Method
Editorial log
Every published page on this site, who reviewed it, when, and what the review changed.
Scaled content is penalised when it is published without review. Rather than assert that review happens, the record is kept here and the build will not publish a page whose review block is missing or dated before the page was written.
One collection is reviewed differently and the table says so rather than hiding it. Market pages carry no third-party figure — every publishable fact on one is a named authority, a section number, an institution or a link — so each is checked by retrieving the source and searching it, and the URL, the status, the hash and the matched passage are recorded. A field that cannot be established that way is dropped; a page whose required fields cannot be is not published. Everything that carries a figure somebody else measured is still read by a person before it ships.
| Page | Type | Reviewed by | Reviewed | What the review changed |
|---|---|---|---|---|
| How do you write a prompt for a task you do every week? | Answer | Answer Production Engine | 2026-08-25 | Added the missing-input instruction, which no template guidance includes and which addresses the specific failure of a recurring task: the run that proceeds with something absent and produces normal-looking output. Also added the staleness of the embedded example, which is the only thing in a template that decays. |
| How do you write instructions an AI agent will actually follow? | Answer | Answer Production Engine | 2026-08-25 | Cut a recommended instruction-document structure. Structure is the part readers copy and the count is the part that governs, so supplying a layout would have encouraged longer documents. Added the positive-versus-negative point, which changes how individual rules are written and is where most prohibition failures originate. |
| How long should you run an AI automation alongside the manual process? | Answer | Answer Production Engine | 2026-08-25 | Added the degradation argument, which reverses the intuition that longer parallel running is safer. A manual path run as a check gets less attention, so the comparison weakens, and that changes the recommendation from run until confident to run one cycle and decide. Also added capturing the manual procedure, which has no later opportunity. |
| How many agents is too many? | Answer | Answer Production Engine | 2026-08-25 | Cut a suggested maximum count. Any number would be quoted without the traceability and review conditions that actually set it, which is the whole argument. Added review capacity as a third limit, because it binds first for most readers and neither of the other two would have been reached. |
| How many things should an agent do at once? | Answer | Answer Production Engine | 2026-08-25 | Separated the two questions the title conflates — how many claims a run should produce, and how many operations it may perform simultaneously — because they have opposite answers and the draft ran them together, which would have discouraged parallel gathering for no reason. |
| How much context does an AI agent actually need? | Answer | Answer Production Engine | 2026-08-25 | Cut a rule of thumb about what proportion of the window to fill. A proportion is a property of the material rather than of the job and would have been applied to jobs it does not fit. Replaced with the decision inventory, which is slower to perform and produces an answer specific to the task. |
| How many tools should an AI agent have? | Answer | Answer Production Engine | 2026-08-25 | Removed a recommended maximum tool count. Any number would be quoted without the job it was derived from, and the page's argument is that the count follows from the steps. Added the closing counter-case, since the draft read as an argument for minimalism and an agent that cannot reach what it needs improvises, which is the worse failure. |
| How much should a small business automate with AI? | Answer | Answer Production Engine | 2026-08-25 | Cut a recommended number of automations from the draft. A count without the business's supervisory capacity attached is exactly the kind of figure that gets quoted out of context, and the page argues capacity is the variable. Added the observation-layer paragraph, which was missing and is the cheapest useful thing most readers could build this week. |
| How much should you trust an AI system that has been right so far? | Answer | Answer Production Engine | 2026-08-25 | Added the closing paragraph after the draft read as an argument for permanent suspicion, which is not the position and would be dismissed by anyone operating a system that works. The argument concerns what counts as evidence, and stating that explicitly changes how the rest of the page lands. |
| How should a beginner start building with AI agents? | Answer | Answer Production Engine | 2026-08-25 | The draft recommended a tool and a starter project. Both date the page and neither answers the question, which is about sequence. Replaced with the report-first progression and the four behaviours to watch. Removed a claim that agents get more reliable with practice, which conflates operator competence with system behaviour. |
| How should a business organise its files so AI can use them? | Answer | Answer Production Engine | 2026-08-25 | The draft opened with a recommended folder taxonomy, which is the part every reader would have copied and the part least likely to fit their business. Replaced with the four conditions that actually determine retrieval quality. Added the access-scope section, which belongs here because the same decision governs both. |
| How should businesses prioritise AI automation opportunities? | Answer | Answer Production Engine | 2026-08-25 | Added ownership as a required sort. The draft ranked on frequency and checkability, both of which are properties of the task, and an automation passing both still stops within a year if nobody owns it. Also added the recommendation to build the capture layer first, which is what makes the whole exercise repeatable. |
| How should a clinic use AI for patient communication? | Answer | Answer Production Engine | 2026-08-25 | Added identity verification as a distinct requirement. The draft treated safe content as sufficient, and disclosing correct appointment information to the wrong person is a failure the content rules say nothing about. Also stated the triage risk concretely, since a reassuring reply that delays care is not a harm an error rate accommodates. |
| How should a coding agent handle a failing test? | Answer | Answer Production Engine | 2026-08-25 | The draft forbade modifying tests. That produces code contorted to satisfy a wrong assertion, so the rule was changed to visibility rather than prohibition. Added the flaky-test section, because a suite that intermittently fails defeats every other control on this page and the draft treated it as a separate concern. |
| How should a home services business use AI on the phone? | Answer | Answer Production Engine | 2026-08-25 | Reframed the whole page around the comparison, because the draft implicitly compared the system against a person answering and lost the argument on every point. Against a missed call it wins on every point, and that is the situation these systems should be designed for. Added the consent question, which is a state-law matter and was absent. |
| How should a law firm use AI for document review? | Answer | Answer Production Engine | 2026-08-25 | Cut a comparison of tool accuracy against human reviewers. The published work on that question turns on methodological choices about consistency and reporting a headline from it would have been the kind of figure that gets quoted without its method. Replaced with the recall construction, which a firm can perform on its own material. |
| How should a main agent delegate work? | Answer | Answer Production Engine | 2026-08-25 | Added the obstacle instruction after considering what a worker does with an unanswerable question, which is to answer it anyway. Without that line every other part of the brief still produces a confident wrong result. Cut a brief template in favour of the five components and their reasons. |
| How should a manufacturer use AI on RFQs and quoting? | Answer | Answer Production Engine | 2026-08-25 | Added the export control and confidentiality constraint on drawings, which is specific to this industry and which no general integration guidance raises. Also drew the line at pricing more firmly than the draft did, after working through what a price actually depends on and finding none of it present in the enquiry. |
| How should a small business control AI costs? | Answer | Answer Production Engine | 2026-08-25 | Cut a table of indicative prices, which dates within months and would be read as the answer to a question the page argues is the wrong one. Kept the closing point about human cost, which is where the actual expense sits and which every pricing-focused treatment of this question omits. |
| How should a small business evaluate an AI vendor? | Answer | Answer Production Engine | 2026-08-25 | Added the exit question as a primary rather than a closing item, after considering which of the three a business is least likely to think of and most likely to regret. Also added the observation that data terms differ by plan, which makes a generic answer about the product misleading in the specific case being bought. |
| How should a small business introduce AI to its staff? | Answer | Answer Production Engine | 2026-08-25 | Moved the employment question from a footnote to the opening. Everything else on the page depends on it having been answered, and a rollout plan that does not address it is competing with an unanswered question that is more important to the audience than anything being demonstrated. |
| How should a small business protect customer information when using AI? | Answer | Answer Production Engine | 2026-08-25 | Added the limits of anonymisation, which the draft offered as a general mitigation. Removing a name from an account whose circumstances identify the person is not anonymisation, and treating it as sufficient is the most common way a careful business creates the exposure it was trying to avoid. |
| How should AI automation costs be measured? | Answer | Answer Production Engine | 2026-08-25 | Added the skewed distribution point, which the draft's per-item average would have concealed and which is where both the spend and the diagnostic information sit. Also added the caution about comparing model cost to staff cost, since the page otherwise invites exactly that comparison and it omits most of what a person does. |
| How should AI-generated work be checked before publication? | Answer | Answer Production Engine | 2026-08-25 | Added the duplication check, which the draft omitted and which no per-piece review can catch. Also added the record requirement, since a checking process that is never logged cannot be distinguished from one that lapsed, and lapsing is what happens under deadline. |
| How should AI be used in customer support? | Answer | Answer Production Engine | 2026-08-25 | Added the measurement of queries with no adequate source, which the draft omitted and which is the durable by-product of this whole arrangement. Also sharpened the angry-customer answer from sentiment detection to a broad keyword route, because the cost of a missed detection is concentrated in exactly that case. |
What the build refuses to publish.
Four checks run before any page in this system is generated, and each one stops the build rather than producing a warning nobody reads.
A page must name, in writing, what is on it that could not appear unchanged on a sibling page — and no two pages may give the same answer. Independently of that, every page is reduced to a fingerprint with its own subject and place names masked out; if two fingerprints match, or come close, both pages are named and the build stops. That is the check that catches a page whose only distinguishing feature was the city in the heading.
A page must also carry at least two datapoints that are specific to its own subject rather than to its category, and if the same figure is claimed as specific on two different pages, it was specific to neither. Pages ship in cohorts with a size cap so indexation can be observed between them, and every page carries the review block that produces the table above.
All four are properties of the schema, not of anyone remembering. Reviewed by Siddharth Sharma, except the 0 market page(s) above, which are checked against their sources and carry the record of it.
GATES
A gate enforced by a person reading pages stops being enforced somewhere around page 60.