Blog
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Building AI Task Suggestions: Teaching a Machine to Read My Emails
I built an AI system that reads my emails and meeting notes to suggest tasks automatically. Here's what I learned about Gmail APIs, LLMs, and why processing 50 emails at once seemed like a good idea.
18 Feb 2026by Harshith Rao -
Understanding Anthropic Agent Skills: From Tool-Calling to Expertise Modules
Agent Skills transform AI agents from generalists that need constant instruction into specialists with reusable expertise. This article demystifies what Skills are, how they differ from tools and prompts, and why they represent a fundamental shift in how we build reliable AI systems.
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Building a JIRA Chatbot: The AI-Powered Way
I spent two weeks building a JIRA chatbot that answers any question in plain English. Here's what I learned about combining JIRA's REST API withGemini, the mistakes I made, and what actually works in production.
by Harshith Rao -
AI Agents: What They Are, How to Use Them, and When Not To
Large Language Models excel at processing and generating language, but tackling multi-step problems requires AI agents. Learn what they are, how to build them, and when to skip them.
19 Jan 2026by Anitha -
LLM-as-a-Judge: What It Is, How to Use It, and When Not To
A practical guide to using LLMs as evaluators: when to use them, when not to, and how to design effective rubrics for robust, reliable AI evaluation.
31 Dec 2025 -
How to Write with AI
In the age of AI where 99 out of 100 articles are being written by AI, it is very critical to differentiate yourself from the rest of the pack with quality and authenticity.
20 Dec 2025 -
Convolutional Neural Networks (CNNs): A Deep Dive
An in-depth guide to Convolutional Neural Networks (CNNs), covering their architecture, key concepts, popular models, and real-world applications.
18 Dec 2025by Rajashekar G -
Why Shrinking Models Makes Them More Powerful
Quantization, pruning, and student–teacher training reveal a core truth of modern AI intelligence is resilient, redundant, and far less dependent on precision and scale than we once believed.
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Building an AI-Powered Query System on Salesforce Objects
A deep dive into Salesforce objects, their structure, and how to leverage LLMs to build an AI-powered querying system for dynamic business insights.
09 Dec 2025 -
Why Talking Matters in the Age of AI
Free, unedited speech is not a shortcut - it is an engine. Speech accelerates recall, expands associative range, reveals hidden intent patterns, and produces the raw material from which high-quality reasoning emerges.
08 Dec 2025 -
Understanding Embeddings: The Semantic Backbone of LLMs
Embeddings are the semantic backbone of LLMs, transforming raw text into vectors that machines can understand. This article explores how embeddings evolved from simple statistical methods to the sophisticated contextual representations that power modern AI.
21 Jan 2025
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