开发者工具1 month ago · 3 次试用
Lucid — Read the machine's mind
可视化语言模型在各层回答前的思考内容。
ada1981 · HN
I built a web tool to see and edit what an AI thinks before it answers
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可视化语言模型在各层回答前的思考内容。
ada1981 · HN
I built a web tool to see and edit what an AI thinks before it answers
AI fashion photography platform for e-commerce: model swap, flat-lay to on-model, garment recolor, and AI packshots, with pixel-perfect garment preservation.
@8DavideRighini8 · X
Rightsize OpenAI and Anthropic models. See what drives your AI bill, then validate cost-efficient model changes without rewriting your application.
@SpendLensAI · X
探索精选AI图像提示词库，包含模型适配指南和参考图像指导。
u/cankirkgoz · Reddit
I kept rewriting AI portrait prompts for every reference photo, so I built a tool for it Over the past few months, I’ve been experimenting a lot with realistic AI portraits, and I kept running into the same problem. Finding a good-looking result online is easy. Finding the prompt behind it is harder, but still possible. The real problem starts when you try to use that prompt with your own reference photo. Change the person, outfit, location, or number of people, and the pr
Independent model readings, explicit disagreement, human decision gates, and verifiable research receipts.
@chatmouthai · X
构建和改进 AI 提示词以获得更好的模型响应。
markquis91 · HN
Prompting Refinement Tool [requesting testing]
检查 AI 推理踪迹，评估模型真实性。
malik_dixon1 · Product Hunt
TraceLogicAI: AI Architecture Evaluation Compare AI architectures with evidence, not guesswork
使用自动化承保和敏感性分析来分析酒店投资。
u/Additional-Study2600 · Reddit
Yaay!!! I finally got some subscribers to my platform after 6 weeks… any growth tips? Hey yall I’m super excited because after months of vibe coding and sleepless nights learning about repos, PRs, branches and commits to main lol I finally have a product I’m proud of and my first real revenue! The platform is called Underwrote.AI. it’s B2B and it’s somewhat niche… it’s underwriting software for hotel acquisitions (think institutional-grade Excel models, generated from a guided workflow). O
Mount what your model was never trained on. Unmount it when you're done. Sealed, signed, measured knowledge packs for local models.
@developerpranab · X
YantrikDB: mountable knowledge for local models. A 4B scores 7/53 on the MCP spec published this week; 42/53 with the pack mounted. No retraining.
V2Fun：从图像或文本生成3D模型、角色和动画
zaczuo · Product Hunt
V2Fun Generate 3D character with 8K textures and AI motion capture
An LLM gateway for OpenAI, Anthropic, Google and Azure. Every request logged, priced to the token, and audited for waste you can actually recover.
@razdagan3 · X
让AI模型通过3D动画展现香蕉植物的完整生命周期来比较性能。
fran-mora · HN
I gave 5 AI coding agents one prompt: grow a banana plant through its whole life in three.js: sprout, leaves, flower, fruit, rot, then pups that restart the loop. It's deceptively simple and yet very hard to get right from procedural code: you have to write working three.js and understand how the plant is actually built; how it hangs, ages and decays. Get the biology wrong and the code renders something weird. These are agents, not bare models (Claude Code and Codex for now). They can use tools, including playwright to check their work and improve it.