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When you first upload your data to Caplena, the AI takes a smart first stab at organizing it. It identifies common themes, assigns topics, and gives structure to your open-ended feedback. AI training is where you come in — it’s your chance to teach the AI to think like your team, understand your brand’s voice, and reflect what actually matters to your business. Think of it as a collaboration: the AI does the heavy lifting, and you guide it with your unique context.

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Where Does AI Training Happen?

You’ll train the AI directly inside your active project. Here’s how to get started:
1

Open your project

Navigate to your project in Caplena.
2

Click Topics

Select Topics in the left-hand menu.
3

Review responses

Go through individual responses and confirm or correct the AI’s topic assignments.
AI training view

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Reviewing a Row

Reviewing means clicking into a specific row and either confirming or adjusting the topics the AI applied.

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How to Review

You can either:
  • Click on a row to open the detailed view
  • Or turn on Focus Mode (more on this below)
Once in the row, you can:
  • Add or remove topics
  • Adjust sentiment (if needed)
  • Mark the row as reviewed ✅
Reviewed rows become learning examples for the AI — the more you review, the better it gets.

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Focus Mode: Smart Reviewing

Focus Mode brings the most uncertain rows to the front — the ones where the AI is unsure and your input matters most.
Focus Mode in action

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What Focus Mode Does

  • Sorts rows by lowest confidence
  • Hides already-reviewed data
  • Removes visual clutter so you can concentrate
To activate: click the Focus Mode icon in the top right corner of the fine-tuning view.
Example: If you’re training your AI on a telecom survey, Focus Mode might prioritize ambiguous responses like “Reception could be better” — prompting you to clarify whether this refers to network coverage or device quality.

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Finalize and Refine Your Topic Collection

As part of the review process, it’s a good time to put the finishing touches on your topic structure. You can:
  • Rename topics to be clearer or more consistent (e.g., “App Usability” → “Mobile Experience”)
  • Merge redundant topics like “Delivery” and “Shipping”
  • Add entirely new categories if needed
Every change in the Topic Editor prompts the AI to retrain — your topic structure directly influences how well the model performs.
Last modified on May 22, 2026