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Reglynn turns the EU AI Act into a decision you can act on.
Most founders don't ignore the AI Act โ they can't tell whether it applies to them. Finding out costs โฌ300/hour, and free tools hand you a risk tier with no reasoning behind it.
Reglynn asks 32 questions about what your AI system does, who it affects and how it's governed, then produces a structured gap report against the current text of Regulation (EU) 2024/1689, as amended by the June 2026 Omnibus.
What the report covers
What it isn't
A structured self-assessment โ not certification, not legal advice. Reglynn is not a notified body. The report tells you where you likely stand and exactly what to verify with a qualified advisor, so that conversation starts at question 10 instead of question 1.
How it's made Your answers are analysed by an AI system against Reglynn's own question set and risk logic, then reviewed before delivery. Reglynn is itself a Limited Risk AI system under Article 50, and publishes its own self-assessment at reglynn.eu/our-ai-act-status.
One-time payment. No subscription, no account, no sales call.
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Reglynn.eu's answer:
Three things. It uses the correct post-Omnibus deadlines โ 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.
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 โฌ300/hour. Reglynn gives you a dated, structured document you can put in front of an enterprise procurement team โ once, for โฌ59.
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.
Reglynn.eu's answer:
Founders, product managers and operations leads at EU or EU-serving companies with 5โ50 people who ship an AI feature โ 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.
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 โ 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 โฌ300/hour behind finding out.
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.
Reglynn.eu's answer:
Reglynn launched in August 2026 and doesn't publish customer names. Buyers are typically 10โ50 person AI companies responding to an enterprise procurement or due-diligence request.
Based on our record, VS Code seems to be more popular. It has been mentiond 1215 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.
Visual Studio Code, a code editor created by Microsoft, was first introduced on April 29, 2015, at the Build conference. - Source: dev.to / about 1 month ago
The step up from there is an editor with a built-in agent like Cursor, Google Antigravity, Windsurf, or VS Code with a coding extension. These are code editors with an AI agent living inside them, and the difference is the responsible party for getting things from place to place. Instead of the software creator shuttling code between windows, the AI agent edits the project files directly and runs the GitHub and... - Source: dev.to / about 2 months ago
For IDE-heavy teams, BYOK (bring your own key) can be interesting, no matter whether you live in WebStorm or VS Code. On the JetBrains side, the JetBrains AI plans and Junie BYOK docs allow it, and most VS Code AI extensions offer the same idea: keep the IDE, connect provider keys, pay the provider. - Source: dev.to / 3 months ago
Option 1: Raw editing in IDE. You open the .md file in VS Code or whatever you use. Syntax highlighting shows you the structure. Maybe you toggle a preview pane. This works for quick edits but becomes painful for anything involving tables, diagrams, or complex formatting. - Source: dev.to / 3 months ago
You'll need Python 3.8+ and pip for the quickstart, with venv recommended for isolation. Install the requests library for HTTP calls. VS Code with the Python extension works well as an editor, though PyCharm or Sublime Text work equally well. You'll also need a free Foxit developer account. - Source: dev.to / 3 months ago
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