elixir
We don’t stop at go-live.
Is it up? Is it up to date? What quietly broke this week, and what could be better next month? Elixir asks those questions around the clock.
Nothing it writes stands unless the measurement behind it proves it. We read what comes back and step in when something needs a decision. You stop checking.
We measure with the tools the field itself trusts.
Not our opinion of your site. Nine independent sources, each the reference in its own corner. Whichever of them your stack has is asked every week and read against the same thresholds we use for the whole fleet — and then one of ours, which only checks that the sentence we wrote matches what they said.
- OSV.dev The open vulnerability database, for known holes in everything the project installs.
- gitleaks For keys and passwords left behind in the git history.
- GitHub Actions Whether the tests ran, and whether they were green on what actually shipped.
- Chrome UX Report What real visitors on real devices experienced, not a simulation.
- Lighthouse The lab counterpart, so a slow page can be diagnosed and not only reported.
- Search Console Whether Google has the page, under which address, and whether anybody arrives.
- RDAP and whois The registries themselves on who holds the name and when it lapses.
- Packagist and npm How far behind the foundations have fallen, straight from the registries.
- Laravel Nightwatch Where the app is Laravel: the errors your visitors actually hit in production.
- ProveML Ours, and the last one: every claim above is proved against its measurement before we read it.
Calling them is the easy part. The layer on top is where the work is: one set of thresholds for the whole fleet instead of a judgement per project, a measurement that says not measured rather than quietly reporting zero, and a sentence that cannot ship unless the data behind it proves it.
Every line below is a measurement with a date on it.
Checking by hand is expensive, so it quietly stops happening. Checking by agent costs almost nothing, so it happens every day.
while we build
- outdated software
- known weaknesses
- leaked passwords
- tests still pass
- test coverage
- builds passing
- code upkeep
- recent changes
- staging apart
after you go live
- is it up
- certificate valid
- domain expiry
- domain settings
- anything exposed
- security settings
- pages complete
- found by Google
- page speed
- search traffic
- link previews
- broken links
- cookie consent
- jobs on time
- work piling up
- server load
- backups
None of it reaches you unless it needs you. What is urgent leaves the moment it changes — once when it breaks, once when it is fixed, never on every round. The rest waits for Monday.
Built to our own standard.
The line runs between measuring and changing. Measuring never touches your project: it reads, and that is all. Changing is a separate act with its own gate — on a branch, only where a test can catch the agent being wrong, and always as a proposal you accept or drop. No tests, no automatic changes.
Inside that line we use AI as far as it goes, and we read everything it produces: our eyes on every finding that asks for a decision, and silence when silence is the news.
The rest you should not have to take on trust, and you don’t. Under every report runs ProveML, verification technology we built ourselves. Every claim — every number, every “all clear” — is bound to the measurement behind it and checked deterministically, with no model in the verification loop. If the data cannot prove a sentence, the sentence does not ship.
measuring never writes · changes only behind a test · every claim proven, deterministically · you stop checking