Editorial standards
How ThinkShift earns a place in your work.
Our standard is not that a page exists or sounds certain. It must help a capable person do a real task better and understand what still needs human review.
Useful before exhaustive
Every issue should name the work moment, explain the shift, show an example, and leave one reusable artifact. We avoid publishing near-duplicate pages merely to target more keywords.
Original value
Search summaries can repeat public facts. ThinkShift should add a tested workflow, decision rule, original framework, real comparison, template, or clear synthesis. Commodity recaps do not clear the bar.
Sources and evidence
Changing claims about AI products, search systems, security, policy, law, or performance should use current primary sources when available. The visible page should distinguish sourced facts from editorial judgment and examples.
AI assistance
AI may help organize research, test a draft, create variants, or identify missing questions. A human-approved editorial system remains responsible for scope, source checking, factual accuracy, usefulness, and publication. We do not publish unreviewed output at scale.
Safety and boundaries
Advice should use the least sensitive context needed and remind readers to follow employer rules, contracts, consent requirements, and professional review standards. Consequential legal, financial, personnel, medical, or safety decisions require qualified human review.
Freshness
Durable work methods receive a review date. Tool-specific and policy-sensitive pages require more frequent review. A changed review date must mean the page was actually checked.
Corrections
Material errors should be corrected promptly. When a correction changes the meaning of a recommendation, the page should say what changed. Readers can report an issue through the contact page.
Last reviewed: 2026-09-02.
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