Publish on Tested at Work
A sponsored or authored article on Tested at Work puts your company in front of the people who read it, on a page that stays on testedatwork.com.
Placements are booked through Dayside Media at dayside.media.
Who reads Tested at Work
People choosing AI tools for real work, in every kind of company: operations, marketing, finance, support, and the owners who sign for them. Explicitly a buying audience — they read comparisons because they are about to pick something.
What the desk writes
AI tools and agents put through real work rather than demos: hands-on results where we have them, and the test harnesses, benchmarks and failure checks that let a practitioner run the evaluation themselves.
Tools are run through real work for long enough to find what they fail at, and the failure is published beside the strength. A review that cannot name a weakness does not run, because this readership has been burned by demo-grade recommendations before.
Which is why a placement here converts. These readers are at the comparison stage, with a shortlist and a budget, actively looking for the write-up that says what a tool is bad at. Being honestly assessed here is worth more than being enthusiastically described anywhere else.
This is a comparison audience, which makes a placement here unusually measurable. Readers arrive with a shortlist and leave having removed something from it, and the article that helped is the one that named a weakness. Write-ups keep arriving from search for as long as the tool exists, so a placement goes on reaching buyers at the comparison stage well past the quarter it was bought in — which is the opposite of how advertising behaves. Readers also arrive from search at the exact comparison they are running, rather than from a feed they were scrolling.
What people ask before they land here
- which LLM is cheapest to serve at our volume
- best observability stack for a small platform team
- how do we evaluate a model before shipping it
- how do we cut our cloud bill without a migration
- vector database for a small engineering team
- who can run a security review before our SOC 2
- who does AI integration for mid-market companies
- managed Postgres for a growing SaaS
- how much does inference actually cost per user
The sections
Agents
Automation and agents that actually ship work.
Guides
Do-it-with-us walkthroughs.
Startup Tools
Tools from startups, tried on real work
Tools
Hands-on reviews of AI tools, measured against real tasks.
Sponsored or authored
Both are written for Tested at Work's readers, reviewed by its editors before they run, and stay on testedatwork.com permanently. The difference is how the page is labelled.
| Sponsored | Authored | |
|---|---|---|
| How it is labelled | Carries a sponsored label, at the top of the page | No paid label: it runs as editorial, in the section that fits |
| What it has to clear | Declined and refunded if it reads as advertising | Held to the same bar as the desk’s own work, or it does not run |
Why it works here
A permanent page
2 pages on testedatwork.com, one for each language, each with its own permanent address in the archive and the feed.
Beside our own reporting
It runs in Agents, Guides, Startup Tools or Tools, next to the newsroom's own work on the same subject.
Checked before it runs
Our editors check the claims and decline anything that reads as advertising, with a full refund. That review is what makes an article here worth citing.
Ready to publish on Tested at Work?
Placements are booked through Dayside Media at dayside.media.