A job is a chain of tasks, and AI reliability multiplies downward across it. At 90 percent per task, a ten step job finishes about 35 percent of the time. Anthropic, METR, and the task based view of automation all point the same way.
Anthropic research confirms simple workflow patterns beat complex AI frameworks. With over 40 percent of agentic AI projects facing cancellation, structured processes are the missing infrastructure for useful agent deployments.
Gartner predicts over 40% of agentic AI projects will be canceled by 2027 without structured processes. AI agents need sequential, parallel, and evaluation-loop workflow patterns that both Anthropic and AWS agree on as fundamentals.
Anthropic donated MCP to the Linux Foundation in 2025, creating a standard way for AI agents to use tools. REST APIs still handle the heavy lifting underneath. Here is how all three compare and why defined workflows matter most.