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What It Really Takes (or Will Take) to Move GenAI Agents From Prototype to Production
Part 1 (of 2): From Demos to Durable Systems The rise of Generative AI has sparked a wave of experimentation. Within months, teams have gone from toy demos to prototypes capable of natural language reasoning, retrieval,…
Datasets and Evals: The New Product Spec for GenAI
Imagine asking your AI assistant to help reduce your monthly expenses and it suggests you sell your dog.…
AI can write the output. But PMs still write the outcome
Before GenAI, it was already hard to explain what exactly product managers do. We’re not engineers, but we…
Why testing GenAI apps is different from APIs?
In the rapidly evolving landscape of software development, GenAI applications represent a paradigm shift that challenges our traditional…
Is your GenAI agent ready for production?
Deploying LLM-powered agents involves systematically addressing key evaluation aspects, such as comprehensive testing, meticulous tool-use verification, and robust…
Better Prompts, Better Judgment
When (and When Not) to Use Step-Back Prompting in GenAI. As generative AI systems become more embedded in…
MCP or A2A? OR Both?
Scaling GenAI Beyond the Prototype. Why MCP and A2A Matter. The AI ecosystem is rapidly evolving to support…
What is CoT?
Improve GenAI’s problem-solving with step-by-step reasoning. Chain-of-Thought (CoT) prompting is a technique that helps language models break down…
What is CAG?
Using external context to guide and improve AI responses. Context-Augmented Generation (CAG) is an advanced AI prompting technique…
Could god create a model too big to lift?
A thought experiment on scale, limits, and the future of AI. The omnipotence paradox is a classic philosophical…