The Problem
You spent two weeks building an agentic system with tool calling, memory, and reflection loops. It works, but it's slow, expensive, and breaks in unexpected ways. Your colleague solves the same problem with a 200-line prompt that runs in 3 seconds and costs $0.02.
Agents are powerful, but they're not always the answer.
The industry pushes "agentic AI" as the future, so developers reach for agents by default. But agents add complexity, latency, and failure modes. Sometimes the simplest solution - a well-engineered prompt - is the right one.
The Core Insight
Agents are for exploration and adaptation. Prompts are for execution and reliability.
Think of agents like full-stack developers: they can figure things out, explore solutions, and adapt to changing requirements. Prompts are like specialized scripts: they do one thing reliably, fast, and cheap.
The question isn't "can an agent do this?" - it's "does the task require exploration, or just execution?"