Satish Choudhary In Simple Terms

Product & Technology Leadership

I like making messy technology decisions easier to understand.

I spend a lot of time around questions like what to build, what to simplify, what to automate, and how to explain the tradeoffs clearly enough that teams can move.

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Satish Choudhary
Focus Product judgment, AI, platforms, delivery
Approach Make the complex usable
Direction Turning unclear options into the next useful call.
Systems Keeping architecture understandable as it grows.
Clarity Explaining the technical parts without hiding the hard parts.

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The latest daily tech brief, ready to listen.

One useful technology system explained clearly every day, short enough to listen while moving and technical enough to keep learning.

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Daily IQ episode artwork for What Is an NPU? Do You Really Need an AI PC?

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What Is an NPU? Do You Really Need an AI PC?

Cloud August 31, 2026 5 min

We keep hearing the term “AI PC,” but how is it different from a regular computer? Compare the processors, workloads and software behind both categories—and learn when an NPU provides a real benefit, when...

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We keep hearing the term “AI PC,” but how is it different from a regular computer? Compare the processors, workloads and software behind both categories—and learn when an NPU provides a real benefit, when cloud AI works just as well, and what to check before paying more.

This episode uses authorized synthetic narration based on Satish's own voice. The topic, script, and final editorial approval are by Satish.

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In Simple Terms

This site is about making complex technology decisions easier to understand.

I write, build tools, and record explainers for the moments where teams need clarity: what a system does, why it matters, what tradeoffs it creates, and what decision should come next.

  • AI, AEM, blockchain, architecture, and platform concepts explained without hiding the hard parts.
  • Product and technology judgment translated into practical questions teams can use.
  • Articles, episodes, topic hubs, and tools that connect learning to real decisions.

Operating Thesis

The same questions keep showing up in different systems.

Most of my work sits between product direction, engineering depth, and business judgment. The hard part is rarely just the code. It is deciding what matters, what can wait, and what the team needs to understand before moving.

This site is where I collect the things I keep explaining at work, on calls, and through In Simple Terms: product notes, architecture patterns, AI guidance, platform thinking, and simple explanations of systems that usually get buried in jargon.

What I Am Building Toward

Better judgment, not just deeper code.

I am trying to get better at the calls that compound: clearer tradeoffs, calmer execution, and systems that stay understandable over time.

01

Product Direction

Working through what should be built, why it matters, and what tradeoffs come with it.

02

Platform Thinking

Building systems that help teams move faster without making the future harder to reason about.

03

Decision Clarity

Putting technical tradeoffs into language that people can actually use.

In Simple Terms on YouTube

The channel is where I practice explaining clearly.

In Simple Terms started from a simple habit: if I keep explaining something to people, I should learn how to explain it better. The videos are part teaching, part notebook, and part practice in making complex ideas usable.

Explore Episodes Watch on YouTube
01AI explained without hype
02Architecture and platforms made practical
03The things I keep explaining, made reusable

Featured Learning Hubs

Explore the work by topic and tool.

Enterprise Platforms

AEM Learning Hub

AEM concepts, Cloud Service, Dispatcher, authoring, publishing, and the platform decisions behind digital experience work.

Explore AEM In Simple Terms Tools

AEM Practical Toolkit

Companion tools for In Simple Terms lessons: AEM URLs, Dispatcher rules, Query Builder, ClientLibs, HTL, Sling Models, OSGi, and workflows.

Open Toolkit Modern Systems

AI Learning Hub

AI foundations, ChatGPT, LLM behavior, prompts, agents, vector databases, trust, and workflow impact.

Explore AI Trust Systems

Blockchain Learning Hub

Ledgers, hashing, consensus, mining, smart contracts, public and private networks, and practical adoption tradeoffs.

Explore Blockchain

Quick Answers

What this site is here to answer.

What is Satish Choudhary known for?

Satish Choudhary focuses on making complex technology decisions easier to understand, especially across product judgment, AI, enterprise platforms, AEM, blockchain, and technology leadership.

What is In Simple Terms?

In Simple Terms is Satish Choudhary’s learning format for explaining complex technology topics through clear articles, videos, topic hubs, and practical tools.

Who is this site for?

The site is for people who want practical explanations of technology concepts and the decision-making context behind them, without unnecessary jargon.

Start Here

A few good entry points.

If you are new here, these are better starting points than whatever I happened to publish most recently.

Point of View

How I think about technology leadership

A more direct note on product judgment, platform thinking, AI adoption, delivery, and the kind of technical clarity I am trying to build.

Read the POV Working Tool

Try the AEM Practical Toolkit

A native set of small AEM helpers for URLs, Dispatcher rules, Query Builder, ClientLibs, HTL, Sling Models, OSGi configs, workflows, and more.

Open the toolkit AI Explainer

How ChatGPT actually works

A simple explanation of language models, prediction, tokens, and why AI can feel intelligent while still needing careful human judgment.

Watch the explainer AEM Path

AEM explained through 30 concepts

A broad entry point into the AEM series, useful before going deeper into Dispatcher, Sling, ClientLibs, templates, workflows, and platform decisions.

Start the AEM path