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Research standards

Editorial Policy

Amalgama publishes practical guidance for people making real decisions about AI. This page explains how that work is researched, reviewed, and corrected.

What we publish

We focus on AI workflow automation, implementation economics, model selection, integration, and operational risk. Articles should help a reader make a clearer decision, not merely repeat product announcements or market hype.

Sources and verification

Product capabilities, prices, policies, and technical claims are checked against primary sources whenever possible, including vendor documentation, research papers, regulatory material, and direct product testing. Time-sensitive claims include a source date or a clear reminder to verify current terms.

Experience and judgment

Analysis is written and reviewed by Kirill Kiryushin, drawing on technology delivery, consulting, banking, industrial, and AI implementation experience. Opinions and estimates are identified as judgment rather than presented as settled fact.

Use of AI in publishing

AI tools may support research organization, drafting, editing, translation, data checks, and image production. A human reviews the final article, verifies material claims, selects sources, and remains accountable for what is published. We do not publish raw model output as expert advice.

Commercial independence

A vendor mention is not an endorsement. Paid or affiliate relationships are disclosed where they apply, and paid links are marked accordingly. Rankings and comparisons are not sold.

Updates and corrections

Material updates use a modified date in page metadata. If you find a factual error, broken source, or missing disclosure, email info@amalgama.online. Confirmed errors are corrected in the article rather than hidden in a separate note.

Last reviewed August 30, 2026