---
title: You Could Build It. Should You?
description: "\"Our engineers say they could build this in a year. Are they wrong?\""
url: https://www.artificialpoets.com/platform/recommendation-engine/
site: Artificial Poets
type: page
date: 2026-08-09T06:31:06+00:00
modified: 2026-08-22T08:10:09+00:00
---
# You Could Build It. Should You?

## Buy the recommendation engine. Build what makes you different.

Every publisher's engine has the same four parts. We ship all four in eight weeks, so your team stays on your product.

![Horse & Rider](https://www.artificialpoets.com/wp-content/themes/a13s/assets/vendor/horseandrider.svg?v=0de6d7ec)

![Ride TV](https://www.artificialpoets.com/wp-content/themes/a13s/assets/vendor/ridetv.svg?v=b8d2f563)

![Equine Network](https://www.artificialpoets.com/wp-content/themes/a13s/assets/vendor/equinenetwork.svg?v=013ff1c2)

![Equus Magazine](https://www.artificialpoets.com/wp-content/themes/a13s/assets/vendor/equus.svg?v=93773edb)

![The Score](https://www.artificialpoets.com/wp-content/themes/a13s/assets/vendor/thescore.svg?v=1cb7bf6a)

![Equine Network Lockup](https://www.artificialpoets.com/wp-content/themes/a13s/assets/vendor/equinenetworklockup.svg?v=0724dc4c)

## The model is one part of four

What you are actually buying

Teams budget for the part they can picture. The model is real work and it is the smallest piece. Underneath all four parts sits the same foundation: scaling, uptime, monitoring, and one person who owns it for years.

- **The model** The part you costed. Training, evaluation, tuning against your own archive. Two engineers can do this. It is the only piece of the four that feels like the interesting problem.
- **The event pipeline** Every view, scroll and click, collected, cleaned and kept in order. When it breaks on a Sunday the recommendations go stale quietly. Nobody notices for a week, and by then you cannot tell which days of training data to throw away.
- **The serving layer** An answer in under 100ms, on every article page, on your worst traffic day. This is the part that pages someone at night. It has to stay up when a story breaks, which is exactly when it is hardest and matters most.
- **The editorial surface** Where editors pin, exclude and set rules. Skip it and your newsroom has no way to correct the machine, so the first bad recommendation ends their trust in it. This is the part teams cut for v1 and pay for later.

## Who owns this in year three?

The ownership test

- **A model gets worse on its own** It is trained on the archive as it was. Your archive keeps growing and your readers keep changing. Skip retraining for a quarter and the recommendations quietly get worse. There is no alert for this.
- **Hiring is the long pole** A machine learning hire takes three to four months to ship anything, on top of however long the search takes. That clock starts after you get the headcount approved, not when you decide.
- **There is no finish line** Retraining, drift monitoring and pipeline upkeep are permanent jobs. You are not approving a project with an end date. You are adding a standing line to payroll.

## What the eight weeks buys

Build vs buy

With Artificial Poets Platform you can see the results in just eight weeks.

- **Your engineers stay on your product** This is the real argument. Your team is good enough to build it, which is exactly why their time is worth more somewhere else.
- **A date you can put in a board deck** Eight weeks from authorisation to a measurable effect. We have run this on live publisher traffic and we will show you the ones that went slowly too.
- **The upkeep is ours** Retraining, drift monitoring and pipeline repair sit with us. If the model starts to degrade, noticing it is our job, and you never had to hire anyone to do it.
- **Numbers before you commit, not after** A build gives you nothing to look at until it ships. The first four weeks with us measure your baseline with nothing served, so the comparison is against your own traffic, not a model of it.
- **Editors keep the last word** Pin, exclude and set rules per section. When an editor overrules the system, the system stays overruled. You are not buying a black box you have to argue with.
- **Your data and your content stay yours** Reader profiles are anonymous and your behavioural data leaves with you. Ask us for the exit clause before you sign, not after. We will send it.

## What does another quarter cost you?

## Related

## See it running on your own numbers

We'll walk you through what the Platform does on titles like yours.

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