How to structure inputs, processing, and outputs to build reliable AI-driven workflows in real products.
Why treating AI as a feature leads to fragile products — and how to design it as a system instead.
Why most AI tools fail — and how to turn simple prompts into meaningful, usable outputs.
Best practices for adding AI into existing systems without unnecessary complexity.
How deterministic verification ensures high-stakes compliance in customer-facing workflows.
Moving beyond oversized context windows with targeted semantic retrieval.
Finding the right balance between machine speed and human oversight in sales operations.