Review Standards

Different decision types need different safeguards. Money, career, and AI-at-work pages should not all be reviewed with the same standard, because the failure modes are different.

AI at work and job-risk pages

• Check employer-policy and confidentiality risk explicitly.
• Separate productivity upside from reputational downside.
• Avoid binary claims about automation where task-level analysis is more honest.

Career decision pages

• Model reversibility, runway, and timing before recommending large moves.
• Distinguish burnout, bad management, and true structural mismatch.
• Push readers toward lower-risk tests before irreversible decisions when possible.

Learning and skills pages

• Prioritize market utility and output over prestige or hype.
• Make sequencing clear so readers do not buy advanced paths before foundation work.
• Call out where credential value is overstated relative to real project work.

Money guides

• State clearly that the page is educational, not personal financial advice.
• Stress sequencing, downside protection, and behavioral durability.
• Avoid absolute recommendations where liquidity, tax, debt, or household context can change the answer.

Side hustles and business-model pages

• Push hard on validation, time-to-income, and execution friction.
• Separate audience-building upside from near-term cashflow reality.
• Do not let affiliate incentives or startup romance flatten the downside case.