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feat(linkedin-studio): N7.5 — MR-F9 etterspørsels-sveip (Tier-5-kilder + smertepunkt + vokabular-oversettelse + arc-kontrakt) [skip-docs]
The «innenfra og ut» demand-sweep: the mechanism that FILLS the N6 reader fields
(readerQuestion/painPoint/saturation). Discovery finds "what happened"; this layer
translates it into "the problem the reader is stuck on".
- demand-spotter agent (agents 19->20, inherits session): three passes after
discovery, before drafting — demand-sweep -> pain-point map -> vocabulary translation.
- Tier 5 demand sources in config/trends-sources.template.md (inverse of Tier 1-4;
honest blind spots: YouTube API, Reddit approximate, HN/GitHub ground truth).
- demand signal on TrendRecord (strength + answered) — rankable twin of the verbatim
saturation text; additive-optional, store schema stays v4 (no migration).
- arc.ts (§4 output contract): groupIntoArcs (relatedIds transitive closure),
rankArcQuestions (etterspørsel x kan-svare x ikke-besvart), classifyMarketGap
(supply-gap != demand-gap != saturated). Pure + deterministic (TDD).
- arcs CLI verb + /linkedin:trends --demand mode (commands stay 30); morning brief
shows the per-candidate demand signal.
Suites: trends 276->300, test-runner 139->140, tsc clean. Others unchanged
(brain 134, hooks 140, tests 35, render 60).
MR-F9 built (bygget-men-ubevist) — the (a)/(b)/(c) evidence gate is a runtime
demonstration, proven consumer-side (plugin agents don't resolve in the dev repo).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_014bE7VbkmR3cqHFEeGfzgwb
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2026-07-23 22:26:39 +02:00 |
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