One Capital Letter Was Silently Breaking My AI Support Bot, and It Wasn’t in the New Model
Picture a support inbox for a bank. Every message that comes in needs to be sorted into a category, a lost card, a refund request, a wrong charge, and sent…
-
-
Human-in-the-Loop Without Killing Throughput | Towards Data Science
Three weeks after we put a text-to-SQL agent in front of our internal analytics team, someone asked it to “clean up the test rows in the promotions table.” The agent…
-
How to Effectively Align Your Intent with Claude Code
interacting with coding agents such as Claude Code and Codex. They have enormous benefits in increasing the speed at which I can get things done as an engineer. There are…
-
How to Utilize OKF Efficiently to Enable Knowledge Exchange Among LLMs
The pattern. This is Google’s Open Knowledge Format skeleton — a Markdown file with a YAML frontmatter block — repurposed for agent hand-off. The repo’s frontmatter carries one extra load-bearing field the general…
-
I Built an AI Data Agent Which Can Query Data and Answer Business Questions. Here’s How.
In my last article, Many Companies Use AI. Few Know How to Build an AI-Native Enterprise Data Platform, I discussed how to integrate AI into the enterprise data platforms. I…
-
Backpropagation Explained for Beginners (Part 1): Building the Intuition
to understand backpropagation? If you’re trying to understand how modern AI systems like large language models (LLMs) are trained, backpropagation is one of the most important concepts to understand. But…
-
Many Companies Use AI. Few Know How to Build an AI-Native Enterprise Data Platform.
have already adopted AI to improve everyday productivity over the past few years. AI has rapidly become part of enterprise workflows: Building internal chatbots to answer HR, IT, or policy…
-
Context Engineering Isn’t Enough — A Loop Engineering Experiment With No LLM Inside the Loop
The Scope: This isn’t a benchmark pitting agent frameworks against each other, nor does it claim this controller is “smarter.” It claims something narrower and much more defensible: that failure…
-
Prepare These 5 Assets Before Your AI Agents Take On More Work
TL;DR: , the work itself needs to be clearly defined. That means knowing what the task is, giving AI the right business context, explaining what good work looks like, and…
-
Don’t Let Claude Grade Its Own Homework
I had a handful of parallel Claude agents write me up a strategy folder for a side project. The pull request looked great: ten documents, all neatly cross-linked, and it…
