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SAG TECHNOLOGY FRONTIER
We design how search, answers and generative AI understand brands, and explain the architecture behind SAG in clear technical terms.
SAG / ARCHITECTURE NOTES
From discovery and evidence to data boundaries, reliable execution and delivery—see how each engineering choice works.
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A collection design that keeps browser cookies and session state within task-specific boundaries. If a previous customer’s login state carries over into the next collection, results may differ from public pages or expose data from another account.
A principle for modeling data acquisition, completion of internal analysis, and confirmation of external visibility as separate statuses. HTTP 200 means only that a request succeeded; it does not mean the brand appeared in an AI answer. If only “completed” is shown, customers may confuse result quality with execution status.
An operational rule that considers both automated-access directives and the scope of the site owner’s permission. Even if a page can technically be opened, that does not establish that crawling permission and permitted use are aligned. Treating restrictions as failure scores can distort the analysis.
Discard earlier responses by identifying the order of transitions. If you select September after requesting October, but the October response arrives late, the selection and the screen can diverge. Even when the server is correct, the UI needs to verify response order.
A design for identifying scheduled runs as the same business task and controlling duplicates and conflicts. Schedules can be duplicated, delayed, or fail. Treating the number of runs as equal to the number of successful saves can cause duplicate records and cost errors.
A rule for determining the denominator of a citation rate by checking whether an answer’s source list was collected in full. If an answer whose citations could not be collected is counted as having no citations, the rate will be lower than it actually is. Conversely, if only answers with sources are selected for the denominator, the rate will be higher.
This method expresses attainment by dividing the current metric by the goal. If the current rate is 70% and the goal is 70%, but the gauge is only 70% full, it is unclear what 100% means. The metric itself and its attainment rate must be kept separate.
An operational approach that links brief reuse of authenticated data with its removal when accounts change. Storing reports in persistent storage can leave sensitive data behind after logout. Fast retrieval and data retention carry the same responsibility.
Use customer paths for navigation, but have the server authorize access to data. A company name in the URL does not replace authentication. If changing an identifier lets someone read other data, a separate menu is not a security boundary.
Explains the definition and necessity of Discovery Engineering, how it works, and SAG architecture criteria and practical checklists, drawing on research and official documentation.