Choose between AI concepts.
Fast, practical comparisons for builders deciding what to use in an AI product.
Agent vs Automation: Known Path or Uncertain Path?
Compare AI agents with automation, and decide when autonomy is useful instead of a predictable scripted process.
Agent vs WorkflowAgent vs Workflow: Start Controlled, Add Autonomy Later
A decision guide for choosing adaptive AI agents or predictable AI workflows in real AI products.
MCP vs Function CallingMCP vs Function Calling: Integration Boundary or In-App Tool?
Compare Model Context Protocol with direct function calling, and decide when an AI product needs a reusable integration boundary.
MCP vs Tool CallingMCP vs Tool Calling: Protocol Boundary or Model Capability?
Decide whether your AI product needs simple tool calling or a reusable MCP integration boundary.
Prompt Engineering vs Fine-tuningPrompt Engineering vs Fine-tuning: Which Should You Try First?
Choose between prompt engineering and fine-tuning when an AI product needs more reliable behavior.
RAG vs Fine-tuningRAG vs Fine-tuning: Which Should You Choose?
A practical decision guide for choosing RAG or fine-tuning when building AI products.
RAG vs Long ContextRAG vs Long Context: Does Long Context Replace Retrieval?
Decide whether long context is enough, or whether your AI product still needs retrieval, ranking, citations, and evaluation.
Vector Database vs Full-text SearchVector Database vs Full-text Search: Which Retrieval Should You Use?
Choose between vector search, full-text search, and hybrid search for AI retrieval systems.