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 His work has been archived by the British Library and cited by UKCERT.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.

Claude's Token Troubles Signal a Wider AI Reliability Reckoning

The signal: A viral Hacker News thread about cancelling Claude—citing token ceiling issues, perceived quality degradation, and unresponsive support—is generating serious engagement from builders.

Why it matters: When developers start publicly rage-quitting AI subscriptions, it’s not just frustration—it’s a signal that the gap between AI marketing and production reality is widening. If you’re building anything on top of Claude’s API right now, you need a fallback strategy, not a prayer.

The pattern I’m watching: This is happening the same week Google announced up to $40B in Anthropic investment and OpenAI dropped GPT-5.5 in the API. Big money is flowing in, but developers on the ground are hitting walls. Funding rounds don’t fix token limits or support queues.

What I’d do with this: Treat any single AI provider like a single point of failure—because it is one. Build a lightweight model-routing layer now, even a crude one, so you can swap Claude for GPT-5.5 or a local model without rewriting your core logic.