Interview Doc Agent profile verification

Type: agentic-system-analyses/types/agentic-system-verification.md

Verification

I checked all ten axes in the memory profile against the handed records and annotations, resolving the four object supersessions through the supplied reconciliation. No frozen-source reads, new records or quotations were needed. The remaining epistemic experience-library and index containers have broader scopes than their memory counterparts; their use does not introduce a superseded referent.

The profile covers accumulated user inputs, derived dossiers and access metadata, retained template replacements, products and the described cloud alternative. It excludes unchanged shipped guidance and external model weights. That distinction agrees with MEM-OBJ-templates, RT-OBJ-skill and RT-CMP-host-ai. All positive bases remain claimed: these records describe host-interpreted instructions, not inspected host machinery, execution or benefit.

  • Storage substrate and representational form: The grouped local units retain the same documented file substrate and interpretation-based textual form across the enumerated objects. MEM-OBJ-materials, MEM-OBJ-experience-dossiers, MEM-OBJ-personal-profile, MEM-OBJ-wiki-index, MEM-OBJ-templates, MEM-OBJ-jd and MEM-OBJ-output support those classifications. Path strings, numbers and optional LaTeX do not establish another operative form without a fixed-rule consumer. The named cloud pages/records support service-object storage, while RT-RTE-feishu-writeback leaves intermediary storage and consumed representation uninspected. The profile does not transfer the local full-file description to that payload.
  • Lineage: Imported source documents, model-compiled derivatives and human-authored revisions are separate derivation paths, supported by MEM-OBJ-materials, MEM-OBJ-templates, MEM-OBJ-experience-dossiers and RT-RTE-consolidate-experience. Initial populated profile fields remain unresolved in MEM-OBJ-personal-profile; neither subsequent index maintenance nor known source admission resolves them. Cloud derivation remains uninspected. Compiled lineage does not imply semantic fidelity or agent-trace origin.
  • Behavioral authority: Knowledge is supported at raw-detail/consolidation, dossier generation and human-product consumers; instruction is supported at the retained-template consumer. See MEM-BAP-dossier-context, MEM-BAP-template-guidance and MEM-OBJ-output. JD/persona prioritization supports ranking, while locator content supports routing through RT-RTE-generate-document and EPI-OBJ-wiki-index. These effects do not establish enforced permissions or factual validation. The unresolved cloud consumer is preserved rather than classified from its display text.
  • Write agency: Human content supply, edits and denied-write copying are manual mechanisms; model starter creation, dossier/index maintenance and product admission are automatic mechanisms. RT-RTE-initialize-workspace, RT-RTE-consolidate-experience, RT-RTE-generate-document and RT-RTE-feishu-writeback support that separation. The profile correctly distinguishes workflow initiation from per-content approval, and admission from physical I/O. Unknown initial profile control remains a separate unit.
  • Curation operations: Requested extraction into reduced interview-ready representations supports claimed consolidation; requested updates of corresponding existing dossiers/indexes support claimed evolution in RT-RTE-consolidate-experience. The partial semantic assessment is consistent with EPI-OBJ-experience-library and the epistemic transformation ledger: a why/how slot alone does not prove synthesis. MEM-ABS-memory-maintenance does not erase the positive update route, nor does it establish additional curation operations.
  • Read-back direction and signal: The local reads fulfill the foreground consumer's document request. RT-RTE-generate-document and its memory annotation support pull, including optional raw-detail and whole-library reads. Delivery within that requested chain is not a separate unsolicited push. Signal inapplicability stays local to this assessed pull branch. RT-RTE-feishu-writeback does not expose cloud direction, selector inputs or selected payload; its unresolved alternative prevents system-level pull-only or signal-inapplicable conclusions.
  • Trace learning and source: The bounded local negatives concern manual admission, blank initialization and products without a prescribed later-agent update consumer. The dossier route differs: MEM-OBJ-materials names chats and human-work records, but does not identify qualifying agent-session, tool, event or trajectory content. RT-RTE-consolidate-experience supplies automatic derivation and later consumption, not the missing original-input classification. Therefore neither a positive trace-learning value nor a blanket negative is established for that branch. MEM-ABS-memory-maintenance is narrower than absence of every qualifying trace-fed context write. Trace-source uncertainty and cloud uncertainty remain supported; the aggregate trace-learning assessment is locally overcautious as noted below.

The reports' differing claimed, uninspected and doctrine only labels concern distinct evidence dimensions, not a conflict that warrants upgrading a profile basis. No emitted positive value depends on observed execution, accepted factual knowledge or demonstrated improvement. The partial inventories preserve the consequential initialization, semantic-transformation and cloud gaps. Those gaps prevent complete-value comparisons, not the supported existence classifications.

Blockers

none

Limits

  • The trace_learning axis uses not-determinable despite retaining a classified local "no" finding alongside unresolved dossier and cloud units in the profile. MEM-ABS-memory-maintenance, RT-RTE-initialize-workspace and MEM-OBJ-output support the bounded negative; MEM-OBJ-materials, RT-RTE-consolidate-experience and RT-RTE-feishu-writeback preserve unresolved alternatives. Under the profile's coverage vocabulary, these classified and unresolved units fit partial more precisely. This is an overcautious aggregate assessment, not an unsupported emitted trace value or a false completeness claim, so it does not require blocking publication. Consumers should retain the unit-level negative and withhold both a system-wide trace-learning negative and any interpretation of the aggregate label as meaning that no local controlled value was established.