Building Reliable Agentic AI Systems
8.1 relevance
Score Breakdown
technical depth 8
novelty 8
actionability 8
community 8
strategic 7
personal 10
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Martin Fowler article on reliable AI agent systems, deeply technical and highly actionable.
Summary
Bayer and Thoughtworks built PRINCE, a cloud-hosted platform using Agentic RAG and Text-to-SQL to integrate decades of preclinical safety reports. The system employs specialized agents for intent clarification, reflection, and writing, with orchestration and observability designed for reliability. Key engineering decisions are framed as context engineering (shaping information flow between agents) and harness engineering (managing model behavior through recovery and human-in-the-loop controls).
Author
Sarang Sanjay Kulkarni