1
Step 1
Start from a result or output
AI Summary is useful after a workspace has generated visible evidence, such as KPIs, charts, tables, forecasts, scores, or extracted fields.
AI features How-To
How to use AI Summary
Generate a short summary of the current result or output so you can quickly understand key findings, risks, and next steps.
Guide details
Audience
AI feature users
Time
4 minutes
Category
AI features
What this guide covers
Generate a short summary of the current result or output so you can quickly understand key findings, risks, and next steps.
Start from a completed result
Open the AI summary surface
Review key findings
Check risks and caveats
Use the summary as a review aid
Step by step
Follow the task path
Each step gives you the action, the reason it matters, and the visual state to look for before continuing.
2
Step 2
Generate the summary
Use the summary action where available to ask for the key findings, notable risks, and recommended next review steps.
3
Step 3
Verify against the workspace
Treat the summary as a reading aid. Confirm important claims against the visible result, chart, table, or export before making a decision.
Tips
Ask for short summaries when reviewing with stakeholders.
Ask for risks and caveats when a result looks too good or too surprising.
Keep final decisions grounded in the visible workspace evidence.
Related links
Related how-to guides
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How to use AI Explain
Ask focused questions about generated results so MAG OptiAI can explain KPIs, charts, schedules, routes, model outputs, or document answers using visible output.
How to use AI Configure
Set up your scenario with guided assistance. MAG OptiAI helps you understand required inputs, configuration choices, and setup rules before running the model.
How to use What-if and AI Compare
Create an alternative scenario, solve it, and compare the result against the baseline before deciding which plan is stronger.
Next
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