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Our Personalization UI Promised Citations That Retrieval Could Not Keep

Review narrowed a product promise from fixed citations to a shared source pool with preferred passages, without claiming a new model-accuracy result

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Reviewed by Victor Sineglazov on October 22, 2026.

Our initial personalization copy promised that language and depth could change while citations stayed the same. The retrieval policy could prefer passages from the reader's part of the book, so that promise was stronger than the system's behavior. Review corrected the wording before it became the interface's explanation of personalization.

A shared source pool does not freeze the selected passages

The same book and searched sources could participate while ranking favored material associated with a profession. That preference could change which passages reached the answer and therefore which citations appeared. Keeping the corpus stable did not guarantee an identical answer reference list. The final wording reflected the narrower mechanism: the same book and searched sources remained, with passages from the reader's part coming first. It described a preference without saying that the rest of the corpus had been excluded.

Statement Boundary it must respect
Same searched sources Describes the participating source pool
Preferred part Describes ordering or preference within retrieval
Same citations Would require a stronger invariant
Answered only from one part Would exclude material the implementation still permits

A second sentence overstated exclusivity

The Practice Owner note initially described answers as coming from the first part. Review changed that to language expressing a leaning toward that part. The whole corpus still participated, so an exclusive-source claim would misdescribe an allowed result. This was not merely a softer marketing tone. The revised sentence changed the set of behaviors a reader could reasonably expect. A citation from another part should not look like a product defect caused by an interface promise the implementation never made.

The correction crossed several surfaces

Answer scope, onboarding and the Change profession flow all explained related behavior. Correcting one string would leave contradictory promises elsewhere. The change therefore had to propagate through the catalogs and the later profile flow.

A design-tool matrix still needed a matching update according to the recorded follow-up. We do not treat changed application strings as proof that every design artifact had been corrected. The source of truth for an implemented behavior and its remaining documentation work must stay distinguishable.

Review a promise against its mechanism

Our useful artifact is the statement-to-contract table above. For each sentence, identify whether it describes source eligibility, ranking, response style or an invariant, then ask which concrete implementation field or rule establishes that statement.

A passing translation-key check cannot answer this question. Nor can a well-formed role badge. The contradiction here required understanding how the backend selected passages and how the frontend explained that selection.

Turning the wording correction into a regression

The ledger records a specific contradiction found during the whole-branch review: the explanatory sentence promised fixed citations while the designed retrieval preference could change the selected passages. The owner kept retrieval and delegated the wording. That chronology matters because the resulting change was an explanation of existing allowed behavior, rather than a frontend change that froze the ranking.

We can restate the corrected contract without copying the private ledger's full translated sentences:

Observation in a comparison Consistent with the corrected promise?
Two professions search the same source pool Yes, this is the shared scope
Their selected passages differ Yes, preference can change selection
A preferred-part answer cites another part Yes, preference is not exclusive eligibility
An old answer keeps its stored scope after Profile changes Yes, new-request context does not relabel that answer

In the last row, the wording meets the historical-answer contract without turning the two topics into one invariant. A changed citation list on a new request may be legitimate. A changed explanation of an unchanged saved response may be a display defect. A review that simply compares two screenshots for identical citations would confuse those cases.

Catalog tests pinned the owner-approved corrections. They are useful as a brake on accidentally reintroducing the old promise during a translation cleanup. They do not independently prove the retrieval algorithm: that still requires the service contract and the underlying selection behavior. Their job is to keep the interface from again stating a stronger invariant than the approved one.

Where a repaired string can still leave a broken promise

Responsibility for the matching design-tool rule remained with the designer in the record. An engineer reading that older matrix could otherwise restore the unchanged-citation language while believing they were repairing a discrepancy. Keeping the unresolved artifact named prevents a stale design note from silently outranking the implementation decision.

For a future review, the relevant comparison is between source eligibility, passage preference and the user-facing sentence on every affected surface. Benchmarking answer quality is a different activity. A correctly narrowed promise can be shipped without pretending that its wording is a model-quality result.

What the correction did not prove

The merged record includes the copy changes and local-cluster checking. Role-tagged benchmark questions were outside the recorded evaluation stage. We therefore do not claim that the correction improved model accuracy or proved every profession's answer quality.

Stas's contribution is the frontend promise and its integration across surfaces. Backend ranking belongs to the service work. Keeping that division explicit lets this case explain a product-language defect without claiming ownership of the retrieval algorithm.

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    Here are three anonymized examples from our recent delivery history:

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    See more projects: NoMoreBets, Pulse, Sagas, Gambit Stream and Pleenk. For the full portfolio, visit our case studies. Learn more about the technology behind these projects in our guide to stablecoins and crypto infrastructure.

Stas Rysin is the Lead Frontend Developer at Pharos Production. His work covers the design system, reader interfaces and administration workflows of a professional learning platform for aesthetic medicine.

Dmytro Nasyrov, Founder and CTO at Pharos Production
Dmytro Nasyrov Founder & CTO Let's work together!

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