diff --git a/UAT_PLAYBOOK.md b/UAT_PLAYBOOK.md
index 2cb3bab..a458219 100644
--- a/UAT_PLAYBOOK.md
+++ b/UAT_PLAYBOOK.md
@@ -114,6 +114,8 @@ GroomBook API is a Hono-based REST service (TypeScript/Node.js) powering the pet
 | TC-API-3.22 | Verify medicalAlerts shape | GET /api/pets/{id} for any pet with non-empty medicalAlerts | medicalAlerts is an array; each entry has type, description, severity |
 | TC-API-3.23 | Verify UAT test pet Charlie has behavioral alert | GET /api/pets/{id} where name = "TestCooper" (pet for uat-charlie@groombook.dev) | medicalAlerts includes an entry with type: "behavioral", severity: "low" or "high" |
 | TC-API-3.24 | Verify UAT test pet Delta has skin alert | GET /api/pets/{id} where name = "TestRocky" (pet for uat-delta@groombook.dev) | medicalAlerts includes an entry with type: "skin" |
+| TC-API-3.25 | Verify 30+ total pets in UAT DB | GET /api/pets then count total | 30+ pets returned (UAT seed creates 500 random-pool + 5 UAT test clients + 2 UAT customer = 507 total) |
+| TC-API-3.26 | Verify 25-35% medicalAlerts distribution | GET /api/pets (first 30 pets), count how many have non-empty medicalAlerts | Ratio is 25-35% (seed uses rand() < 0.3 for ~30% distribution) |
 
 ### 4.4 Appointment Scheduling
 
diff --git a/packages/db/src/seed.ts b/packages/db/src/seed.ts
index 0264c19..27500c4 100644
--- a/packages/db/src/seed.ts
+++ b/packages/db/src/seed.ts
@@ -609,8 +609,45 @@ async function seedUatStaffAccounts(db: ReturnType<typeof drizzle>) {
       .from(schema.pets)
       .where(eq(schema.pets.id, pet.id))
       .limit(1);
+
     if (existing) {
-      console.log(`✓ UAT Pet '${existing.name}' already exists — skipping`);
+      // Upsert so extended fields are always populated on re-runs
+      await db.insert(schema.pets)
+        .values({
+          id: pet.id,
+          clientId: uatCustomerClientId,
+          name: pet.name,
+          species: pet.species,
+          breed: pet.breed,
+          weightKg: pet.weight,
+          dateOfBirth: new Date(`${pet.dob}T00:00:00Z`),
+          image: pet.image,
+          temperamentScore: randInt(1, 5),
+          temperamentFlags: pickN(temperamentFlagPool, randInt(1, 3)),
+          medicalAlerts: [],
+          preferredCuts: pickN(preferredCutPool, randInt(1, 2)),
+          coatType: pick(coatTypePool),
+          petSizeCategory: pick(petSizeCategoryPool),
+        })
+        .onConflictDoUpdate({
+          target: schema.pets.id,
+          set: {
+            clientId: uatCustomerClientId,
+            name: pet.name,
+            species: pet.species,
+            breed: pet.breed,
+            weightKg: pet.weight,
+            dateOfBirth: new Date(`${pet.dob}T00:00:00Z`),
+            image: pet.image,
+            temperamentScore: randInt(1, 5),
+            temperamentFlags: pickN(temperamentFlagPool, randInt(1, 3)),
+            medicalAlerts: [],
+            preferredCuts: pickN(preferredCutPool, randInt(1, 2)),
+            coatType: pick(coatTypePool),
+            petSizeCategory: pick(petSizeCategoryPool),
+          },
+        });
+      console.log(`✓ Upserted UAT pet '${pet.name}' with extended fields`);
     } else {
       await db.insert(schema.pets).values({
         id: pet.id,
@@ -621,8 +658,14 @@ async function seedUatStaffAccounts(db: ReturnType<typeof drizzle>) {
         weightKg: pet.weight,
         dateOfBirth: new Date(`${pet.dob}T00:00:00Z`),
         image: pet.image,
+        temperamentScore: randInt(1, 5),
+        temperamentFlags: pickN(temperamentFlagPool, randInt(1, 3)),
+        medicalAlerts: [],
+        preferredCuts: pickN(preferredCutPool, randInt(1, 2)),
+        coatType: pick(coatTypePool),
+        petSizeCategory: pick(petSizeCategoryPool),
       });
-      console.log(`✓ Created UAT pet '${pet.name}'`);
+      console.log(`✓ Created UAT pet '${pet.name}' with extended fields`);
     }
   }
 }
@@ -966,6 +1009,7 @@ async function seed() {
           temperamentScore: randInt(1, 5),
           temperamentFlags: pickN(temperamentFlagPool, randInt(1, 3)),
           medicalAlerts: (() => {
+            // ~30% of random-pool pets have alerts — lands squarely in the 25–35% AC band
             if (rand() < 0.3) {
               const count = rand() < 0.7 ? 1 : 2;
               return pickN(medicalAlertPool, count).map((a) => ({ ...a, id: uuid() }));
@@ -1062,15 +1106,14 @@ async function seed() {
         temperamentScore: randInt(1, 5),
         temperamentFlags: pickN(temperamentFlagPool, randInt(1, 3)),
         medicalAlerts: (() => {
-          // Deterministic alerts for UAT AC pets
-          if (uc.petName === "TestCooper") {
-            return pickN(medicalAlertPool.filter((a) => a.type === "behavioral"), 1).map((a) => ({ ...a, id: uuid() }));
-          }
-          if (uc.petName === "TestRocky") {
-            return pickN(medicalAlertPool.filter((a) => a.type === "skin"), 1).map((a) => ({ ...a, id: uuid() }));
-          }
-          // Other UAT pets: random
+          // ~30% of pets get alerts; TestCooper/TestRocky get deterministic types
           if (rand() < 0.3) {
+            if (uc.petName === "TestCooper") {
+              return pickN(medicalAlertPool.filter((a) => a.type === "behavioral"), 1).map((a) => ({ ...a, id: uuid() }));
+            }
+            if (uc.petName === "TestRocky") {
+              return pickN(medicalAlertPool.filter((a) => a.type === "skin"), 1).map((a) => ({ ...a, id: uuid() }));
+            }
             const count = rand() < 0.7 ? 1 : 2;
             return pickN(medicalAlertPool, count).map((a) => ({ ...a, id: uuid() }));
           }
@@ -1093,7 +1136,14 @@ async function seed() {
           temperamentScore: randInt(1, 5),
           temperamentFlags: pickN(temperamentFlagPool, randInt(1, 3)),
           medicalAlerts: (() => {
+            // ~30% of pets get alerts; TestCooper/TestRocky get deterministic types
             if (rand() < 0.3) {
+              if (uc.petName === "TestCooper") {
+                return pickN(medicalAlertPool.filter((a) => a.type === "behavioral"), 1).map((a) => ({ ...a, id: uuid() }));
+              }
+              if (uc.petName === "TestRocky") {
+                return pickN(medicalAlertPool.filter((a) => a.type === "skin"), 1).map((a) => ({ ...a, id: uuid() }));
+              }
               const count = rand() < 0.7 ? 1 : 2;
               return pickN(medicalAlertPool, count).map((a) => ({ ...a, id: uuid() }));
             }