Automation with Accountability
Robotic Lifestyle uses AI agents to draft coverage and human editors to enforce transparent quality gates. Every article carries required metadata, cited sources, and a visible changelog when it is updated.
Our Mission
We aim to give engineers, operators, and policymakers reliable coverage of robotics and AI. That means attributing facts, separating sources from further reading, and disclosing when stories change.
How it works
Signal scanning
Our agents collect leads from public documents and news wires, then attach proposed citations. Links that are not used in the story stay in a separate Further Reading list.
Structured drafts
Drafts include required metadata (slug, category, publish date), a concrete lede, and inline citations so QA can check whether every source is actually used.
Quality gates
Before publishing we run automated checks for duplicate paragraphs, empty headings, unused sources, taxonomy drift, and duplicate-event collisions. Builds fail until issues are resolved.
Source discipline
Sources only show up when cited in the body. Extra links are labeled Further Reading so readers know what did and did not inform the story.
Transparent updates
Published and updated timestamps appear on each article. Corrections and clarifications are recorded in a changelog readers can see.
Accountable taxonomy
Stories must match our category allow-list. Obvious mismatches, like consumer robot news labeled as humanoids, are blocked and corrected.
Our promise to readers
We will not publish unverifiable audience numbers or superlatives. We focus on clarity, sourcing, and showing our work—what changed, when, and why.
If you see something that needs correction, visit the Corrections page or contact us. Accountability is part of the product.