Interview generation saw only the profile and the advert, so it produced generic
questions. It now also receives what the workspace already computed: seniority,
employment type, key requirements and advert technologies from the job analysis,
plus the match score, the skills the candidate demonstrably has, the most
relevant experience and projects — and above all the gaps, which is exactly what
an interviewer probes.
No second pipeline. The context comes from ApplicationIntelligenceService, which
is deterministic and read-only, so this adds no AI call and cannot alter user
data. Generation still runs through AiWorkspaceService and is still appended to
AiInteraction.
The dependency is optional, so existing constructions keep working and a missing
intelligence service degrades to the previous prompt instead of failing. Only the
interview module is affected; job-analysis, career-match, cover-letter and
application-review assemble exactly as before.
Suggestion-only is unchanged and now pinned by tests: generation adds an
AiInteraction and nothing else, creates no InterviewPrepItem, leaves existing
prep items and the CareerProfile untouched, and refuses another user's
application. Context is scoped to the requesting user, so another user's profile
is never scored in.
379 backend tests pass.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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