Useful advice needs
an honest label.
AI agents can sound finished before a merchant, account or payment system has changed. Our guides separate a plausible workflow from a demonstrated outcome.
A real problem and a checkable finish line
We select a task when a user can name the situation, the evidence needed before acting, a meaningful approval boundary and an observable result. We do not create separate pages simply because keyword tools produce variations. Near-duplicate queries belong on one useful URL.
Before publication, a task must state what the agent may prepare, what the user must decide, and what original account or external record can verify the outcome.
Four evidence levels
A researched procedure built from official capabilities and relevant original guidance. We have not run this particular agent task end to end.
A third party described a result in a linked, original public account. We did not independently confirm it.
We reproduced important steps in a stated test environment. That does not guarantee the same outcome for another user.
With permission, we checked case-specific evidence that the result actually occurred. It is still one case, not a success rate.
Most current ChatGPT dot and Meta Muse task guides are Guidance only. A page may carry a narrower Walkthrough tested label when its record names the exact path reproduced and clearly separates untested permissions, sources, schedules or outcomes. We do not invent savings amounts, claim a success rate, or imply that an official example or user report is our test.
Claims need a traceable record
A future walkthrough or verified outcome should record the product and access surface used, test date, region, starting state, redacted instruction, approval points, observed evidence, failure or limitation, and reviewer. Private account details must not be published. Without that record, the label stays at Guidance only.
The same principle applies to completion: an agent statement is weaker than a provider confirmation, and a provider confirmation may still be weaker than the next settled bill or posted credit. The AI agent result verification checklist explains this evidence ladder.
Primary sources first
For product capabilities, we cite the product owner's original announcement, design or safety documentation. For consumer protections and contractor checks, we favor original U.S. agencies where relevant. Merchant policies and product availability must be checked at the time of action.
A product source can establish a general capability; it cannot establish that our specific workflow succeeded. A consumer-agency source can support a verification step; it cannot promise a case outcome.
Review dates mean review
Each task shows the last substantive review date. We update that date only when we recheck and materially change steps, boundaries, evidence or sources—not whenever the site rebuilds. Unsupported instructions should be narrowed, labeled or withdrawn.
Corrections should preserve the reason for a material change in the repository history. A public corrections contact is not yet available; adding one is an identified trust gap, not something we will fabricate.
AI assistance does not create evidence
Research and drafting may use software tools, including AI assistance. Generated text is not treated as a source, a test or proof of an outcome. Material factual claims must remain attributable to visible sources, and evidence labels must reflect what was actually observed.
No document uploads
This site does not ask for account logins, bills, quotes, card details or conversations. You choose what to share directly with your agent. Every guide calls out decisions that should wait for your explicit approval and evidence you can check in the source account.