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OpenAI Agents SDK
Find out what OpenAI’s Agent SDK is, how it works, along with various benefits and challenges you should consider.
Conor KellyLLM as a Judge
Learn what LLM as a Judge is, how it works, its benefits, challenges, and best practices for automated evaluations in AI applications.
Conor KellyPrompt Files
Find out what prompt files are and how they work. Discover how they provide a structured, version-controlled approach to managing AI prompts.
Conor KellyModel Context Protocol (MCP) Explained
A guide on the Model Context Protocol (MCP), explaining what MCP is, how it works, its architecture as well as the benefits and challenges you should know.
Conor KellyWhat is LLM Observability and Monitoring?
Learn how LLM monitoring works, why it's important, as well as best practices and important metrics you should know.
Conor Kelly5 LLM Evaluation Tools You Should Know in 2025
A guide on the LLM evaluation platforms you should know in 2025.
Conor KellyWhat is Prompt Management?
Learn what prompt management is, how it works, its benefits and challenges, and how to set it up.
Conor KellyTop 5 Vector Databases in 2025
A guide on the top vector database to use for AI agents and applications in 2025.
Conor KellyAI Is Blurring the Line Between PMs and Engineers
AI is blurring the line between PMs and engineers; now PMs and domain experts can drive product creation through prompt engineering.
Raza HabibStructured Outputs: Everything You Should Know
Explore Structured Outputs, understand how it works and how to get started on OpenAI, Gemini and Humanloop.
Conor Kelly
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