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LinkedIn AI Comment Copilot
AI-Powered Chrome Extension for Intelligent LinkedIn Engagement
Generate context-aware, human-like LinkedIn comments in real time using a LangGraph multi-agent workflow with Groq Llama 3.3 and Gemini fallback.
LinkedIn AI Comment Copilot is a full-stack application consisting of a Chrome Extension and a FastAPI backend that work together to analyze LinkedIn posts and generate high-quality, context-aware comments. The system uses a LangGraph multi-agent workflow with four specialized agents — each powered by the optimal LLM for its task — to ensure every comment is relevant, professional, and human-sounding.
Key highlights:
No database required
No user authentication
No data storage — everything runs in real time
ChatLiteLLMRouter for automatic model fallback (Groq primary, Gemini fallback)
LangSmith observability for full trace visibility
Multiple comment tones to match your style
Comment card with Copy, Insert, and Dismiss actions
One-click deploy to Render
Demo
Click the image above to watch the demo on YouTube
Features
Feature
Description
Post Detection
Automatically detects all visible LinkedIn posts using action-bar-first strategy
AI Comment Button
Injects exactly one "Generate AI Comment" button per post (no duplicates)
Comment Card
Displays generated comment in a prominent card with Copy, Insert, and Dismiss buttons
Insert to LinkedIn
Automatically opens LinkedIn's comment box and fills it with the generated comment
Each agent uses the optimal LLM — Groq Llama 3.3 70B primary, Gemini 2.5 Flash fallback via ChatLiteLLMRouter
LangSmith Observability
Full trace visibility for every request through the multi-agent pipeline
One-Click Copy
Copy generated comments to clipboard instantly
Regenerate
Generate alternative variations with a single click
Quality Review
Built-in reviewer agent scores and approves comments before delivery
LLM Cost Tracking
Built-in cost measurement — test single-call cost via /test-cost endpoint
Architecture
System Flow
graph TD
A[LinkedIn Page] -->|Detects Posts| B[Chrome Extension]
B -->|Extracts Content| C[Content Script]
C -->|"Click 'Generate AI Comment'"| D[Background Service Worker]
D -->|"POST /generate-comment"| E[FastAPI Backend]
E -->|Configures| LS[LangSmith Tracing]
E -->|Invokes| F[LangGraph Workflow]
F --> G["1. Analyzer Agent<br/><i>Groq Llama 3.3 70B</i><br/><small>Gemini fallback</small>"]
G -->|post_type, category, sentiment| H["2. Planner Agent<br/><i>Groq Llama 3.3 70B</i><br/><small>Gemini fallback</small>"]
H -->|strategy| I["3. Writer Agent<br/><i>Groq Llama 3.3 70B</i><br/><small>Gemini fallback</small>"]
I -->|generated_comment| J["4. Reviewer Agent<br/><i>Groq Llama 3.3 70B</i><br/><small>Gemini fallback</small>"]
J -->|Approved| K[Return Comment]
J -->|Rejected| I
K --> E
E -->|Response| D
D -->|Broadcast| L[Comment Card]
L -->|Copy / Insert| M[User Action]
style A fill:#0A66C2,color:#fff
style F fill:#FF6B35,color:#fff
style G fill:#F55036,color:#fff
style H fill:#F55036,color:#fff
style I fill:#F55036,color:#fff
style J fill:#F55036,color:#fff
style LS fill:#6C47FF,color:#fff
Message Flow (Extension)
sequenceDiagram
participant User as LinkedIn User
participant CS as Content Script
participant BG as Background Worker
participant API as FastAPI Backend
participant Card as Comment Card
User->>CS: Click "Generate AI Comment"
CS->>CS: Extract post content
CS->>BG: sendMessage(GENERATE_COMMENT)
BG->>API: POST /generate-comment
API-->>BG: {comment: "..."}
BG->>BG: Persist to chrome.storage.local
BG-->>CS: {success: true, comment}
CS->>Card: showCommentNotification(comment)
Card-->>User: Display comment card with Copy/Insert
User->>Card: Click "Insert Comment"
Card->>CS: insertCommentIntoLinkedIn(comment)
CS->>CS: Poll for comment box, insert text
