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Pragmatic AI

Kiran Adimatyam

Talks about Artificial intelligence, Machine Learning, Deep learning and data science related topics.

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Substack
PricingOnly free issuesPublishesWeekly
Issues47Founded4 years agoLast Issue4 days ago
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Latest Issues

Harness Engineering: Give Your Agent a Map, a Scoreboard, and Brakes

An AI coding agent announces that checkout is fixed. The ordinary order works. But a free order now gets a one-dollar processing fee.

The missing piece is a system that lets the agent observe the failure and correct it. Harness engineering...

4 days ago
1

I wanted to write in my ebooks. So I built PageScribe.

I wanted a small thing from my e-reader: to write a quick thought beside a passage, then keep reading. I also wanted to select a sentence with my finger, highlight it, and look up a word without changing modes every few seconds.

That becam...

5 days ago

DeepSeek Superagent: From a GitHub Request to a Reviewable PR

A teammate opens your repository and cannot find the command to run the tests. That missing README section is a useful first job for a coding agent: small, visible, and easy for a person to verify.

In today’s Emerging Tech Hub lesson, we u...

6 days ago

How a Neural Network Learns—Starting With Your Lunch Delivery

Your lunch is eight miles away. A predictor says 25 minutes. It arrives in 30.

That five-minute mistake gives us a simple way to understand machine learning: make a prediction, measure the error, and adjust the rule.

Pragmatic AI is a rea...

6 days ago

I Built a Self-Hosted Reading Stack on a Mac

I wanted a simple routine: read a book on my e-reader, pick up my phone when I head out for a walk, and keep my library on hardware I own.

That turned into a project involving BookOrbit, Audiobookshelf, KOReader, Tailscale, and eventually...

a month ago

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  • Kiran Adimatyam

    Talks about AI technology and related advancements.

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