
Aurora — Glass-Box Quantitative Intelligence | Local AI Verification Cortex
Aurora - 本地AI代理验证系统,提供透明的推理过程和MCP集成。
brandon_grutkowski · Product Hunt
Aurora Glass-box Quantitative AI for Humans and Agents
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Aurora - 本地AI代理验证系统,提供透明的推理过程和MCP集成。
brandon_grutkowski · Product Hunt
Aurora Glass-box Quantitative AI for Humans and Agents

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

从上市公司财报电话会议生成AI摘要和分析。
@thatmarkzhong · X

Whetstone 将 AI 候选方案与基准对比,否决回归并返回可审计的决策。
@JustinGarr90748 · X
We're building Cyberelf labs because a better score doesn't mean a better model.

与AI对话,查看置信度评分和完整推理过程
u/RayanBuilds · Reddit
I’m 18 and built an AI chat app solo. Tear it apart (brutal feedback welcome) Built this solo this year at 18. It’s called Veris, an AI chat + writing assistant. I know, “another chatbot” 😭. So I gave it stuff the big ones don’t. Favorite feature: upload an image and pick a mode: Normal (it analyzes it) or Debate (it actually argues with you about it). Not selling anything. I just want to know: what would an AI have to do for you to use it daily? submitted by

为人类和AI代理记录和检索决策,追踪完整来源。
@burn2delete · X

向Claude、GPT和Gemini提问,获得它们相互审核的共识答案。
@StevenJdotCom · X
One AI makes mistakes. Three catch each other's. AI Consensus runs your prompt through Claude, GPT and Gemini. They work it independently, then critique each other until they reach consensus — handing you an AI audited, combined answer.

将商业问题转化为公司简案和可执行建设计划的AI原生操作系统。
@MarkZofMarkZ · X
- in process of updating it currently, making it better. How about you? What are you building?

聚合并查看来自AI代理的上下文丰富的交互式简报。
flysonic10 · HN
Meltbox – where your agents send you briefs

Contexi 用 AI 简报追踪 AI 更新、产品新闻和人物提及。
@Mileson07 · X
今天Codex、Claude Code 重置了吗? 我做了一个追踪的网站,每小时追踪 Tibo、Boris Cherny 两位主理人,以及对应的官方推特账号, 快速了解到,有没有可能重置,最近是不是已经重置了 而且还能详细看到历史的重置情况,分析未来的重置可能性,过去两周真是疯狂的重置~

对比和评估 AI 模型在编码、推理、代理和其他基准测试中的表现。
davidtsong · HN
Benchmarklist: track AI benchmarks (2.4k+), models, and capabilities

Etch: 追踪、重放和验证AI代理的决策,提供签名审计线索。
u/Funky_Chicken_22 · Reddit
OSS to SaaS positioning problem: when the user persona and the buyer persona are completely disjoint Founder here. Sharing a positioning problem I think a lot of OSS-to-SaaS founders hit and don't talk about publicly. Context: I have been running an OSS project (world-model-mcp) with ~2,500 monthly PyPI installs. Two weeks ago I opened up the hosted companion, Etch, at etch.systems. Launched publicly on Product Hunt at 12:00 PDT yesterday. The positioning problem: OSS user persona: in