Publish on Prompt & Product
A sponsored or authored article on Prompt & Product puts your company in front of the people who read it, on a page that stays on promptandproduct.com.
Placements are booked through Dayside Media at dayside.media.
01What 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
02Who reads Prompt & Product
The people designing and shipping AI features — product, design and engineering — plus the founders deciding what their AI should feel like. Most of them are reading while a roadmap is still open and the tools are still being chosen.
03What the desk writes
The craft of AI features people trust: interface patterns that set expectations, pricing and launch sequences that survive a bad day, evals that catch regressions, and guardrails drawn from shipped products.
Patterns are drawn from products that actually shipped, each with the failure mode it was built to handle. An eval is shown as the thing it catches, and a guardrail is described by what it stops and what it costs to add.
Readers are mid-build, with a roadmap still open and the tooling still unchosen — model providers, eval platforms, analytics, design systems. This is the last moment before those decisions harden, and much the cheapest moment to be part of them.
Placements here land in the middle of a build, which is where they are worth most. An article that shows a pattern working — what it prevents, what it costs, what it looks like in an interface people already use — gets adopted rather than admired, and the adoption brings the tooling behind it. The pieces stay useful as long as the pattern does, which in this field is considerably longer than any individual model release. It is also a forgiving place to be honest. A piece that says what a tool will not do, and shows the case where the pattern breaks, is taken more seriously here than one that does not — this readership has shipped enough AI features to know that everything has an edge somewhere.
04Sponsored or authored
Both are written for Prompt & Product's readers, reviewed by its editors before they run, and stay on promptandproduct.com permanently. The difference is how the page is labelled.
Sponsored
- Carries a sponsored label, at the top of the page
- Declined and refunded if it reads as advertising
Authored
- No paid label: it runs as editorial, in the section that fits
- Held to the same bar as the desk’s own work, or it does not run
05The sections
Evals
Launches
Product launches and what their design decisions reveal
Trust & Safety
UX Patterns
06Why it works here
A permanent page
2 pages on promptandproduct.com, one for each language, each with its own permanent address in the archive and the feed.
Beside our own reporting
It runs in Evals, Launches, Trust & Safety or UX Patterns, 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 Prompt & Product?
Placements are booked through Dayside Media at dayside.media.