The prompt is the product: why most professionals are leaving AI performance on the table
Most professionals using AI tools in 2026 treat prompting as an afterthought, a quick line of text before hitting enter. The gap between casual prompting and deliberate prompt engineering is measurable, repeatable, and closing faster than most organizations realize.
Go deeper, free lessons
Anatomy of a good prompt: role, context, task, constraints
Asking for structured output: lists, tables, JSON
Few-shot prompting: teaching by example
Common prompting mistakes and how to fix them
Iteration and refinement: treating the model like a collaborator
Full transcript…
The skinny
The skinny isn't ready yet — notes appear once the transcript is processed.