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Usage

Tag Consolidation - ONA.UNO Docs

Merge near-duplicate AI tags safely using the Consolidate AI Tags workflow

Why tags drift — and how to fix it

When ONA.UNO generates tags across thousands of items, the AI sometimes uses slightly different phrasing for the same concept: budgeting and budget-planning and budget plan might all appear as separate tags even though they mean the same thing. Over time, these near-duplicates accumulate and make tag-based filtering less useful.

Tag Consolidation lets you clean this up. ONA.UNO analyzes your tags, finds clusters of near-duplicates, and proposes merges — but nothing changes until you review and approve.

How to run it

Open AI → Consolidate AI Tags… to start the analysis. ONA.UNO will scan the tags across your current Set and active sources, show you a progress indicator and a running cost counter, and then present a mapping table of suggested merges.

The analysis is scoped to what you’re currently looking at — your active Set and active sources. If you switch Sets or change which sources are active after running the analysis, ONA.UNO will ask you to re-run it so the suggestions stay accurate.

Reviewing the suggestions

The mapping table shows each group of near-duplicate tags and which canonical tag ONA.UNO recommends merging them into. You’re in full control here: check the rows you agree with, uncheck the ones you don’t, and adjust the target tag if you prefer a different name.

If you select rows that conflict — for example, two entries that would map the same tag to different targets — ONA.UNO flags the conflict and asks you to resolve it before applying.

Applying changes safely

Before applying any tag replacements, ONA.UNO creates an automatic backup of your current tag state. If you later change your mind or want to inspect what things looked like before, you can restore from that backup.

Only AI-generated tags are rewritten during consolidation. Any tags you’ve added manually are left untouched.

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