AI Adoption Practitioner · Mumbai
I'm a Mumbai-based AI adoption practitioner. I help engineering teams and non-technical professionals put AI into real daily work, with deep specialization in Claude Code, the Model Context Protocol, and agentic workflows.
10+
Years engineering
100+
Enterprise tenants migrated
5
Products built from scratch
Content
AI tools, engineering workflows, and lessons from building in production. Videos in Hinglish 🇮🇳
How OpenClaw actually works internally, why it burns 10,000 tokens before your first message, and what makes it fundamentally different from Claude Code or Cowork. Real use cases, honest security risks, and whether you should try it today.
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How Claude Cowork automates the entire workflow (reading websites, analyzing content, and delivering summaries directly to Slack) without a single line of code. The Brain, Eyes, Mouth mental model for AI automation.
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One terminal, one agent, 15-minute wait per task. What if you ran 3 AI agents in parallel on the same codebase? Production-grade workflow for 3-4x development speed without sacrificing code quality or safety.
WatchOpen Source
Tools I built to solve real problems. All open source, built in public.
An MCP server that connects Content Board (my Firebase PWA for YouTube production) to Cowork, Claude's desktop agent. I built it live on the channel, episode by episode, so the whole thing is documented end to end. It's the working proof that the MCP tutorials on this site come from a server I actually ship and use every week.
Chrome extension that adds a personal prompt library sidebar to ChatGPT and Claude. Save prompts with tone and format settings, insert them in one click, and sync across devices via Google Drive. No backend server.
A folder-based workflow automation system for Claude Cowork. Define repeatable AI workflows once: manual pipelines with approval gates, scheduled tasks, multi-stage projects. Includes a YouTube content pipeline and daily community scout out of the box.
In Person
I teach in-person, not just on screen. Hands-on sessions where people build real things with AI.
A hands-on session where developers use Claude Code and non-technical professionals use Claude Cowork to build an MVP together, live.
Learn moreI teach AI adoption broadly. Claude is where I go deepest, so that's where the first meetup starts.
Engineering Background
Before I taught AI adoption, I spent 10 years building enterprise systems. That background is why I know when AI helps and when it doesn't.
Today I'd use AI to automate the tenant-by-tenant migration validation. Back then, we did it manually.
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This was AI in production before the hype cycle. Probabilistic models making real deployment decisions.
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Legacy modernization at its messiest. The kind of system complexity where AI-generated code breaks on day one if you don't understand the domain.
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Identity systems have zero margin for error. AI accelerates the boring parts, but a human must own the critical path.
View case study About Jitan
Mumbai-based AI adoption practitioner with 10+ years of enterprise engineering. Deep specialization in Claude Code, the Model Context Protocol (MCP), and agentic workflows.
I build with AI in the open and teach engineers what I learn through YouTube (Hinglish), open source, and real case studies.