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 His work has been archived by the British Library and cited by UKCERT.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 Code Routines Hit Developer Radar

The signal: Developers are sharing their best Claude coding routines and workflows, with discussions hitting 591+ engagement on HackerNews.

Why it matters: This isn’t about ChatGPT anymore—Claude is winning mindshare among serious developers who ship code daily. The community is moving past basic “write me a function” prompts to sophisticated, repeatable workflows that integrate into their actual development process.

The pattern I’m watching: We’re seeing the emergence of “AI-native development workflows” where the assistant becomes a persistent pair programming partner, not a one-off query tool. Developers are treating Claude like a specialized IDE extension, building muscle memory around specific interaction patterns.

What I’d do with this: Start documenting and systematizing your own Claude workflows now—the developers building these repeatable routines will have massive productivity advantages in 6 months. If you’re building dev tools, study these patterns closely because they’re showing you exactly how developers want to interact with AI in their daily flow.