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Self-serve EU AI Act compliance tools. Live now: the EU AI Act Article 50 Transparency Checker โ free and deterministic. Five plain-language questions, instant on-page result mapping your product to the exact Article 50 obligations and the August 2, 2026 enforcement date. No AI guesswork, no account, nothing stored. A starting-point diagnostic, not legal advice.
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ComplianceAgent's answer:
It is free, instant, and specific. Whole-Act scoping tools give you broad orientation; this checker goes deep on Article 50 transparency obligations specifically โ and gives you a written result you can keep. No account, no sales calls, nothing stored.
ComplianceAgent's answer:
Any organization that builds or deploys AI systems reaching users in the EU โ SMEs, law firms, agencies, healthcare, finance, manufacturing, nonprofits, and government contractors.
ComplianceAgent's answer:
Article 50 transparency obligations apply from August 2, 2026, and most scoping tools cover the whole Act at a shallow level. ComplianceAgent built a free checker that goes deep on Article 50 specifically: five plain-language questions, an instant deterministic result, and nothing stored.
ComplianceAgent's answer:
The checker is a single static page served from Cloudflare. Its logic is fixed rules in plain JavaScript โ no AI model, no backend, no database, no login.
ComplianceAgent's answer:
The checker is deterministic โ every answer maps to a specific paragraph of EU AI Act Article 50, so the article numbers and dates you see are looked up, not generated by an AI model, and cannot be fabricated. Five plain-language questions, instant on-page result. No account, nothing stored.
Based on our record, GitHub seems to be more popular. It has been mentiond 2466 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
// ==UserScript== // @name GitHub -> Obsidian Task // @namespace obsidian // @version 1.0 // @match https://github.com/*/*/issues/* // @match https://github.com/*/*/pull/* // @grant GM_setClipboard // ==/UserScript== (function () { 'use strict'; function getTitle() { return document.querySelector("bdi")?.textContent.trim(); } function copyTask() { ... - Source: dev.to / about 12 hours ago
Import requests From bs4 import BeautifulSoup From datetime import datetime Def fetch_github_trending(): url = "https://github.com/trending?since=daily" response = requests.get(url) soup = BeautifulSoup(response.text, 'html.parser') repos = [] for article in soup.select('article.Box-row'): repo_link = article.select_one('h2 a')['href'] stars_today =... - Source: dev.to / 1 day ago
Git clone https://github.com//.git /opt/app Cd /opt/app Docker build -t app . Docker run -d --name app --restart unless-stopped -p 8080:8080 app. - Source: dev.to / 5 days ago
The core of the ecosystem is the official open-source server hosted on GitHub. It is written in TypeScript and implements the full MCP specification. - Source: dev.to / 10 days ago
This is why the gate needs a trace it can trust, and why AgentLens is the other half of this workflow. agent-eval scores and gates the output; AgentLens captures the trace of how the agent got there โ every model call and tool step, the resolved inputs (not the templated ones), the raw outputs. That trace is exactly the unforgeable, agent-didn't-author substrate that Tier 1+2 need to score against. Without it,... - Source: dev.to / 10 days ago
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