Reglynn.eu's answer

A static site on Netlify. Assessment through structured forms, with report generation via Anthropic's Claude API against Reglynn's own question set and classification logic. Delivery logging in Airtable. Analytics via GA4 with Consent Mode v2, denied by default.

CloudCLI's answer:

CloudCLI is built with a modern JavaScript/TypeScript stack:

• Frontend: React with Vite for fast builds, Tailwind CSS for styling, and CodeMirror for the in-browser code editor with syntax highlighting
• Backend: Node.js powering the server and session management
• Infrastructure: Docker for containerized cloud sessions, with support for self-hosting
• Mobile: A dedicated mobile app for managing sessions on the go

The entire codebase is open source under AGPL-3 and available on GitHub.

Reglynn.eu's answer

Free checkers give you a risk tier with no reasoning. Enterprise GRC platforms give you a subscription starting in the tens of thousands. A lawyer gives you an answer at €300/hour. Reglynn gives you a dated, structured document you can put in front of an enterprise procurement team — once, for €59.

It also works hard not to over-classify you. The report runs role, then GPAI, then the Article 6(3) exemption, then establishment, in that order, because assigning someone else's obligations to a deployer is what makes these tools useless.

CloudCLI's answer:

Compared to tools like GitHub Codespaces, CloudCLI is purpose-built for agentic development rather than traditional coding. Here's what sets it apart:

• AI-agent-first: While competitors give you a cloud IDE, CloudCLI gives your AI agents a persistent home in the cloud. Your agents keep working even when your laptop is closed.
• Open-source web UI and mobile app: No other CDE ships with both a browser-based UI and a native mobile app for managing sessions on the go. And it's all open source.
• Cross-device continuity: Start planning on your phone, continue in VS Code at your desk, or kick off from a Linear ticket. Your session context carries over seamlessly.
• Multi-agent support: Run Claude Code, Cursor CLI, OpenAI Codex, and Gemini CLI from one platform instead of managing separate setups.
• Affordable: Starting at €7/month for the managed service, or self-host for free with Docker.

Reglynn.eu's answer

Three things. It uses the correct post-Omnibus deadlines — most published guidance still carries the pre-June-2026 dates, which tells high-risk providers they're late when they aren't, and tells chatbot builders they have time when they don't. It runs the Article 6(3) exemption check, which almost no free tool does, so it won't tell you you're high-risk when the regulation says otherwise. And it publishes its own AI Act self-assessment, because Reglynn is an AI system under the regulation it assesses.

CloudCLI's answer:

CloudCLI is one of the only cloud development environments built specifically for AI coding agents. Where Codespaces and Gitpod give you a cloud editor, CloudCLI gives your agents a persistent home that stays alive 24/7. What makes it particularly valuable for teams: shared MCP servers and environment configs mean every developer starts from the same baseline. A full REST API means sessions can be triggered from automation tools, not just opened manually. Background agents can run overnight and produce PRs for review in the morning. And the entire platform is open source (AGPL-3) so teams can self-host on their own infrastructure.

Reglynn.eu's answer

Founders, product managers and operations leads at EU or EU-serving companies with 5–50 people who ship an AI feature — chatbots, generative products, scoring or ranking models, AI-assisted screening. Typically the trigger is an enterprise prospect's legal team asking for their AI Act position in writing, with a deadline attached. Not lawyers, and not enterprises with a compliance department.

CloudCLI's answer:

CloudCLI is built for engineering teams that use AI coding agents as part of their daily workflow. This includes teams adopting agentic development practices with tools like Claude Code, Cursor CLI, or Codex who need shared environments where MCP servers, context files, and configurations stay consistent across every developer. It also serves engineering managers looking to integrate AI agents into existing workflows through API-driven automation with tools like Linear, Jira, and n8n. Solo developers and open-source contributors who want persistent remote access from any device are also a core audience, along with organizations that need to self-host for data sovereignty or regulatory compliance.

Reglynn.eu's answer

After the June 2026 Omnibus, the coverage said "the EU delayed the AI Act." That's half true, and it's the reassuring half. High-risk obligations moved to December 2027 — but Article 50 transparency duties were never deferred, and regulators gained fining powers on 2 August 2026.

So the group with live obligations right now is precisely the group that read "delayed" and stopped paying attention. Reglynn was built to close that gap for companies that can't put €300/hour behind finding out.

CloudCLI's answer:

CloudCLI started as an open-source project to solve a problem every developer using AI coding agents hits: your agent ties up your terminal and stops working when your laptop sleeps. We built a cloud-native environment where agents run persistently, paired with an open-source web UI so anyone could manage sessions from a browser or phone. As teams started adopting it, the focus shifted to shared environments, where team-wide MCP servers, configurations, and context files could be maintained in one place instead of duplicated across every developer's machine. The project grew to 9,000+ GitHub stars organically with no marketing. Today CloudCLI offers both a free self-hosted option and a managed cloud service starting at €7/month.

Reglynn.eu's answer

Reglynn launched in August 2026 and doesn't publish customer names. Buyers are typically 10–50 person AI companies responding to an enterprise procurement or due-diligence request.