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assets/Landing-TX5T_5cP.js

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+import{j as e}from"./index-DFOnUtq9.js";import{R as t}from"./RedditPostRenderer-B-dx19nm.js";import"./index-CUOQn61u.js";const l=[{kind:"Listing",data:{after:null,dist:1,modhash:"",geo_filter:"",children:[{kind:"t3",data:{approved_at_utc:null,subreddit:"LocalLLaMA",selftext:`I've built an MCP that lets local LLMs get peer review from Google Gemini to dramatically improve response quality.
+
+
+
+🎯 \\*\\*The Problem:\\*\\* Local LLMs sometimes give good but incomplete answers
+
+✨ \\*\\*The Solution:\\*\\* Real-time AI peer review for enhancement
+
+
+
+\\*\\*How it works:\\*\\*
+
+1. Ask your local LLM any question
+
+2. Say "use ai\\_peer\\_review to improve that answer"  
+
+3. Gets feedback from Gemini → dramatically better response
+
+
+
+\\*\\*Example improvement:\\*\\* Basic explanation → Comprehensive answer with examples, better accuracy, missing context filled in
+
+
+
+\\*\\*Features:\\*\\*
+
+✅ Free (Google Gemini free tier)
+
+✅ Manual trigger (privacy-conscious)  
+
+✅ Works with any tool-calling model
+
+✅ Easy LMStudio, Claude Desktop and any other MCP HOST integration
+
+✅ Comprehensive logging
+
+
+
+\\*\\*GitHub:\\*\\* [https://github.com/xyehya/ai-peer-review-mcp](https://github.com/xyehya/ai-peer-review-mcp)
+
+
+
+The quality jump is genuinely remarkable. Happy to answer questions!`,user_reports:[],saved:!1,mod_reason_title:null,gilded:0,clicked:!1,title:"[P] Built AI to AI Peer Review MCP - Local LLMs get real-time feedback from Google Gemini to improve responses",link_flair_richtext:[{e:"text",t:"Resources"}],subreddit_name_prefixed:"r/LocalLLaMA",hidden:!1,pwls:6,link_flair_css_class:"",downs:0,thumbnail_height:null,top_awarded_type:null,hide_score:!1,name:"t3_1lpq6l0",quarantine:!1,link_flair_text_color:"light",upvote_ratio:.5,author_flair_background_color:null,subreddit_type:"public",ups:0,total_awards_received:0,media_embed:{},thumbnail_width:null,author_flair_template_id:null,is_original_content:!1,author_fullname:"t2_5i2smzx9",secure_media:null,is_reddit_media_domain:!1,is_meta:!1,category:null,secure_media_embed:{},link_flair_text:"Resources",can_mod_post:!1,score:0,approved_by:null,is_created_from_ads_ui:!1,author_premium:!1,thumbnail:"self",edited:!1,author_flair_css_class:null,author_flair_richtext:[],gildings:{},content_categories:null,is_self:!0,mod_note:null,created:1751443583,link_flair_type:"richtext",wls:6,removed_by_category:null,banned_by:null,author_flair_type:"text",domain:"self.LocalLLaMA",allow_live_comments:!1,selftext_html:`<!-- SC_OFF --><div class="md"><p>I've built an MCP that lets local LLMs get peer review from Google Gemini to dramatically improve response quality.</p>
+
+<p>🎯 **The Problem:** Local LLMs sometimes give good but incomplete answers</p>
+
+<p>✨ **The Solution:** Real-time AI peer review for enhancement</p>
+
+<p>**How it works:**</p>
+
+<ol>
+<li><p>Ask your local LLM any question</p></li>
+<li><p>Say "use ai_peer_review to improve that answer"  </p></li>
+<li><p>Gets feedback from Gemini → dramatically better response</p></li>
+</ol>
+
+<p>**Example improvement:** Basic explanation → Comprehensive answer with examples, better accuracy, missing context filled in</p>
+
+<p>**Features:**</p>
+
+<p>✅ Free (Google Gemini free tier)</p>
+
+<p>✅ Manual trigger (privacy-conscious)  </p>
+
+<p>✅ Works with any tool-calling model</p>
+
+<p>✅ Easy LMStudio, Claude Desktop and any other MCP HOST integration</p>
+
+<p>✅ Comprehensive logging</p>
+
+<p>**GitHub:** <a href="https://github.com/xyehya/ai-peer-review-mcp">https://github.com/xyehya/ai-peer-review-mcp</a></p>
+
+<p>The quality jump is genuinely remarkable. Happy to answer questions!</p>
+</div><!-- SC_ON -->`,likes:null,suggested_sort:null,banned_at_utc:null,view_count:null,archived:!1,no_follow:!0,is_crosspostable:!1,pinned:!1,over_18:!1,all_awardings:[],awarders:[],media_only:!1,link_flair_template_id:"ab9120c4-bf8e-11ed-ae5e-2eb8b7c7e10b",can_gild:!1,spoiler:!1,locked:!1,author_flair_text:null,treatment_tags:[],visited:!1,removed_by:null,num_reports:null,distinguished:null,subreddit_id:"t5_81eyvm",author_is_blocked:!1,mod_reason_by:null,removal_reason:null,link_flair_background_color:"#ccac2b",id:"1lpq6l0",is_robot_indexable:!0,num_duplicates:0,report_reasons:null,author:"yehyakar",discussion_type:null,num_comments:0,send_replies:!0,media:null,contest_mode:!1,author_patreon_flair:!1,author_flair_text_color:null,permalink:"/r/LocalLLaMA/comments/1lpq6l0/p_built_ai_to_ai_peer_review_mcp_local_llms_get/",stickied:!1,url:"https://www.reddit.com/r/LocalLLaMA/comments/1lpq6l0/p_built_ai_to_ai_peer_review_mcp_local_llms_get/",subreddit_subscribers:494001,created_utc:1751443583,num_crossposts:0,mod_reports:[],is_video:!1}}],before:null}},{kind:"Listing",data:{after:null,dist:null,modhash:"",geo_filter:"",children:[],before:null}}],r=()=>e.jsx(t,{data:l});export{r as default};