Most people open an AI tool and start typing. They describe what they want, hit enter, and hope for the best. When the result falls short, they blame the model. But the real bottleneck is almost never the model itself. It is the absence of structured context feeding into the prompt.
At The Product Consortium's Vibe Code Workshop, Bjorn Vuylsteker presented his full workflow for gathering, organizing, and delivering context to AI tools before a single line of code gets generated. His thesis is simple: the prompt is the brief, but the context is everything. The better your knowledge base, the better every interaction with every model becomes.
Think Before You Prompt
Bjorn opened with a reframe that set the tone for the entire talk. Instead of just throwing a prompt into a tool, he argued, you should do what you would do in any real-world project: think about what you need and what the output should look like before you start building. That sounds obvious, yet the default behavior for most people using AI is to skip this step entirely.
