
Mirrors - Test AI Agents Against a Mirror of Production
用生产追踪镜像来测试AI代理,捕捉错误和性能回归。
aisinghal
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用生产追踪镜像来测试AI代理,捕捉错误和性能回归。
aisinghal


AI工具,通过分析会议记录检测范围蔓延,为代理商和自由职业者标记风险。
@theshaunak_twit · X

用AI驱动的投资工具分析股票,包括DCF模型和选股器。
@StephanInvests · X
Building a financial saas at the lowest price for people to put more towards their financial goals

AI驱动的交易策略研究、回测和自动化平台,无需编码。
u/person-person12 · Reddit
The honest reality: Building more SaaS features can do more harm than good Nine months ago, my SaaS was called WealthLearn . At the time we had built Market Research, Backtesting, AI Tools, TradingView Indicators, Portfolio Analysis, Broker Connections, Automation, Education, and even a separate Futures Application for MacOS/Windows. The problem was that every time I explained the company, I had to list all of those things. Our team understood how everything connected b

为LLM输出提供token级引文API,通过注意力分析验证。
apoorvumang · HN
TokenPath – token-level citations for LLM output, read from attention

用AI生成查询并自动验证数据的分析工具。
u/PotatoRamen72 · Reddit
i built analytics that can prove its own numbers, launching on PH tomorrow https://reddit.com/link/1v8gwk2/video/uu52hn1rwufh1/player every analytics tool now has an AI layer that will generate a query and hand you a confident number. none of them let you check it. that bugged me enough to build the alternative. you ask in plain english, but it only ever runs deterministic reports, never a generated query. and there is a CI test that fails the build if the dashboard, the API and the MCP

分析网站是 AI 生成还是手工编码,评分 0-100。
@mukparekh · X
I built tool for fun. roast website Free. No signup

将英文转换为Excel/Google Sheets公式,分析数据并导出报告。
@ExpressSheet · X
Upload a spreadsheet. Ask questions in plain English. Get insights, charts, and a polished PDF report back. ExpressSheet is like having a data analyst on call, 24/7. Start free:

由AI驱动的代码审查工具,在microVM中运行代码来捕获更多错误。
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db

追踪 AI 行业关键变化与证据支持的趋势。
barretlee · GitHub
agent-pulse Evidence-backed AI industry intelligence — trends, source updates, daily data refreshes, and weekly decision briefs.

分析Reddit和GitHub讨论为产品决策生成客户洞察的AI平台。
@Tweet2Tusharr · X
hey everyone 👋 we've been working on something over the last few weeks around customer research. we'd genuinely love if you could spend 5 minutes trying it and tell us what we're getting wrong.