Blog

Personal notes, architecture sketches, production lessons. I've accumulated a lot over the years and decided to distill it all into the comprehensive AI engineering resource I wish existed when I started. From transformer fundamentals to reasoning models, from training frameworks to agentic RAG, from multi-agent orchestration to production applications like deep research, coding agents, and AI-powered search.

Articles

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Agentic AILLMs

Building MCP Servers: Custom Tool Integrations for AI Agents

A comprehensive guide to building Model Context Protocol (MCP) servers—from basic tool exposure to production-grade integrations with authentication, streaming, and error handling.

December 26, 202518 min read

Agentic AILLMs

Voice AI Agents: Building Real-Time Conversational Systems

A comprehensive guide to building voice AI agents—real-time speech APIs, WebRTC integration, turn-taking, interruption handling, telephony integration with Twilio, and production patterns for voice-first AI systems.

December 20, 202517 min read

Document Processing Pipelines: From PDF to RAG-Ready Chunks

Build production document processing pipelines for LLM applications. PDF extraction, chunking strategies, embedding models, and retrieval optimization with 2025 best practices and tool comparisons.

December 17, 202518 min read

Agentic AIAutomation

Browser-Use: How AI Agents Control Web Browsers

A comprehensive technical analysis of Browser-Use—the library powering browser automation in AI agents like OpenManus and Cline. Understanding DOM extraction, element indexing, action execution, and how LLMs interact with web pages.

November 14, 202518 min read

EducationAgentic AI

Building Customer Support Agents: A Production Architecture Guide

A comprehensive guide to building multi-agent customer support systems—triage routing, specialized agents, context handoffs, guardrails, and production patterns with full implementation examples.

November 8, 202513 min read

EducationAgentic AI

Building a Local Concierge: Combining Retrieval and Agentic AI for Real-World Actions

A comprehensive guide to building AI systems that both retrieve information (restaurants, events, attractions) and take real-world actions (booking reservations, purchasing tickets). Covers hybrid architectures combining MCP servers for API integrations with browser automation for universal site access.

October 29, 202530 min read

Agentic AILLMs

Google ADK: Building Multi-Agent Systems with Agent Development Kit

A comprehensive guide to Google's Agent Development Kit (ADK)—building agents, creating tools, orchestrating multi-agent systems with subagents, and deploying to production. Includes real examples from the official adk-samples repository.

October 27, 202512 min read

Agentic AIResearch

Open Deep Research: Inside LangChain's Production Deep Research Agent

A comprehensive technical analysis of Open Deep Research—LangChain's open-source implementation of deep research agents. Understanding the supervisor-researcher architecture, query decomposition, parallel investigation, and report synthesis that powers production research systems.

October 20, 202522 min read

AI SearchSEO

SEO vs GEO vs AEO: A Decision Framework for 2025

Should you invest in traditional SEO, Generative Engine Optimization (GEO), or Agentic Engine Optimization (AEO)? A practical decision framework based on your business model, resources, and audience.

October 16, 20259 min read

EducationLLMs

LLM-Powered Search for E-Commerce: Beyond NER and Elasticsearch

A deep dive into building intelligent e-commerce search systems that understand natural language, leverage metadata effectively, and support multi-turn conversations—moving beyond classical NER + Elasticsearch approaches.

October 11, 202530 min read

Agentic AIResearch

Building Deep Research AI: From Query to Comprehensive Report

How to build AI systems that conduct thorough, multi-source research and produce comprehensive reports rivaling human analysts.

October 3, 202512 min read

EducationRAG

Building Semantic Memory for LLM Conversations: A Hierarchical RAG Approach

A practical guide to building a semantic search system for your LLM conversation history using hierarchical chunking, HyDE retrieval, knowledge graphs, and agentic research patterns.

October 3, 20256 min read