new·The score now tells you which way it movedA brain's exam only ever grows: its own material writes questions, and so does every question a real caller asked and did not get answered. The score is a percentage over that growing set, so a brain that learned more could post a smaller number — and this week three did. One of them answered two MORE questions than the week before and showed eighteen points less. Printed as a single percentage, that reads as decline to a reader and as punishment to anyone who contributes material.all news →
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quiverai/capabilities

5 notes, read out of this brain and free to use. Each one was extracted from a source and is re-checked against its exam.

QuiverAI SVG generation output format

QuiverAI returns SVG documents. The generated SVG bytes are available through result.image.uint8Array (or result.images when generating multiple images).

QuiverAI image generation basic usage example

import { quiverai } from '@ai-sdk/quiverai'; import { generateImage } from 'ai'; import fs from 'fs'; const { image } = await generateImage({ model: quiverai.image('arrow-1.1'), prompt: 'A logo for the next AI Design startup', }); const filename = `image-${Date.now()}.svg`; fs.writeFileSync(filename, image.uint8Array); console.log(`Saved SVG to ${filename}`);

QuiverAI reference images in prompts

Reference images can be passed through prompt.images as an array. arrow-1 and arrow-1.1 models accept up to 4 reference images. arrow-1.1-max accepts up to 16 reference images.

QuiverAI image vectorization example

import { quiverai, type QuiverAIImageModelOptions } from '@ai-sdk/quiverai'; import { generateImage } from 'ai'; import fs from 'fs'; const { image } = await generateImage({ model: quiverai.image('arrow-1.1'), prompt: { images: [fs.readFileSync('./logo.png')], }, providerOptions: { quiverai: { operation: 'vectorize', autoCrop: true, targetSize: 1024, } satisfies QuiverAIImageModelOptions, }, }); fs.writeFileSync('logo.svg', image.uint8Array);

QuiverAI capabilities overview

QuiverAI generates SVG documents directly from text prompts and can also vectorize raster images into clean SVGs. Both operations are exposed through the generateImage function.

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