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Building reliable agentic AI systems

8.6 relevance
Score Breakdown
technical depth
9
novelty
8
actionability
8
community
9
strategic
8
personal
10

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Martin Fowler article on building reliable agentic AI systems, directly matches reader's AI orchestration interest.

AI/ML martinfowler.com
Building reliable agentic AI systems
Summary

Bayer AG and Thoughtworks built PRINCE, a cloud-hosted platform using Agentic RAG and Text-to-SQL to integrate decades of preclinical safety study reports. The system evolved from keyword search to an intelligent assistant that answers complex questions and drafts regulatory documents, prioritizing trust via transparency, explainability, and human-in-the-loop. Key engineering decisions centered on context engineering—shaping and routing information between specialized agents—and harness engineering for orchestration, recovery, and observability.

Author

Sarang Sanjay Kulkarni