AI workflows
AssessTechniques
Structured sequences of AI/LLM steps used to automate tasks and model evaluation.
Why it's here
Placed in Assess: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 1 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 4InfoQ·8/6/2026researchRuntime-Agnostic AI Workflows for Durable Production and Fast Evaluation
The article describes a design pattern for AI workflows that must balance production durability with rapid evaluation cycles. It argues that persisting and distributing every step improves reliability across crashes and redeploys, but also makes experimentation and output-quality checks slower.