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In our Anthropic Claude Design study, 5 designers approved a design system before they typed their first prompt. >Brand palette >type system >components the whole thing all set up. Only 1 of them named any of it in their opening prompt. That designer was the only one to finish production-ready. The other 4 assumed Claude would carry the system over. It didn't. TLDR: Claude doesn't reliably carry the design system you just approved. If you don't name it in the prompt, it doesn’t exist. It's never been a better time to be a designer, but you must learn the art of the prompt.

In our Anthropic Claude Design study, 5 designers approved a design system before they typed their first prompt. >Brand palette >type system >components the whole thing all set up. Only 1 of them named any of it in their opening prompt. That designer was the only one to finish production-ready. The other 4 assumed Claude would carry the system over. It didn't. TLDR: Claude doesn't reliably carry the design system you just approved. If you don't name it in the prompt, it doesn’t exist. It's never been a better time to be a designer, but you must learn the art of the prompt.

161,638 次观看

For Anthropic’s Claude Design, your opening prompt sets the ceiling of the project. If your prompt is a comprehensive brief, it will land somewhere near production-ready Seems obvious, but here is something interesting we observed: one designer wrote: >16 prompts >climbed in specificity over the session >and still finished worse than they started A single "reconsider" prompt at iteration 2 tanked output quality by -0.7 and the session never recovered. 2/3 of every prompt typed across all 5 sessions was refinement or correction. TLDR: Your first move is the whole game. and prompting is an art. What a time to be alive.

For Anthropic’s Claude Design, your opening prompt sets the ceiling of the project. If your prompt is a comprehensive brief, it will land somewhere near production-ready Seems obvious, but here is something interesting we observed: one designer wrote: >16 prompts >climbed in specificity over the session >and still finished worse than they started A single "reconsider" prompt at iteration 2 tanked output quality by -0.7 and the session never recovered. 2/3 of every prompt typed across all 5 sessions was refinement or correction. TLDR: Your first move is the whole game. and prompting is an art. What a time to be alive.

226,570 次观看

For Google Gemini, your prompt is the difference between Client V1 and Production Ready. We observed 10 designers going through a real world campaign workflow: >Hero stills >Social cuts >Secondary assets total: 29 deliverables. Only 24% were "Production Ready" And they all wrote prompts the same way. Below are the prompts and outputs 👇⬇️

For Google Gemini, your prompt is the difference between Client V1 and Production Ready. We observed 10 designers going through a real world campaign workflow: >Hero stills >Social cuts >Secondary assets total: 29 deliverables. Only 24% were "Production Ready" And they all wrote prompts the same way. Below are the prompts and outputs 👇⬇️

17,830 次观看

Can Adobe Firefly's "Edit" feature compete with Photoshop? Select a region, describe the fix, keep the rest of the frame intact. That's the pitch. Here’s what we observed across 4 sessions and 8 targeted edits with real working creatives: >1 edit landed cleanly 🥇 >5 landed partial 🥈 >2 missed entirely ❌ Firefly understood the request almost every time, it just couldn't hold the rest of the image still while executing it. Avoiding drift is hard. In the partials, the target moved but something else broke. >A product lost prominence / focus >A shadow stayed broken >A new artifact appeared on the wall while the format crept closer to the brief Social was the hardest category. 0 clean wins across 4 attempts. With social content, crop, pose, and product placement ARE the deliverable, so any drift fails the job. TLDR: Firefly can edit like Photoshop, but avoiding drifts is the real challenge. I personally use this feature a lot, how have you solved for this ?

Can Adobe Firefly's "Edit" feature compete with Photoshop? Select a region, describe the fix, keep the rest of the frame intact. That's the pitch. Here’s what we observed across 4 sessions and 8 targeted edits with real working creatives: >1 edit landed cleanly 🥇 >5 landed partial 🥈 >2 missed entirely ❌ Firefly understood the request almost every time, it just couldn't hold the rest of the image still while executing it. Avoiding drift is hard. In the partials, the target moved but something else broke. >A product lost prominence / focus >A shadow stayed broken >A new artifact appeared on the wall while the format crept closer to the brief Social was the hardest category. 0 clean wins across 4 attempts. With social content, crop, pose, and product placement ARE the deliverable, so any drift fails the job. TLDR: Firefly can edit like Photoshop, but avoiding drifts is the real challenge. I personally use this feature a lot, how have you solved for this ?

13,062 次观看

We benchmarked @openai’s ChatGPT Images 2.0 against the top image models. It won everything. Then we asked the harder question: can brand designers really ship with it? Here's where the model breaks.

We benchmarked @openai’s ChatGPT Images 2.0 against the top image models. It won everything. Then we asked the harder question: can brand designers really ship with it? Here's where the model breaks.

30,693 次观看

We ran a blind head-to-head on the leading image models for one specific job: >product detail shots. Seedream 5.0 Lite (BytePlus, ByteDance) beat the flagship models from Google, OpenAI, and Black Forest Labs. It won 2 out of 3 times.

We ran a blind head-to-head on the leading image models for one specific job: >product detail shots. Seedream 5.0 Lite (BytePlus, ByteDance) beat the flagship models from Google, OpenAI, and Black Forest Labs. It won 2 out of 3 times.

25,927 次观看

Wow, killer work from the Krea team 👀 Krea 2 Large is the #2 style-transfer model, already closing in on GPT Image 2. Average Style Fidelity gap from Krea's latest model to OpenAI's GPT Image 2: 0.14 points. Gap from Krea to the rest of the field: more than 4x larger. Full study below.

Wow, killer work from the Krea team 👀 Krea 2 Large is the #2 style-transfer model, already closing in on GPT Image 2. Average Style Fidelity gap from Krea's latest model to OpenAI's GPT Image 2: 0.14 points. Gap from Krea to the rest of the field: more than 4x larger. Full study below.

19,840 次观看

Convergence on quality, divergence on taste. >Across our Contra Labs benchmark >12 frontier models from OpenAI Google DeepMind Black Forest Labs ByteDance >across 5 creative domains ~15,000 evaluator judgments this theme dominated.

Convergence on quality, divergence on taste. >Across our Contra Labs benchmark >12 frontier models from OpenAI Google DeepMind Black Forest Labs ByteDance >across 5 creative domains ~15,000 evaluator judgments this theme dominated.

16,690 次观看

"Spotify Wrapped" was built with Rive. LinkedIn's "Year End Review" was built in Rive. The UI inside of every BMW is built with Rive. And now, Rive just launched Scripting! Want to try it out, and win $5k? Today we are launching the "Scripting with Rive" challenge on Contra. What are you going to build ?

"Spotify Wrapped" was built with Rive. LinkedIn's "Year End Review" was built in Rive. The UI inside of every BMW is built with Rive. And now, Rive just launched Scripting! Want to try it out, and win $5k? Today we are launching the "Scripting with Rive" challenge on Contra. What are you going to build ?

32,885 次观看

oh my 🚨 FLORA © x Contra

oh my 🚨 FLORA © x Contra

12,098 次观看

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