Terahertz exists to help readers understand AI agents, multi-agent systems and the agentic AI revolution. Trust is the foundation of that mission. These Editorial Guidelines describe the standards we follow when creating, reviewing and updating content on therahertz.com.
Accuracy
Accuracy comes first. Every article aims to explain concepts correctly, describe technologies fairly and avoid overstating what AI systems can do today.
- We distinguish clearly between established facts, emerging trends and informed opinion.
- We avoid hype, sensational claims and unsupported predictions.
- We do not invent statistics, quotes, people or case studies.
- We describe limitations, risks and trade-offs alongside benefits.
Because agentic AI changes quickly, we review important articles periodically and update them when tools, capabilities or best practices shift.
Sourcing
When our content relies on specific facts, research or product details, we draw on credible sources such as official documentation, peer-reviewed research, reputable technical publications and public statements from the organizations involved.
- Where practical, we link to primary sources so readers can verify information themselves.
- We favor original documentation over secondhand summaries.
- When information is uncertain or disputed, we say so.
Corrections
We make mistakes occasionally, and when we do, we fix them promptly and transparently.
- Factual errors are corrected as soon as they are verified.
- Significant corrections are noted on the affected page so readers understand what changed.
- Minor fixes, such as typos or broken links, may be made without a note.
If you spot an error, please email contact@theraherts.com or use our Contact Us page. Include the page URL and a short description of the issue.
AI-Assisted Content Transparency
As a publication focused on artificial intelligence, we believe in using AI responsibly and being open about it. The Editorial Team may use AI tools to support research, outlining, drafting, editing or summarization.
When we do, the following principles apply:
- Human oversight. Every piece of content is reviewed, edited and approved by the Editorial Team before publication.
- Fact-checking. AI-assisted drafts are checked for accuracy, as AI tools can produce errors or outdated information.
- Accountability. The Editorial Team takes full responsibility for everything published on the Site, regardless of the tools used.
- Originality. We aim to publish original explanations and analysis, not unedited machine output.
Clarity and Usefulness
Accurate content still needs to be useful. We write for a broad audience that includes business leaders, product teams, developers and curious readers, so we aim to make every article easy to follow without oversimplifying it.
- We define technical terms when they first appear and avoid unnecessary jargon.
- We use clear headings, short paragraphs and practical examples to make ideas easy to scan and apply.
- We focus on what readers can actually do with the information, such as how to evaluate an agent, where it fits in a workflow and what questions to ask before adopting it.
- We keep related articles connected so readers can move naturally from fundamentals to more advanced topics.
Independence
Our editorial decisions are made independently. Terahertz offers an AI generator and platform tools, and when our own products are mentioned, we make that relationship clear.
- Coverage of third-party tools, frameworks or companies is not influenced by commercial relationships.
- Mentions of third-party products do not imply endorsement unless explicitly stated.
- Any sponsored or partner content, if published, will be clearly labeled as such.
The Editorial Team Byline
Content on Terahertz is published under the Editorial Team byline. This reflects the collaborative way our articles are produced: research, writing, review and updates are shared responsibilities, and the team stands collectively behind every piece.
The byline also signals a single, consistent standard of quality and accountability across all of our sections, including AI Agents, Multi-Agent Systems, Agentic AI and our Blog.
Feedback
We welcome feedback on our content and these guidelines. To learn more about who we are and why we do this work, visit our About Us page.
