Vin Patel is an AI technologist and published author with 25+ years of experience. He is the creator of Manuscript (open-source AI content detection), AEORank (AI Engine Optimization), and the Bhagavad Gita App. His work has been archived by the British Library and cited by UKCERT.

AEORank is an open-source AI visibility platform that scans any website across 36 criteria, scores it from 0-100, and generates 9 deployment-ready files that improve discoverability by AI engines like ChatGPT, Perplexity, Claude, and Gemini. Includes a free CLI, dashboard at app.aeorank.dev, GitHub App, and 13 framework plugins. Visit aeorank.dev.

What is the Bhagavad Gita App?

A verse-by-verse platform at bhagavad.net presenting all 700 Gita verses through 8 philosophical traditions with multi-tradition synthesis, life applications across 4 pillars, and 5,600+ searchable life questions. Open source and MIT licensed.

Manuscript is the only open-source AI content detector that runs 100% on your infrastructure. It detects AI-generated text, images, audio, and video with zero external API calls. Built in Go, self-hosted via Docker. Visit manuscript.dev.

How can I work with Vin Patel?

Vin is available for speaking engagements, podcast interviews, and consulting on AI strategy. He also runs the IdeaForge Workshop, a 4-day intensive for building AI products. Contact vinpatel.pro@gmail.com or visit vinpatel.com/speaking.

Google Doubles Down on Anthropic With Up to $40B Bet

The signal: Google is planning to invest up to $40 billion in Anthropic, making it one of the largest AI infrastructure bets in history.

Why it matters: When one hyperscaler writes a $40B check to a model lab, it’s not a partnership — it’s an acquisition of strategic leverage. If you’re building on top of Claude or any Anthropic API, your dependency stack just got a lot more complicated.

The pattern I’m watching: Every major foundation model is now tethered to a cloud giant — OpenAI to Microsoft, Gemini native to Google, Anthropic now deep in Google’s orbit. The “neutral model provider” era is effectively over, and infrastructure lock-in is the new moat.

What I’d do with this: Audit your AI dependencies today — not tomorrow. If you’re shipping products on a single model provider, build an abstraction layer now so you can swap without a rewrite when pricing or terms shift, because they will.