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Agent quality: improved from 3.25 to 4.4 with evals

Screenshot: Agent quality: improved from 3.25 to 4.4 with evals

What it does

Use Grok's evals system to improve your AI agent's judgment. Create test scenarios from real data, run your agent against them, train a grader AI to match your standards, then let the agent hill climb to improve its scores.

Why it is worth it

Evals let you improve agents through instruction changes instead of coding. This works for non-engineers and catches mistakes like misidentifying unqualified leads as qualified.

Related use cases

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Screenshot: Support queue incidents: cleared 204 tickets in 10 minutes
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Support queue incidents: cleared 204 tickets in 10 minutes

Automatically spot incidents in your support queue and respond to all related tickets. Grok drafts and submits responses in bulk, with one engineer approval clearing hundreds of tickets in minutes.

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Screenshot: Sketch to production: Grok generates diagrams and manufacturer RFQs
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Sketch to production: Grok generates diagrams and manufacturer RFQs

Upload sketches or 3D models to Grok, which generates technical manufacturing diagrams automatically. Then use Grok to draft RFQs and communicate design requirements directly to manufacturers. This skips traditional CAD expertise and speeds up prototyping.

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Result

Turned every product mention on X into a tracked fix for a coding agent.

WorkOct 7

Bug reports lost in the timeline: mentions turned into tracked fixes

Grok reads every mention of your product, files feature requests in the tracker and hands bug reports to a Cursor agent that starts on the fix.

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