Add detailed logging for AI tagging progress

- Log each project being processed with timing
- Log progress every 10 projects with time estimates
- Log final completion stats

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

src/server/services/ai-tagging.ts

@@ -503,23 +503,44 @@ export async function batchTagProjects(
   let failed = 0
   const errors: string[] = []
 
+  console.log(`[AI Tagging] Starting batch processing of ${untaggedProjects.length} projects in round...`)
+  const startTime = Date.now()
+
   for (let i = 0; i < untaggedProjects.length; i++) {
     const project = untaggedProjects[i]
+    const projectStartTime = Date.now()
+    console.log(`[AI Tagging] Processing project ${i + 1}/${untaggedProjects.length}: "${project.title.substring(0, 50)}..."`)
+
     try {
       const result = await tagProject(project.id, userId)
       results.push(result)
       processed++
+      const elapsed = ((Date.now() - projectStartTime) / 1000).toFixed(1)
+      console.log(`[AI Tagging] ✓ Tagged "${project.title.substring(0, 30)}..." with ${result.applied.length} tags (${elapsed}s)`)
     } catch (error) {
       failed++
-      errors.push(`${project.title}: ${error instanceof Error ? error.message : 'Unknown error'}`)
+      const errorMsg = error instanceof Error ? error.message : 'Unknown error'
+      errors.push(`${project.title}: ${errorMsg}`)
+      console.error(`[AI Tagging] ✗ Failed "${project.title.substring(0, 30)}...": ${errorMsg}`)
     }
 
     // Report progress
     if (onProgress) {
       onProgress(i + 1, untaggedProjects.length)
     }
+
+    // Log progress every 10 projects
+    if ((i + 1) % 10 === 0) {
+      const elapsed = ((Date.now() - startTime) / 1000).toFixed(0)
+      const avgTime = (Date.now() - startTime) / (i + 1) / 1000
+      const remaining = avgTime * (untaggedProjects.length - i - 1)
+      console.log(`[AI Tagging] Progress: ${i + 1}/${untaggedProjects.length} (${elapsed}s elapsed, ~${remaining.toFixed(0)}s remaining)`)
+    }
   }
 
+  const totalTime = ((Date.now() - startTime) / 1000).toFixed(1)
+  console.log(`[AI Tagging] Batch complete: ${processed} tagged, ${failed} failed, ${alreadyTaggedCount} skipped in ${totalTime}s`)
+
   return {
     processed,
     failed,
@@ -586,23 +607,44 @@ export async function batchTagProgramProjects(
   let failed = 0
   const errors: string[] = []
 
+  console.log(`[AI Tagging] Starting batch processing of ${untaggedProjects.length} projects...`)
+  const startTime = Date.now()
+
   for (let i = 0; i < untaggedProjects.length; i++) {
     const project = untaggedProjects[i]
+    const projectStartTime = Date.now()
+    console.log(`[AI Tagging] Processing project ${i + 1}/${untaggedProjects.length}: "${project.title.substring(0, 50)}..."`)
+
     try {
       const result = await tagProject(project.id, userId)
       results.push(result)
       processed++
+      const elapsed = ((Date.now() - projectStartTime) / 1000).toFixed(1)
+      console.log(`[AI Tagging] ✓ Tagged "${project.title.substring(0, 30)}..." with ${result.applied.length} tags (${elapsed}s)`)
     } catch (error) {
       failed++
-      errors.push(`${project.title}: ${error instanceof Error ? error.message : 'Unknown error'}`)
+      const errorMsg = error instanceof Error ? error.message : 'Unknown error'
+      errors.push(`${project.title}: ${errorMsg}`)
+      console.error(`[AI Tagging] ✗ Failed "${project.title.substring(0, 30)}...": ${errorMsg}`)
     }
 
     // Report progress
     if (onProgress) {
       onProgress(i + 1, untaggedProjects.length)
     }
+
+    // Log progress every 10 projects
+    if ((i + 1) % 10 === 0) {
+      const elapsed = ((Date.now() - startTime) / 1000).toFixed(0)
+      const avgTime = (Date.now() - startTime) / (i + 1) / 1000
+      const remaining = avgTime * (untaggedProjects.length - i - 1)
+      console.log(`[AI Tagging] Progress: ${i + 1}/${untaggedProjects.length} (${elapsed}s elapsed, ~${remaining.toFixed(0)}s remaining)`)
+    }
   }
 
+  const totalTime = ((Date.now() - startTime) / 1000).toFixed(1)
+  console.log(`[AI Tagging] Batch complete: ${processed} tagged, ${failed} failed, ${alreadyTaggedCount} skipped in ${totalTime}s`)
+
   return {
     processed,
     failed,