Update aiEngine.js

aiEngine.js

@@ -95,12 +95,14 @@ export const AIEngine = {
   },
 
   /**
-   * 3. ONBOARDING ANALYST (Question Generation)
-   * Returns STRICT JSON for the Frontend
+   * 3. ONBOARDING ANALYST (Question Generation + Gatekeeping)
+   * Returns STRICT JSON for the Frontend.
+   * Can return { status: "REJECTED", ... } or { status: "ACCEPTED", questions: ... }
    */
   generateEntryQuestions: async (description) => {
-    const modelId = 'gemini-2.5-flash';
-    const input = `[MODE 1: QUESTIONS]\nAnalyze this game idea: "${description}".\nGenerate 3 crucial technical questions to clarify scope. Output ONLY raw JSON array.`;
+    const modelId = 'gemini-2.5-pro';
+    // Updated prompt to enforce Gatekeeping (TOS/Nonsense check)
+    const input = `[MODE 1: QUESTIONS]\nAnalyze this game idea: "${description}". Check for TOS violations or nonsense. If good, ask 3 questions. Output ONLY raw JSON.`;
     
     try {
       const response = await genAI.models.generateContent({
@@ -117,17 +119,18 @@ export const AIEngine = {
     } catch (e) {
       console.error("Analyst Error:", e);
       // Fallback to prevent frontend crash
-      return [{ id: "fallback", label: "Please describe the core gameplay loop in detail.", type: "textarea" }];
+      return { status: "ACCEPTED", questions: [{ id: "fallback", label: "Please describe the core gameplay loop in detail.", type: "textarea" }] };
     }
   },
 
   /**
-   * 4. PROJECT GRADER (Feasibility Check)
+   * 4. PROJECT GRADER (Feasibility Check + Title)
    * Returns STRICT JSON
    */
   gradeProject: async (description, answers) => {
-    const modelId = 'gemini-2.5-flash';
-    const input = `[MODE 2: GRADING]\nIdea: "${description}"\nUser Answers: ${JSON.stringify(answers)}\n\nAssess feasibility for an AI Builder. Output ONLY raw JSON.`;
+    const modelId = 'gemini-2.5-pro';
+    // Updated prompt to ask for Title and Rating
+    const input = `[MODE 2: GRADING]\nIdea: "${description}"\nUser Answers: ${JSON.stringify(answers)}\n\nAssess feasibility. Output JSON with title and rating.`;
 
     try {
       const response = await genAI.models.generateContent({
@@ -141,7 +144,7 @@ export const AIEngine = {
       return JSON.parse(response.text);
     } catch (e) {
       console.error("Grading Error:", e);
-      return { feasibility: 80, rating: "B", summary: "Standard project structure detected." };
+      return { feasibility: 80, rating: "B", title: "Untitled Project", summary: "Standard project structure detected." };
     }
   },