fix(image-service): resolve next.js build crash and strict TS lint warnings for ci deploy

packages/journaling/src/agent.ts

@@ -1,7 +1,7 @@
 import OpenAI from "openai";
 import { DataCommonsClient } from "./clients/data-commons";
 import { TrendsClient } from "./clients/trends";
-import { SerperClient, type SerperVideoResult } from "./clients/serper";
+import { SerperClient } from "./clients/serper";
 
 export interface Fact {
   statement: string;
@@ -54,7 +54,6 @@ export class ResearchAgent {
         if (data.length > 0) {
           // Analyze trend
           const latest = data[data.length - 1];
-          const max = Math.max(...data.map((d) => d.value));
           facts.push({
             statement: `Interest in "${kw}" is currently at ${latest.value}% of peak popularity.`,
             source: "Google Trends",
@@ -246,7 +245,7 @@ Return a JSON object with a single string field "query". Example: {"query": "cor
       const evalPrompt = `You are a strict technical evaluator. You must select the MOST RELEVANT educational tech video from the list below based on this core article context: "${topic.slice(0, 800)}..."
 
 Videos:
-${ytVideos.map((v, i) => `[ID: ${i}] Title: "${v.title}" | Channel: "${v.channel}" | Snippet: "${v.snippet || 'none'}"`).join("\n")}
+${ytVideos.map((v, i) => `[ID: ${i}] Title: "${v.title}" | Channel: "${v.channel}" | Snippet: "${v.snippet || "none"}"`).join("\n")}
 
 RULES:
 1. The video MUST be highly relevant to the EXACT technical topic of the context.
@@ -268,7 +267,7 @@ Return ONLY a JSON object: {"bestVideoId": number}`;
           evalResponse.choices[0].message.content || '{"bestVideoId": -1}',
         );
         bestIdx = evalParsed.bestVideoId;
-      } catch (e) {
+      } catch {
         console.warn("Failed to parse video evaluation response");
       }
 
@@ -343,7 +342,7 @@ CRITICAL: Do NOT provide more than 2 trendsKeywords. Keep it extremely focused.`
     try {
       let parsed = JSON.parse(
         response.choices[0].message.content ||
-        '{"trendsKeywords": [], "dcVariables": []}',
+          '{"trendsKeywords": [], "dcVariables": []}',
       );
       if (Array.isArray(parsed)) {
         parsed = parsed[0] || { trendsKeywords: [], dcVariables: [] };

packages/meme-generator/src/index.ts

@@ -123,7 +123,7 @@ IMPORTANT: Return ONLY the JSON object. No markdown wrappers.`,
     let result;
     try {
       result = JSON.parse(body);
-    } catch (e) {
+    } catch {
       console.error("Failed to parse AI response", body);
       return [];
     }