diff --git a/app/jobs/regular/generate_inferred_concepts.rb b/app/jobs/regular/generate_inferred_concepts.rb
index f570e8ea..06b0a750 100644
--- a/app/jobs/regular/generate_inferred_concepts.rb
+++ b/app/jobs/regular/generate_inferred_concepts.rb
@@ -14,7 +14,7 @@ module Jobs
     def execute(args = {})
       return if args[:item_ids].blank? || args[:item_type].blank?
 
-      unless %w[topics posts].include?(args[:item_type])
+      if %w[topics posts].exclude?(args[:item_type])
         Rails.logger.error("Invalid item_type for GenerateInferredConcepts: #{args[:item_type]}")
         return
       end
diff --git a/lib/personas/concept_matcher.rb b/lib/personas/concept_matcher.rb
index bea17e09..5099196b 100644
--- a/lib/personas/concept_matcher.rb
+++ b/lib/personas/concept_matcher.rb
@@ -8,7 +8,6 @@ module DiscourseAi
           You are an advanced concept matching system that determines which concepts from a provided list are relevant to a piece of content.
           Your job is to analyze the content and determine which concepts from the list apply to it.
 
-          #{concepts_text}
           Guidelines for matching concepts:
           - Only select concepts that are clearly relevant to the content
           - The content must substantially discuss or relate to the concept
@@ -20,7 +19,6 @@ module DiscourseAi
           - If no concepts from the list match the content, return an empty array
 
           The list of available concepts is:
-
           {inferred_concepts}
 
           Format your response as a JSON object with a single key named "matching_concepts", which has an array of concept strings from the provided list.