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 -
Building AI Agents from Scratch
Learn how to build AI agents from scratch using Python, explicit tools, and a transparent control loop for safe, reliable reasoning.
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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 -
Pydantic AI Gateway: Unified Interface for Multi-Provider AI Access
A comprehensive guide to Pydantic AI Gateway, covering its architecture, key features, provider management, and how it simplifies multi-provider AI access with built-in observability and cost management.
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'LLM as a judge' for evaluation using Pydantic AI
A comprehensive guide to using LLMJudge in Pydantic AI for evaluating subjective qualities of LLM outputs based on rubrics.
31 Dec 2025by Arpit Pathak -
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 -
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 -
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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