Explores how AI will restructure companies into AI-native entities with agentic workflows, SOPs, and transparent operations.
A guide to managing context in ChatGPT for better AI results, covering tools like custom instructions, memory, projects, and CustomGPTs.
A guide comparing strategies for providing context to AI models in workflows, analyzing tradeoffs in cost, latency, and observability.
Explores using durable execution engines like Azure Durable Task Scheduler to build robust, long-running AI workflows, such as summarizing articles and generating newsletters.
Explores common design patterns for building AI agents and workflows, discussing when to use them and how to implement core concepts.
