Notes from the production floor
Tutorials, prompt craft, and real case studies on shipping client-ready visuals with GPT Image 2. 6 articles and counting.
The anatomy of a production-ready prompt
Most prompts fail because they describe a subject but not an outcome. Here's the five-part structure we use to get client-ready images on the first pass.
Image-to-image: keep the product, change everything else
Reference-based editing is the most underused feature in GPT Image 2. Here's how to reshoot a product across seasons, settings and styles without losing its identity.
A stock-free visual system for a SaaS launch
A worked example for planning a consistent set of launch visuals, from the landing page through product screenshots.
In-image text that survives a client review
Garbled typography has been the tell of AI images for years. GPT Image 2 changes that — and it quietly unlocks posters, packaging and UI mockups.
The real bottleneck in AI imagery isn't quality — it's consistency
Single images are solved. The unsolved problem is the tenth image in a series. Why character and style consistency is the frontier that matters for teams.
Negative prompts: what to exclude (and what to leave alone)
A short, practical guide to negative prompts — the five exclusions that fix most problems, and the over-stuffing mistake that creates new ones.