The Agent Promise vs. the Agent Reality Every AI agent demo looks the same. The agent gets a prompt, calls a tool, returns a result. The audience applauds. Then someone tries to build a real workflow — one that handles messy PDFs, evaluates whether the extraction is trustworthy, generates a report when it is, and flags a human when it isn't — and the demo falls apart. The hard part of agent-base
Building AI Agents That Process Documents: MCP, Structured I/O, and Confidence Routing
Iteration Layer·Dev.to··1 min read
D
Continue reading on Dev.to
This article was sourced from Dev.to's RSS feed. Visit the original for the complete story.