Welcome to NeoSage

Where you dive deep into the what, why and how of AI. No fluff. No hype. Your weekly window into applied AI engineering.

Hey there 👋

Welcome to NeoSage—a technical deep-dive newsletter for engineers, solopreneurs, and AI builders who want to build in-depth intuition on all things AI—from how LLMs work to how to architect multi-agent systems.

This is where you’ll owl-ways get the insights to ride the AI wave skillfully 🦉

Why NeoSage

You’ve heard “AI will replace you.”
You tried vibe coding with your favorite LLM (rhymes with fraud), only to end up running in circles, with nothing even remotely shippable.
Now you’re wondering:
Is building consistent systems with AI even possible—or is it all hype?

That’s where NeoSage comes in:
The messiah.
The harbinger of clarity and systems thinking in a world of AI chaos.

Sure, AI is evolving at breakneck speed. But it’s not all rainbows and unicorns (though quite a few are being spun up because of it 😉).
The media hype? Overstated. The practical resources? Underwhelming.

To actually build with AI, you need to understand the what and how.
You need to think in systems.
You need to connect the dots between deterministic code and stochastic magic.
And trust me—
That prompt engineering course?
It’s not it 😅

NeoSage exists to bridge the gap between research papers and real-world engineering.

And now that it’s here—and you’re here—rest assured:
Every week, you’ll get deep breakdowns of architectures, tools, and ideas powering today's AI systems.

No fluff.
No AI hype.
Just lessons from the trenches of applied AI.

What You’re In For

As a NeoSage subscriber, you’ll get deeply technical insights delivered straight to your inbox every week.

Expect breakdowns on:

• Technical Concepts (Foundational to Advanced):
  AI/ML fundamentals, deep learning intuition, LLM mechanics—explained clearly.

• AI Systems Architecture:
  RAG, Agentic AI, building with LLMs, production-ready setups, and security considerations.

• Model Deep Dives:
  GPT-4o, Vision Models, DeepSeek, Gemini, and more

• How-To Walkthroughs:
  Tools, libraries, frameworks (MCP, LangChain, etc.)—explained with actual dev workflows.

• Mini Projects + Tutorials:
  Get your hands dirty with guided builds and real-world projects.

Meet Your Owl-thor

Shivani Virdi is a software engineer with over 5 years of experience building products and systems at Adobe, Amazon and now at Microsoft. Writes deep dive technical content breaking today’s AI landscape, tying research and systems together to a readership of 22K+ engineers on LinkedIn.

What the First Month Looks Like

Here’s what’s coming up in your first four issues of NeoSage:

1. LLMs: The What, How, Why (An engineer’s guide)
   → Understand large language models from scratch—no fluff, just real foundations that stick.

2. How to Use Modern-Day LLMs
   → Go beyond prompting—learn how to think with and think around LLMs to get actual results.

3. RAG for Noobs
   → A beginner-friendly breakdown of Retrieval-Augmented Generation, and how it powers smarter AI systems.

4. Build Your Second Brain with MCP (Model Context Protocol)
   → What is MCP? Where do you begin? How do you make the most of it? We’ll break it down and walk you through setting up a second brain with Claude and MCP.

Subscribe for free

Sit back and let NeoSage sharpen your AI engineering skills,
One Wednesday at a time, five minutes at a time.

Hit subscribe, share it with a friend, and let’s build the future of AI the way it was meant to be: Thoughtfully, skillfully, and at scale.

See you in your inbox,
Shivani

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