diff --git a/TODO b/TODO
index 451bd3b..62ade08 100644
--- a/TODO
+++ b/TODO
@@ -5,9 +5,6 @@
             START FORM SCRATCH for prod so all images have face_locn data
         - need to reconsider whether current distance algorithm gives best match - can I do better?
 
-    * could look to remove the hand fixing of json.loads of array data --> seems you can make your own datatype in the ORM, and it can do the conversion every time you use it
-        - https://stackoverflow.com/questions/28143557/sqlalchemy-convert-column-value-back-and-forth-between-internal-and-database-fo
-
     * per file you could select an unknown face and add it as a ref img to an existing person, or make a new person and attach?
     * from menu, we could try to get smart/fancy... say find face with largest size, check it vs. other faces, if it matches more than say 10? we offer it up as a required ref img, then cut that face (with margin) out and use it is a new ref image / person
         - read that guys face matching / clustering / nearest neighbour examples, for a whole new AI capability