How-To
Step-by-step tutorials to master AI tools effectively.
24 ARTICLES
24 ARTICLES IN HOW-TO
Google Gemini for Personal Search: How AI Bridged a 31-Year Gap in 2024
Discover the incredible story of Mohammed Ismail, who used Google Gemini and Google Maps to find a childhood friend after 31 years. Learn how personal AI utility is transforming the way we search for people and locations across decades.
Programmable Automation: Building Headless AI Agents with Codex in 2024
Discover the shift from conversational chatbots to headless AI agents. This guide explores how to leverage Codex for programmable automation and advanced developer tools to streamline your workflows.
Agentic Workflows: The Professional Shift from 'Vibe-Coding' to AI Engineering
Industry leaders like Andrew Ng are defining structured workflows for coding agents—moving beyond rapid, experimental 'vibe-coding' toward rigorous planning, execution, and monitoring to prevent technical debt.
Mastering Hybrid AI: Your 2026 Guide to Hybrid AI Architecture with Local LLMs and Cloud Models
Learn how to build a robust Hybrid AI architecture by combining local LLMs for data privacy with cloud models for complex reasoning. This guide explores cost optimization and scaling strategies for modern enterprises.
Advanced Context Engineering and Agent Instruction Frameworks
Move beyond basic prompting to master advanced context engineering. This guide explores the five core components of functional AI agents, from LLM reasoning engines to system instruction playbooks.
Building and Securing Multi-Agent AI Systems
Learn how to build and secure complex multi-agent systems using LangGraph and Codex subagents. This tutorial covers essential security protocols and human-in-the-loop workflows for modern agentic AI applications.
Optimizing Enterprise RAG Accuracy in 2024: Rerankers and Proxy-Pointer Knowledge Graphs
Basic RAG systems often struggle with complex enterprise documents. This guide explains how to use rerankers and knowledge graphs to improve retrieval accuracy for legal and financial professionals.
How to Use Google Maps AI Agent for Real-World Task Automation: A 2024 Guide
Discover how agentic AI features in Google Maps can automate your travel planning and daily tasks. This guide shows you how to book hotels and find events using simple natural language commands.
Eval-Driven Development: The New PRD for AI Products
Stop relying on 'vibes' for AI development. Learn how Eval-Driven Development serves as the new PRD, ensuring your AI products are reliable, safe, and ready for production-scale deployment.
Building Queryable AI Portfolios with Model Context Protocol (MCP) in 2024
Transform your static developer portfolio into a dynamic, queryable asset using the Model Context Protocol (MCP). This guide shows you how to connect your projects to AI assistants like Claude Desktop, allowing recruiters and agents to interact with your work in real-time.
The Agentic Context Layer: Solving Enterprise AI Hallucinations in 2026
AI hallucinations and stale data can damage enterprise reputation. This guide explores how the Agentic Context Layer solves systemic drift, providing a framework for real-time data consistency and reliable AI performance.
Model Context Protocol (MCP) for Google Workspace Productivity
Streamline your Google Workspace workflows by integrating the Model Context Protocol (MCP). This guide covers setting up OAuth credentials and configuring the mcp-gee-sweet server to enable secure AI-driven automation.