Editorial Policy

Mission and topic selection

StackTower AI publishes practical guidance on AI learning paths, course and certification selection, and the working use of AI tools. We pick topics that meet three tests: a real reader question we have seen asked repeatedly, a primary source we can cite, and a recommendation we would defend to a friend. We avoid topics where the only available material is marketing copy from the vendor whose product we would be evaluating.

AI-assistance disclosure

Many articles on stacktower.ai are AI-assisted. A typical workflow uses a large language model for outlining, drafting, and summarization, followed by human editorial review against primary sources before publication. We do not present AI-generated text as the unaided work of a named human author, and we do not publish AI-generated photorealistic faces as if they were real people. Our author byline reflects this: posts are attributed to the StackTower AI editorial team editorial team rather than to fabricated personas.

Source citation standard

Course names, prices, durations, prerequisites, and certification requirements are taken from the issuer's official catalog or documentation page and linked at the point of claim. Time-sensitive figures (tuition, exam fees, pass rates, employment statistics) are dated in the surrounding sentence so readers can judge whether the figure is still current. When we summarize a study or report, we link the original document, not a third-party rewrite. If a primary source is paywalled, we say so.

Corrections procedure

If you believe an article on stacktower.ai contains a factual error, email hello@stacktower.ai with the page URL and the specific claim in question; a citation to the correct source is appreciated and speeds review. We aim to acknowledge correction requests within five business days and to publish substantive corrections within ten business days of confirmation.

Corrections are made in place: the article text is edited and a visible "Updated:" line is added or revised at the top of the page noting the date of the change. For material corrections that change the meaning of a recommendation, a short note describes what was changed and why. We do not silently rewrite published claims.

Update frequency

Evergreen course and certification guides are reviewed at least once every twelve months, and sooner when an issuer announces a curriculum, price, or eligibility change we are aware of. News-style posts are not auto-refreshed; they carry their original publication date. The most recent review date is shown at the top of each evergreen article.

Independence and conflicts of interest

StackTower AI editorial team does not accept paid placement, paid rankings, or "pay-to-be-included" arrangements in editorial content. Any affiliate relationship or sponsored placement is labeled at the top of the article and detailed on the disclosure page in line with FTC 16 CFR Part 255. Affiliate compensation has no influence over which courses, certifications, or tools we recommend; we have declined recommendations from programs that pay well and recommended programs that pay nothing when the underlying quality justified it.

Author attribution

Articles are published under the StackTower AI editorial team editorial team byline. This is a transparent collective credit: it acknowledges that drafting, editing, fact-checking, and publishing are a team workflow involving both human editors and AI assistance, rather than the work of a single named individual. We do not invent author names, photographs, or credentials. If a real subject-matter expert contributes a piece in their own name, their contribution and credentials are disclosed in the byline area.

Outcome claims

StackTower AI does not promise jobs, salaries, certifications, or learning outcomes. Career and education decisions depend on factors specific to each reader; we present options, costs, and tradeoffs and leave the decision to you.