Imagine you're a marketing manager tasked with creating the perfect audience segment from over a million households. Days of research, trial, and error—only to wonder if you missed a better option. What if AI could do it all in minutes?

SaaS, RPA, and Low-Code/No-Code promised to revolutionize business operations, but they've often fallen short, creating new challenges instead of solving old ones. Let's dive into why 👇

software engineering is the original prompt engineering, in both cases you feed in blobs of text to tell the computer what do

Happy Perfect Square Year, everyone!

The problem with research papers is that they’re not grounded in reality solving practical problems. If you’re looking to use AI agents to solve real problems don’t look for insights in research papers.

Last week I wrote about the rise of agentic AI systems. This week, I'm exploring in depth (~4,000 words!) what makes autonomous agents truly autonomous.

Read the full article here: melvintercan.com/p/anatomy-of...

Yesterday's announcement of Google's quantum chip, and in particular their claim that quantum computing leverages multiple universes, spurred many discussions online.

After reading many comments, here's what I gathered:

Hundreds of vertically integrated AI startups are busy replacing entire teams. At the same time, starting and scaling a billion dollar business has never been easier.

Read more here: melvintercan.com/p/ai-is-eati...