How can I use Ambition agent's Inspect Work tab to check agent replies?

Last updated: July 20, 2026

You can use the Inspect Work tab to review how the Ambition agent calculated totals for its replies.

This article outlines how you can access the Inspect Work tab for any agent query and review the agent's logic and reasoning.

Accessing the Inspect Work tab

At the bottom of every agent's response, you'll see a menu with four icons. Click on the icon depicting a sheet of paper and a magnifying glass. This is the Inspect Work tab icon.

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After clicking on the tab, you'll see a dashboard similar to the screenshot below.

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How to read the Inspect Work tab

Usage

The Usage section outlines the following data points:

  • Credits -- How many AI credits were used to complete this query

  • Scanned Data Points -- How many data points were referenced in Ambition's data backend to complete the query

  • Time -- How long the agent needed to compute your query and formulate a reply

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At this time, Ambition is not charging for AI agent credits. Customers will be notified in advance when AI credit limits and costs will be imposed.

Searched items

The Searched items section outlines all users and groups that the AI agent referenced when generating its reply.

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In this example, the original query was "Tell me if Carson Suarez's team is on pace to hit their monthly goals for July."

The agent found two entities that included the name "Carson Suarez" -- Carson's individual employee account, and the Carson Suarez manager group.

The agent compared the two entities and determined that the query was asking about the Carson Suarez manager group.

Dates used

The Dates used section outlines every date range that was referenced in order to complete your query, including the Start Date and End Date.

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This query includes two Start and End Dates because the agent was confirming that the user was referencing this calendar month when they referenced "July." The agent also confirmed that July ranged from July 1, 2026 to July 31, 2026.

Data queried

The Data queried section outlines all of the performance and time data that the AI agent referenced to generate its reply.

Data queried can include:

  • Employee IDs, such as usernames or Salesforce IDs

  • Scorecard names and IDs

  • The names and unique identifiers for any goals referenced

  • Scorecard and goal targets

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