Executive Summary: An LLM product built cost-first and governance-first, then audited against its own claims. SignalCheck is a Chrome extension that combines domain reputation signals with LLM-powered AI detection to evaluate digital authenticity, built on Gemini 3.6 Flash and FastAPI. V2 shipped rate limiting, hashed identifiers, and per-request cost tracking; V2.2 documents what a structured review found when those controls were tested against what the documentation claimed they did.

Author: Meghal Donde | Role: AI Product Manager | Date: August 2026

Quick Links:

🚀 Live Extension | 💻 GitHub Repo | 📊 Live Admin Dashboard


1. The Core Problem

"Death of Digital Trust"

Users cannot distinguish between organic human content, AI-generated text, bot-farm campaigns, and malicious sites. Existing AI detectors analyze text in isolation, missing crucial context about where the content originates.


2. The Solution: SignalCheck

SignalCheck is a Chrome extension that provides instant trust verification by combining:

  1. Domain Reputation Analysis — Cross-references URLs against Google Safe Browsing API to detect malware, phishing, and malicious sites
  2. AI Content Detection — Uses Gemini 3.6 Flash to analyze text patterns and identify AI-generated content
  3. Combined Trust Score — Weighted algorithm that fuses both signals into a single 0-100 score

One click. Two signals. Instant trust verification.

signal-scan.png


3. The Differentiator

Dimension Legacy Tools (GPTZero, Copyleaks) SignalCheck
Analysis Scope Text heuristics only Dual-Layer: Domain Reputation + Text Analysis
Context Evaluates text in a vacuum Cross-references host domain against threat signals
Privacy Account required, data retained No accounts, 24-hour data purge, hashed IPs
Cost Model Subscription-based Free tier with transparent unit economics