In the Reports tab, Filmustage surfaces AI-generated suggestions for tags that likely refer to the same person, location, or object — for example EMMA LIU and EMMA. You can merge each pair into one tag or dismiss the suggestion.
When suggestions appear
Filmustage generates suggestions automatically at the end of AI script breakdown. The Suggestions panel appears under the category header in the Reports tab when at least one pending suggestion exists for that category.
Note: Suggestions are produced only during AI breakdown — manual breakdowns do not generate them. No Dude Coins are spent on this feature.
Supported categories
Filmustage generates merge suggestions for these tag categories:
CAST, STUNT PERFORMERS, STAND-INS — character deduplication
SET — location deduplication and sublocation detection
PROPS — prop deduplication
EXTRAS — extras deduplication
COSTUMES — costume deduplication
VEHICLES — vehicle deduplication
Other categories (Special Effects, Makeup, Set Dressing, and so on) do not surface suggestions.
What each suggestion shows
Each suggestion card has three columns:
Left column — the alias tag (the variant Filmustage suggests merging away). Shows the tag name, scene count, and the first three scene slug lines. Select +N more to expand the full scene list. Hover the scene count to see clickable links to each scene in the Script tab.
Center column — the match confidence and reason. The confidence bar is colored: 🟢 green for high confidence (≥ 90%), 🟠 orange for medium (70–89%), 🔴 red for lower (50–69%). The reason text explains why Filmustage thinks the tags refer to the same entity.
Right column — the primary tag (the one Filmustage suggests keeping). Same layout as the left column.
To collapse the panel, select the chevron next to Suggestions (N).
Merge a suggestion
Procedure
Go to app.filmustage.com, and then open your project.
On the ribbon, go to the Reports tab.
Select the category that contains a Suggestions panel.
In a suggestion card, select Merge.
In the Merge Tags dialog, select the primary tag name you want to keep.
Select Merge to confirm.
Filmustage merges the two tags across all scenes in the script and removes the suggestion from the panel.
Note: Merging through a suggestion uses the same flow as the standard Merge tags operation in the Reports tab — both apply the merge across all scenes.
Set a location as a sublocation
For SET tags, Filmustage may detect that one location is a room or area inside another (for example, LIVING ROOM inside HOUSE). In that case, the merge button is replaced with Set Sublocation.
Procedure
In the SET Suggestions panel, find a card with Set Sublocation instead of Merge.
Select Set Sublocation.
Filmustage records the parent–child relationship between the two locations. The tags stay separate but Filmustage links them so the child shows as inside the parent.
Ignore a suggestion
If a suggestion is wrong — for example, two unrelated characters who happen to share a first name — dismiss it:
In the suggestion card, select Ignore.
Filmustage permanently dismisses the suggestion. The tags stay separate, and the same pair does not appear again in future breakdown passes.
Caution: You cannot restore an ignored suggestion. If you change your mind later, merge the tags manually using Merge tags.
How it works
Filmustage analyzes character, location, and entity names from the breakdown and looks for variants that likely refer to the same thing — abbreviations, short names, typos, titles stripped from names, synonyms, and AI-detected matches.
Each candidate pair gets a confidence score that determines what happens:
≥ 85% and no scene overlap — Filmustage merges the tags automatically during breakdown. No suggestion appears.
50–84% — Filmustage shows the pair as a suggestion for you to review.
Below 50% — Filmustage discards the match.
When two tags appear together in the same scene, Filmustage lowers confidence because the same scene rarely contains two different names for the same person. A few rules — for example, age-based variants like BURKE (30's) and BURKE — skip this penalty because the pair is expected to co-occur.
The tag with more scene appearances becomes the suggested primary. If both tags appear in the same number of scenes, the longer name wins as primary.