Editorial Policy

FlowHat Blog publishes practical analysis about LLMs, AI agents, coding tools, and software workflows. This policy explains how the site chooses topics, uses sources, handles AI assistance, and avoids low-value search-first content.

Purpose

The site is written for readers who want to understand how AI tooling changes real development and technical operations. A publishable article should help a reader make a better decision, understand a tool's tradeoffs, or see how a workflow fits into the broader agent ecosystem.

What we publish

• Explanations of LLMs, AI agents, coding agents, skill systems, subagents, and workflow tools.
• Analysis of official product releases, documentation, repositories, and technical changes.
• Practical guides that add judgment, examples, or workflow design instead of copying documentation.
• Comparisons that clarify fit and tradeoffs rather than forcing a shallow winner.

What we avoid

• Mass-produced pages created only to target search queries.
• Copied documentation, scraped summaries, rewritten feed items, or unexplained press-release recaps.
• Keyword stuffing, hidden text, doorway pages, link schemes, or pages that promise functionality they do not provide.
• Affiliate-first or advertising-first pages without independent editorial value.
• Invented tests, invented benchmarks, fake case studies, or unsupported product claims.

Sourcing standards

Primary sources are preferred: official documentation, release notes, company posts, repositories, model cards, papers, changelogs, and product pages. Secondary reporting and community discussion may be used for context, but they should not replace primary evidence when a factual claim depends on it.

Articles should separate what a company officially claims, what third parties report, and what FlowHat Blog interprets. When a post relies on specific sources, references should remain visible to readers in the article body or reference section.

AI assistance

FlowHat Blog may use AI tools for research organization, drafting support, translation, editing, and technical checks. AI assistance is not a substitute for editorial responsibility. Posts should be reviewed for accuracy, source visibility, structure, and practical value before publication.

Multilingual posts may be derived from an English canonical draft, then edited so the Korean and Chinese versions preserve the same argument and source trail. Translated pages are intended for readers in those languages, not as doorway pages for search manipulation.

Corrections and updates

AI tooling changes quickly. Articles may be updated when products change, links move, facts become outdated, or a clearer explanation becomes available. Readers can request corrections through the Contact page.

Last updated: May 18, 2026