AI quality control agent

Everything you publish, checked against the source every night.

An agent that audits your published content on a schedule, against a source of truth and rules you set, and repairs what drifts, with the repairs verified before they go live.

Built with Claude, Supabase, Vercel.

The situation you are probably in

Content decays where nobody is looking. Prices change, features change, the world changes, and page forty-seven still says what was true in January. At scale nobody can re-read everything, so errors are found by the worst possible reviewer: a customer, mid-purchase, quoting your own page back at you.

What we do about it

The agent runs at night. It checks what you have published against the source of truth you name, on rules you set, and flags what fails. Then it repairs: regenerating what is wrong, polishing what is weak, filling what is thin, with every repair verified against the same rules before it ships. The check and the fix are the same loop, which is what makes it quality control rather than a report about problems.

Typical engagement. Three to six weeks from scope to the nightly loop running over your content, then a monthly line to keep rules and sources current.

Where this already runs

Running nightly inside our learning product as a five-stage chain: difficulty recalibrated from learners' real answers, failures flagged on five written rules, faulty items regenerated, weaker ones polished and verified, and thin topics refreshed from the curriculum source. Hundreds of items are checked or repaired each night, and a person reads the summary, not the queue.

Most builds of this shape start with the two-week assessment: we map the process as it runs today, cost it, and write the scope. The fee is credited in full against the build.

Start with the two-week assessment

What you receive.

Concrete things, not outcomes on a slide. This list is the scope of the engagement.

  1. 1

    A nightly audit of your published content against a named source of truth

  2. 2

    Your quality rules written down, versioned, and applied the same way every night

  3. 3

    Repairs generated and verified against the rules before going live

  4. 4

    Anything the rules cannot settle parked for a person, never silently shipped

  5. 5

    A morning summary of what was checked, flagged and repaired

  6. 6

    The rules and the source list editable by your team

A good fit when

  • The content is too large to re-read by hand: hundreds of pages or items
  • A source of truth exists to check against
  • Being wrong in public carries a real cost in your market

The right starting point when

Not sure which of these is you? Describe the process and we will point you at the right one, on this page or another.

Price it before you commission it

Put the hours the task takes today, the salary of the person doing it and any quote you hold through the payback calculator. It shows the yearly saving, the payback period and the arithmetic behind both. Free, and nothing is stored.

Run the payback numbers

Things you can check.

Figures from our own systems that this service draws on. Each one names its source.

30+
jobs that run overnight so nobody has to remember to start them
3
live systems you can open and use before you hire us
9,000+
automatic checks that run before any change reaches a user

Every figure names its source. How we count. The investing system runs on a broker paper account, not real money.

Built this way for ourselves

Decifer Learning is a public product we run with the same method this service uses. Open it before you hire us.

Decifer Learning home page: a parent's view of a child's progress through the UK curriculum.

Decifer Learning

Learning intelligence

Beta

Decifer Learning is a guided companion for the UK National Curriculum. Children learn, practise and quiz through each topic while parents see real progress.

Open Learning

Make the next AI project one the business can measure.

Thirty minutes with the founder, no slides. You will know what the right solution looks like, what it would take to build, what it should return, and which part to start with.

Replies come from a named person in Dubai within one working day.