Learn how Model Context Protocol (MCP) servers and function-calling schemas connect language models to external data sources, developer tools, and enterprise systems.
Standardize how AI assistants read local context, query databases, and invoke external APIs safely.
How autonomous research agents plan multi-query searches, verify primary citations, cross-check conflicting claims, and compile structured briefing documents.
A practical engineering guide to building reliable browser automation workflows using AI agents, DOM snapshots, and human-in-the-loop checkpoints.
Versatile multimodal AI assistant by OpenAI for drafting, data analysis, web search, and custom workflows.
Anthropic’s AI assistant designed for nuanced long-form writing, large document analysis, and coding.
AI-native code editor built on VS Code with repository-wide indexing and multi-file refactoring.
Citation-backed AI answer engine that searches live web sources and synthesizes verifiable research briefs.
