The AI Trust Tax
AI hallucinations aren't just a bug, they're a liability. When top law firms get it wrong, it's a signal. Here's the infrastructure to fix it.
⚡ The Signal
When an elite law firm like Sullivan & Cromwell has to publicly apologize to a federal judge for "AI hallucinations" in a court filing, it’s no longer a niche tech problem. It’s a bright, flashing signal that the adoption of AI in high-stakes professional services has hit a wall of trust. The race for AI-driven productivity is creating a new, unmanaged risk.
🚧 The Problem
Generative AI is a brilliant intern: fast, creative, and occasionally makes things up. For a social media post, that's fine. For a legal brief, M&A due diligence, or a financial audit, it's a critical failure. The core problem is that the cost of a single AI hallucination can erase weeks of productivity gains. This "trust deficit" forces professionals into a slow, manual fact-checking process, completely defeating the purpose of using AI in the first place.
🚀 The Solution
Enter Korekt. We're not building another generative AI. We're building the brakes. Korekt is a real-time, source-backed verification layer that integrates directly into a professional's workflow. It’s a hallucination shield that fact-checks every factual claim an AI generates—be it a legal citation, a financial figure, or a market statistic—against trusted, primary sources. Use any LLM you want; Korekt ensures you can use it with confidence.
🎧 Audio Edition
Listen to Ada and Charles discuss today's business idea.
If you're reading this in your email, you may need to open the post in a browser to see the audio player.
💰 The Business Case
Revenue Model
Korekt will operate on a three-tiered SaaS model. A Pro Seat subscription for individual lawyers, analysts, and consultants. A Business Tier for teams, which adds a central dashboard for compliance and audit trails. Finally, an Enterprise API with usage-based pricing for firms that want to embed our verification engine into their own proprietary AI tools.
Go-To-Market
We'll start with a "freemium" GTM motion to build a user base and establish credibility. This includes a Hallucination Grader, a free web tool to analyze pasted text and generate a one-time verification report. We will also release a targeted open-source library for validating specific data types, like legal case citations, to drive bottom-up adoption from technical teams. Finally, a programmatic SEO play—the "Hallucination Index"—will document AI errors to attract high-intent organic traffic.
⚔️ The Moat
The competitive landscape includes incumbent data providers like Thomson Reuters and LexisNexis, who are building their own walled-garden AI tools. Korekt’s advantage is its neutrality and focus. We are not a new AI; we are an essential safety layer for all AIs. Our moat is workflow lock-in. By integrating via API and a simple browser extension, our tool becomes an indispensable part of the drafting and research process. The risk of removing it creates immediate switching costs.
⏳ Why Now
The hype cycle is over and the reality of enterprise AI is setting in. The recent, high-profile snafu at Sullivan & Cromwell wasn't a fringe event; it was a public demonstration of a systemic problem. Major outlets, from the Financial Times to The New York Times, covered the story, signaling that the market is now acutely aware of the risks. As Bloomberg Opinion noted, this single incident has begun to shred the AI productivity hype, creating a clear and urgent demand for a dedicated trust and verification solution.
🛠️ Builder's Corner
This is just one way to build it, but here’s a recommended MVP stack. The core would be a Python backend using FastAPI for its speed and simplicity in creating the API service. This service would orchestrate calls to trusted third-party data sources (e.g., Westlaw, Bloomberg APIs). For public web sources, libraries like BeautifulSoup are perfect for targeted scraping, while Pandas can structure the retrieved data for comparison. The user-facing component could be a lightweight browser extension built with the Plasmo Framework, which simplifies development for cross-browser React-based extensions. All data on usage and verification history can be stored in a reliable PostgreSQL database.
Legal Disclaimer: GammaVibe is provided for inspiration only. The ideas and names suggested have not been vetted for viability, legality, or intellectual property infringement (including patents and trademarks). This is not financial or legal advice. Always perform your own due diligence and clearance searches before executing on any concept.
