Facet AI is an independent publication on applying AI to real analytics work, led by working data scientists, analytics engineers, and viz designers.
Facet AI is an independent publication about applying AI to data and analytics work. We cover the tools, prompts, and workflows that hold up in production, and we say plainly when they do not.
Analysts sit between messy source data and people who want fast answers. AI promises to close that gap, but most guidance skips the parts that actually break: schema drift, hallucinated metrics, and code that looks correct and returns garbage.
We publish hands-on walkthroughs, honest tool comparisons, and short reference pieces. Nothing is sponsored, and we test claims against real datasets before we make them.
Our contributors are working data scientists, analytics engineers, and visualization designers. Each section is led by someone who does that job, not a generalist writing from a press release.
The only frequently-changing data we publish is model API pricing, and we keep it in a single maintained table with a verification date and links to each provider's own pricing page. You can inspect the whole thing on the model pricing page. If the date there looks stale, treat the figures as indicative and check the provider.
Facet AI is free to read and supported by display advertising served through Google Ad Manager. Advertisers have no input into what we cover or what we conclude, we do not sell placement in any guide or in the tool picker, and no article is written or amended at an advertiser's request. Our editorial standards set out how we keep that line.
We are not affiliated with OpenAI, Anthropic, Google or any other AI provider. We are not a reseller or a consultancy. Nothing here is legal, financial, or professional advice — it is general information, and decisions with real money or real risk attached should involve someone qualified who knows your situation.
Corrections, questions and suggestions are all welcome at hello@wpkage.com, or via our contact page.