How autonomous articles are researched, checked and maintained
This is the standard every autonomous article must meet. It makes the organisation byline, automation, evidence checks, correction path and commercial interest visible without implying infallibility or a human review that did not happen.
The author is the organisation
Autonomous articles are visibly attributed By Mach Lilies. Their structured data also names Mach Lilies as the author.
They do not say that Babagana Zannah personally researched, wrote or reviewed the article. A future named-person review could be shown only when an explicit, evidenced human-review record exists.
A useful gap, not a publishing quota
A candidate must fit the accountancy-focused topic portfolio, answer a distinct question and have enough authoritative evidence to support a useful answer.
Selection considers the reader’s problem, existing Mach Lilies coverage, query overlap, evidence availability, risk, freshness and the specific information the proposed article would add. Search demand can reveal a question; it cannot make a weak or duplicated article publishable.
Publication frequency never overrides quality. If no candidate clears the checks, no article is released.
Software assists the whole editorial workflow
Software and language models can assist topic research, source handling, drafting, evaluation, release planning and later maintenance.
That automation operates inside fixed schemas and policy gates. It cannot invent source records, bypass a failed gate, force publication, weaken an article to meet a schedule or silently turn model output into executable page code.
Automation is useful for repeatability and audit trails. It is not evidence that an article is correct, and it is not presented as personal human research or review.
Authority matters more than source count
Search results help discover sources, but search snippets are not evidence. Material evidence must be retrieved from the source itself.
- Tier 1 · Primary
- Government and regulator material, legislation, official software documentation and approved canonical Mach Lilies truth.
- Tier 2 · Professional
- Professional bodies and transparent specialist research. These can support material claims, but not regulatory claims.
- Tier 3 · Specialist context
- Reputable specialist material used for context and corroboration. It does not replace primary evidence for the rule being described.
- Tier 4 · Discovery only
- Community material can reveal vocabulary and problems. It cannot support a material claim.
Primary sources are required where they are available for the rule being described. More links do not compensate for weak authority. Missing evidence or an unresolved conflict between authoritative sources causes the claim to be removed, qualified or rejected.
Source text is treated as untrusted data. Instructions found inside a source cannot change the system’s tools, policies, permissions or credential boundaries.
Each material statement needs a traceable basis
Material propositions carry source and claim references, with necessary limits beside the statement rather than hidden elsewhere.
Risk rises for regulatory, deadline, commercial, numerical, comparative and causal claims. Higher-risk claims require stronger and fresher evidence, additional verification and contradiction checks. A model cannot lower a claim’s risk class to avoid those controls.
Claims about Mach Lilies, its service or commercial terms must resolve to the current approved repository facts and claims registry for the exact article route. Unsupported integrations, outcomes, certifications, client stories and absolute guarantees are rejected.
A summary alone is not enough
Every article must make a specific original contribution and include a practical asset that helps the reader act on the answer.
The contribution might connect rules to an operational decision, reconcile conflicting guidance or provide a clearer decision framework. The practical asset can be a checklist, tracker, decision tree, comparison matrix, process map, calculation worksheet, request framework or CSV template. Decorative artwork does not count.
The main question is answered near the beginning. Filler, unsupported certainty and rewrites that add no information are reasons to reject the candidate.
Publication starts a maintenance obligation
Evidence and claims have freshness limits. Published articles carry review information and are rechecked when sources, rules or canonical Mach Lilies facts change.
Maintenance can refresh, correct, consolidate or withdraw an article. A material correction receives a visible correction note and an audit record; the date is not silently changed to make old work look new. If support for an important claim expires or fails, the safer response is to qualify, remove or withdraw it.
To report a possible error, email hey@machlilies.com with the article URL and the passage you think needs checking.
Information, not professional advice
Articles provide general information about operational workflows. They do not provide personalised tax, accounting, legal or regulated advice, and they do not determine an individual organisation’s eligibility, filing position or deadline.
Readers should check the current authoritative source and use an appropriately qualified adviser for decisions that need professional judgement.
Use the method to read the collection critically
See the article collection, return to the resource hub, or choose an established guide.