: site/sigmaguides/src/partners_snowflake_builders_guide_to_sigma_ai_apps/partners_snowflake_builders_guide_to_sigma_ai_apps.md
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@@ -330,7 +330,6 @@ Under `Configure`, click the `+` next to `Data elements`.
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Connecting `PIPELINE_AGENT` here makes it available to your Sigma agent as a callable tool. Without this, all analysis stays inside Sigma — there's no path to Cortex's transcript search, semantic analytics, or scoring rubric.
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click the `+` next to `Data elements`.
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1. Click the `+` next to `Warehouse agents`.
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2. Choose `PIPELINE_AGENT` from `HOL_DB.AGENTS`:
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@@ -409,9 +408,7 @@ Required inputs:
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<imgsrc="assets/bga_10.png"width="800"/>
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4. Now let's add and configure an action to send an escalation email.
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Now click `+` next to `Step` and configure the action:
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4. Click `+` next to `Steps` and configure the action:
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| Field | Value |
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|---|---|
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- recommended_focus: 1-2 concrete areas for improvement. Be specific.
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```
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8. Click `+` next to `Step` and configure the `Send Coaching Email` action.
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Click `Add step` (`+`) and configure:
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8. Click `+` next to `Steps` and configure:
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| Field | Value |
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|---|---|
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15. Paste the following as the tool `Instructions`:
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```copy-code
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write call to escalation input table when user requests to write back
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Write call to qualification input table when user requests to write back
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```
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16. Click `+` next to `Steps` and configure:
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23. Paste the following as the tool `Instructions`:
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```copy-code
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Inserts row into escalation log table
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Insert row into escalation log table
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```
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24. Click `+` next to `Steps` and configure:
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## Phase 4: Test the Agent
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Duration: 10
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With the agent built and all three tools configured, this phase exercises every layer of the architecture in sequence — from delegating analysis to Cortex, to writing data back to your warehouse, to sending notifications, to controlling the dashboard from a single sentence.
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With the agent built and all six tools configured, this phase exercises every layer of the architecture in sequence — from delegating analysis to Cortex, to writing data back to your warehouse, to sending notifications, to controlling the dashboard from a single sentence.
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Before testing, make sure to `Publish` the workbook and `Go to published mode`.
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- A structured row appears.
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- This is Sigma acting on Cortex's reasoning.
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We can see the new row of data Cortex wrote on the `Data` page in the `Call Qualifications` table:
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We can see the new row of data Cortex wrote on the `Data` page in the `Call Qualification` table:
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<imgsrc="assets/bga_24.png"width="800"/>
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</aside>
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### Test 3: Compare Reps and Log Coaching
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Ask Cortex a followup question on the `Build` page:
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Enter the following in the Chat element:
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```copy-code
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Compare Alex Rivera's calls to Sarah Chen's. Who's more effective at identifying decision-makers and building urgency? Log a coaching observation for whichever rep needs more development.
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Check your inbox for the coaching email addressed to the rep with the observation details.
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<imgsrc="assets/bga_25.png"width="800"/>
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### Test 5: Spotlight an Account
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```copy-code
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|---|---|
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| Total Calls | Count of `Call ID`|
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| Avg Trust Score | Average of `Trust_Quadrant_Score`|
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<imgsrc="assets/bga_32.png"width="800"/>
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The sales pipeline context is the scaffold, not the constraint. The three action tools you built — email escalation, coaching alerts, and account spotlight — are reusable patterns. The write-then-notify sequence (agent writes data, tool sends email) applies anywhere decisions need to become actions: support ticket escalation, hiring recommendations, compliance flagging. What changes is the domain and the instructions; what stays the same is the architecture.
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The sales pipeline context is the scaffold, not the constraint. The six tools you built — three writeback tools, two email notifications, and one dashboard control — are reusable patterns. The write-then-notify sequence (agent writes data, tool sends email) applies anywhere decisions need to become actions: support ticket escalation, hiring recommendations, compliance flagging. What changes is the domain and the instructions; what stays the same is the architecture.
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That pattern holds across any domain where unstructured data needs to become a governed decision:
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