How-To Guides
Follow our comprehensive step-by-step tutorials and practical guides for AI development, model deployment, and coding best practices.
The How-To library is where AI News Desk explains the moving parts: deploying agentic AI pipelines, wiring up Model Context Protocol servers, improving brand visibility in AI search engines, and building governance workflows that survive an EU AI Act audit. Every tutorial walks through a specific problem, the exact commands or prompts involved, the pitfalls we hit, and what a working result looks like at the end. The goal is practical fluency for developers and founders who need to ship AI features without becoming full-time researchers.
How-To Responsibility of Developers Using Generative AI
What developers using generative AI must own in 2026: safety, privacy, testing, disclosure, human review, and rollback before anything ships safely.
How-To What Is the Role of Generative AI in Drug Discovery?
Generative AI in drug discovery helps teams find targets, design molecules, and plan experiments. What works in 2026 and what still needs lab proof.
How-To AI Agent Evaluation Framework: Test Before Production
AI agent evaluation framework for testing task success, tool use, security, cost, and reliability before your agent touches live production systems.
How-To How to Improve Brand Visibility in AI Search Engines
Brand mentions beat backlinks 3:1 for AI visibility. Learn how to get cited by ChatGPT, Perplexity, and Google AI Overviews with real data and tactics.
How-To MCP Agentic AI: 7 Powerful Breakthroughs Transforming AI
Learn how Model Context Protocol (MCP) lets AI agents use real tools and live data. Covers MCP architecture, security risks, and practical use cases for 2026.