We are at the halfway mark. Today’s AI prompt turns any graphic into a polished digital journal cover. That matters because digital planners, printable journals, journal templates, and digital downloads are still some of the most searched products on Etsy. This is not just a pretty cover. It is a starting point. You can take one piece of artwork, use ChatGPT to turn it into a journal cover design, and build from there. A gratitude journal. A wellness planner. A self-care journal. A business planner. A prayer journal. A reflection workbook. One graphic can become a product. I used ChatGPT to create the design shown here. The full AI journal cover prompt is in the chat. Tell me this: what has been your favorite prompt from the challenge so far? ⭐I created two covers. Tell me which one you like best. Prompt can be found in the chat

What does AI say your name means? PROMPT IN CHAT. I used ChatGPT 2.0. 3 ways to use this for yourself and others: - Make it personal. Use your own name and upload your photo. Let AI choose words based on what you share about your life, your work, and how you move. - Make it a gift. Drop in a friend's name for their birthday. A mom's name for Mother's Day. A graduate's name for their big moment. It takes minutes, but it feels like it took weeks. - Turn it into a content series. One letter per day. Go deep on each word. That is five days of content from a single prompt. Drop your acrostic graphic in the comments. I want to see what AI says your name means.

We’ve been running a handful experiments with ChatGPT Image 2 — image tests, composition swaps, and prompt chops that teach faster than a week of guessing. If you want better image outputs (and fewer wasted renders), these study results will save you time. What we posted: A gallery of test cases showing the same base prompt run through Image 2 render, iteration or edits: composition recrops, material swaps, lighting tweaks, and object replacements. Quick refresher — what ChatGPT Image 2 adds (short & usable): • Direct image edits with instruction language: you can upload an image and tell the model what to change in plain language (swap fabric, change pose, remove background object) — not just regenerate from scratch. • Region‑aware edits: point to or mask a specific area and ask for targeted changes (recolor a jacket, replace a prop, refine a face) while the rest of the image stays intact. • Better compositing intelligence: Image 2 keeps lighting and perspective more consistently when you ask it to insert or replace elements, reducing the “pasted” look. • Faster iterative tweaks: combine short, layered edit instructions (e.g., “tighten crop → warm rim light → swap shoes”) to get to a final faster than full re‑renders. • Guidance on style continuity: ask it to match a specific finish (matte, latex, satin), and it will prioritize material behavior across edits. What surprised us (real notes): • Region edits are massively faster than full re‑renders when you only need one small change — but they’re only as good as the instruction precision. • The model preserves global light far better than Image 1, but it still needs nudges for specular consistency on shiny materials. • Small wording changes matter: “make the jacket satin with soft specular highlights” vs “make shiny jacket” produced very different, and repeatable, results. Top practical tips from the study: 1 - Start with a precise visual goal — one sentence: “Make this portrait read like a glossy magazine cover with satin jacket highlights.”

We’d ❤️ to know.

Name your go to AI tools in the comments that you used this week! Mine will be in the comments