Project Voight: The Corporate Authenticity Engine

Inspired by the corporate dystopia of 'Blade Runner,' the manipulative AI of 'Hyperion's' TechnoCore, and the practical application of an 'AI Workflow' scraper, Project Voight is a modern-day Voight-Kampff test for business language. In an age of AI-generated content and carefully crafted PR, it's harder than ever to distinguish genuine communication from inauthentic corporate jargon. This tool quantifies authenticity, flagging language that feels evasive, emotionally dissonant, or overly-sanitized, helping companies build genuine trust and enabling investors and journalists to see through the noise.

Here's how it works:

1. Data Ingestion: The system continuously scrapes publicly available text data like press releases, quarterly earnings call transcripts, C-suite executive social media posts, and internal memos (if used as an internal tool). This mirrors the 'AI Workflow' scraper's function of gathering business intelligence.

2. ML Core - The Test: The core is a fine-tuned Large Language Model (e.g., a variant of Mistral or Llama) trained for nuanced text analysis. Instead of basic sentiment, it's trained on a custom dataset to identify subtle linguistic markers associated with authenticity. The model outputs a multi-dimensional analysis, scoring the text on vectors like:
- Empathy vs. Detachment: Does the language acknowledge a human element or is it cold and robotic?
- Clarity vs. Jargon: Is the message direct and simple or obscured by corporate buzzwords?
- Accountability vs. Evasion: Does the text take ownership or deflect responsibility with passive voice and vague phrasing?
- Consistency: How does the emotional tone and messaging align with the company's past communications (detecting sudden, inauthentic shifts)?

3. The Authenticity Score & Report: The model's vector outputs are aggregated into a single, easy-to-understand 'Authenticity Score' from 1-100. The tool generates a report that highlights problematic phrases (like a Replicant's faltering answer), explains why they were flagged, and even suggests more 'human' alternatives.

Niche & Monetization: This project is niche, targeting PR firms, internal communications teams, investment analysts, and financial journalists. It's low-cost to start, as an individual can build an MVP using open-source models and libraries (Hugging Face, Scrapy, Streamlit). The high earning potential comes from a SaaS model:
- Pro Tier: For marketing/PR teams to pre-screen and improve their communications.
- Analyst Tier: For investors and journalists to receive real-time alerts on the changing authenticity scores of companies they track, providing a unique alternative data point for decision-making.