Impromptu
One-Shot Orchestration: Solving the AI Cold-Start Problem.
"Impromptu: modular design-system seeding."
The Challenge
The first prompt is the single point of failure in generative design. Without a dense architectural starting point, LLMs default to generic, low-fidelity layouts, and reaching a production-ready result takes hours of corrective prompting. The cold-start problem, in short: the model's first guess is its worst one.
The Solution
Impromptu is a modular framing utility that compresses days of project setup into a single, high-context instruction set. Rather than prompting a model cold, it seeds the session with everything a designer would brief a human on: the structural skeleton of the application, the visual DNA, the intended user, and how the screens relate to one another before any of them are generated. The model starts aligned instead of being corrected into alignment.
The Impact
First generations land close to the mark instead of generic, cutting aesthetic course-correction dramatically
New application concepts spin up from a repeatable blueprint with consistent systemic logic
Pairs with the governance framework: one tool starts the session right, the other keeps it right
Key Focus: One-Shot Prompting, Cold-Start Optimisation, Modular Architecture, AI Workflow Design