AI coding tools ship fast. notiduck is the feedback loop after the deploy: it checks whether the live site follows industry standards, performs well under real conditions, and has a public structure and interfaces that automated tools can inspect. Read the machine-readable result, make the next change, and revisit the same URL.
Full Lighthouse audit with LCP, CLS, TBT, FCP - the metrics that affect your users and your rankings.
Does your site have an llms.txt? Are your forms machine-readable? Can automated tools inspect and interact with your public interfaces?
Valid certificate, no expiry surprises, proper domain setup. The basics your AI coding buddy probably forgot.
Google's ranking signals. If your AI-generated site has bloated JS or unoptimized images, we will tell you.
SEO basics, canonical URLs, redirect chains, accessibility tree integrity. Not fluff, the stuff that matters.
Your site checked from France, Finland, and Canada. One bad geo does not mean your site is down. We validate first.
Every check produces a live, machine-readable share URL that any AI agent or tool can read directly. Give the URL to your coding agent, review or ship the changes it suggests, and check the same URL again. The URL reflects the latest completed check, without screenshots or copy-paste. After the next check runs, revisit it for the current result.
Your site is monitored continuously, so the link reflects the latest completed performance data, Lighthouse scores, and health checks. It is not a one-time snapshot: after notiduck runs the next check, the same URL shows that completed result.
Your coding agent reads the raw data directly and sees the latest check result, what failed, and where to look next. You decide which changes to make; the report keeps the context intact.
After a change is deployed, wait for the next check to complete, then revisit the same link. The current scores will be there for your agent and team to review. The loop closes: code, deploy, verify, repeat.
notiduck validates quality, performance, and whether automated tools can inspect the public site's structure and interfaces. It is not a penetration testing tool. We do not scan for vulnerabilities, check for SQL injection, or test authentication systems. If you need security validation, look elsewhere. If you need to know whether your site actually works and will be found by AI agents, you are in the right place.
notiduck uses no LLMs in its verification pipeline. It runs rule-based checks over observable public signals: HTTP, DNS, TLS, timing, Lighthouse, page structure, metadata, accessibility, and machine-readable interfaces. Results reflect network, browser, and page state at check time. It does not measure training data, rankings, mentions, or citations.
Because generation speed has nothing to do with the deployed result. AI tools produce what you asked for, but they cannot see every real-world response, Lighthouse signal, or domain setting. notiduck gives your agent and your team evidence about what the prompt missed.
Yes. Every AI coding tool emits the same kind of output: HTML, CSS, JS, meta tags. notiduck validates the result, not the tool. If your site has a URL, we can check it.
The hardest thing about vibe coding is that it looks right on your machine. Under real network conditions from different continents, with Lighthouse running the full audit suite, that is where the cracks show. Bloated bundles, missing meta tags, broken canonical URLs, CLS from AI-generated CSS that looked fine in dev.
One deployed URL. Three-location verification, a full Lighthouse audit, and an AI-readiness check, then a live report you can revisit after the next deploy.
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