
Aurora — Glass-Box Quantitative Intelligence | Local AI Verification Cortex
Verify AI agent decisions locally with transparent reasoning and MCP integration.
brandon_grutkowski · Product Hunt
Aurora Glass-box Quantitative AI for Humans and Agents
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Verify AI agent decisions locally with transparent reasoning and MCP integration.
brandon_grutkowski · Product Hunt
Aurora Glass-box Quantitative AI for Humans and Agents

AutoDocParse extracts structured data from invoices, receipts, and business documents with AI confidence scoring, review queues, webhooks, and team workspaces.
@robingeekydev · X
I'm a solo dev and I just launched something I'm genuinely proud of 🧵 — AI document parsing with confidence scores Here's the problem it solves: Every day, finance & ops teams manually re-type data from invoices, receipts, and purchase orders. It's slow. It's error-prone. And it scales terribly. AutoDocParse lets you: → Upload any business document → Get structured data extracted by AI instantly → Review only the fields the AI isn't sure about → Push data anywhere via API or webhook Built this as a solo dev. Would mean the world if you tried it 🙏 👉 — 20 free parses/month

Verify an AI agent's decisions and test tampering with the verification records.
foh_quarters · HN
Verify what an AI agent did, then tamper with the record (no signup)

Chat with an AI that explains its confidence in every answer with full reasoning.
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

Give AI agents persistent memory and evidence-based grounding to prevent false claims.
felipemayamuniz · HN
AletheionAGI – Grounding enforcement for AI agents

Document processing layer for AI agent integrations.
dvcoolarun · HN
Solve your document workflows with AI agents

Compare and evaluate AI models across coding, reasoning, agents, and other benchmarks.
davidtsong · HN
Benchmarklist: track AI benchmarks (2.4k+), models, and capabilities

Build and deploy AI agents, workflows, and knowledge bases on your chosen models.
@pedrolivaresan · X

Check OpenAI-compatible API endpoints for model quality issues, degradation, and wrapping risks.
AI快站模型质量检测 — 面向 OpenAI Compatible 接口的网页检测工具,输入公开 HTTPS 地址和临时 API Key,可检查模型声明、Token、动态题、SSE 与工具调用并生成分项报告;密钥仅用于当次检测,不写入数据库、缓存或日志

Scan AI prompts and endpoints for vulnerabilities, then monitor LLMs in production for security and compliance.
@CognisafeUK · X

Deterministic MCP tools for AI agents: EU AI Act and GDPR/CCPA checks, trust scoring, verification. Free tier, no key required — same input, same answer.
Atomadic · HN
Atomadic – Zero-LLM Sub-200us MCP Action Interlock

Analyze form submissions and create charts with AI-powered insights.
aytekintank · Product Hunt
Jotform AI Data Assistant Turn form data into insights and action with AI