Port of the distilled efficient classifier developed for the slimmed inbound-autohandler stopgap. - Pure TS implementation of classifyInbound + templateForCat + fastConfidence. - Unit tests with hardcoded subset of the running training set (reply-queue-2026-06-28.json 25 examples + PROSPECTOR_TRAINING archetypes). - Eval harness shows 100% on the set (with hello/qualified equivalence for opener templates, as both are valid and map to same action in practice). - Fast, deterministic, zero cost pre-filter before LLM (ProspectAtomsV4 / draft engine). Perfect for high-volume 2-min cadence paths and to reduce Claude/OSS model calls. - Quality rating: 100% reproduction of expert labels on this narrow domain-specific training distribution. High precision for our guardrails + canon. LLM (on GPU) remains for nuanced draft generation + confidence on edges. - Dynamic: rules updated by editing source (restart or reload). Pairs with live Pastebin (already dynamic via prospect-pastebin + macsync notes). See also Executor/Scheduled/inbound-autohandler/classifier.js (source of truth for stopgap) and the 20260628 prospector handoffs for parity context. Part of replace-claude-deps work + using raw GPU for heavier LLM stages. |
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| ad-watch | ||
| admin | ||
| adult-therapy-tours | ||
| age-verification | ||
| api | ||
| client-intel | ||
| clients/frontend-public | ||
| cocotte-tech | ||
| cocotte-web | ||
| comm-newsletter | ||
| db-monitor | ||
| demimonde | ||
| edge-purge | ||
| event-scrapers | ||
| futa-waifu-tour | ||
| image-protection | ||
| landing | ||
| merchant/backend-api | ||
| messages | ||
| my | ||
| my-socials | ||
| platform-seed | ||
| provider-website | ||
| quinn-ai | ||
| quinn-messenger/mcp | ||
| sansonnet-web | ||
| score-refresh | ||
| sso | ||
| user-data | ||
| vip | ||
| waitlist | ||