KnowledgeVault AI
internal prototype · canonical JSON + Dreamborn Forge HTML
internal generated
bezeliq · active

KnowledgeVault AI

Canonical project row from Supabase Studio with generated Forge views for each attached artifact.

studio_project · research

KnowledgeVault AI research

research artifact · for KnowledgeVault AI · status approved

KnowledgeVault AI · bezeliq

internal Open
studio_project · feature-ux-spec

KnowledgeVault AI feature-ux-spec

feature-ux-spec artifact · for KnowledgeVault AI · status approved

KnowledgeVault AI · bezeliq

internal Open
studio_project · policy

KnowledgeVault AI policy

policy artifact · for KnowledgeVault AI · status approved

KnowledgeVault AI · bezeliq

internal Open
studio_project · module-spec

KnowledgeVault AI module-spec M-02

M-02 creates the products catalog and product_pre_seeds tables, exposes GET /api/products/queue for authenticated experts, and delivers two mobile screens: the Product Queue Screen (S-02-a) where experts browse and filte

KnowledgeVault AI · bezeliq

internal Open
studio_project · module-spec

KnowledgeVault AI module-spec M-00

M-00 establishes the complete Supabase PostgreSQL 15 schema for KnowledgeVault AI. It delivers four numbered migration files: enabling pgvector and pg_cron extensions; creating all foundational tables (12 specified plus

KnowledgeVault AI · bezeliq

internal Open
studio_project · blueprint

KnowledgeVault AI blueprint

blueprint artifact · for KnowledgeVault AI · status approved

KnowledgeVault AI · bezeliq

internal Open
studio_project · module-spec

KnowledgeVault AI module-spec M-03

M-03 delivers the offline intelligence pipeline that pre-computes product knowledge scaffolding before any expert session begins. For each SKU in the products catalog, a Supabase Edge Function invokes Gemini 2.5 Pro with

KnowledgeVault AI · bezeliq

internal Open
studio_project · module-spec

KnowledgeVault AI module-spec M-04

M-04 delivers the live voice capture session: the core expert-facing interaction where an authenticated expert answers AI-generated questions by voice and sees extracted knowledge objects populate a structuring panel in

KnowledgeVault AI · bezeliq

internal Open
studio_project · module-spec

KnowledgeVault AI module-spec

Delivers all Supabase SQL migrations for KnowledgeVault AI v1: 12 tables, pgvector 1536-dimension extension, full row-level security policies, two materialized views (company coverage dashboard and platform analytics), a

KnowledgeVault AI · bezeliq

internal Open
studio_project · module-spec

KnowledgeVault AI module-spec M-01

M-01 delivers end-to-end expert registration for the KnowledgeVault platform: a mobile signup form collecting name, email, phone, trade, specialties and experience; the POST /api/experts/signup endpoint that atomically c

KnowledgeVault AI · bezeliq

internal Open
studio_project · spec

KnowledgeVault AI spec

spec artifact · for KnowledgeVault AI · status dispatched

KnowledgeVault AI · bezeliq

internal Open
studio_project · module-spec

KnowledgeVault AI module-spec M-08

M-08 enables company-authenticated field technicians to query a named AI expert persona and receive a GPT-4o synthesised first-person answer attributed to that expert. The module adds GET /api/virtual-experts (listing al

KnowledgeVault AI · bezeliq

internal Open
studio_project · decomp

KnowledgeVault AI decomp

decomp artifact · for KnowledgeVault AI · status approved

KnowledgeVault AI · bezeliq

internal Open
studio_project · intent

KnowledgeVault AI intent

Manufacturing and distribution companies face an institutional knowledge cliff as experienced employees retire. Decades of irreplaceable tacit knowledge — product quirks, troubleshooting heuristics, application expertise

KnowledgeVault AI · bezeliq

internal Open
studio_project · plan-module

KnowledgeVault AI plan-module M-07

plan-module artifact · for KnowledgeVault AI · phase M-07 · status draft

KnowledgeVault AI · bezeliq

internal Open
studio_project · plan-module

KnowledgeVault AI plan-module M-04

plan-module artifact · for KnowledgeVault AI · phase M-04 · status draft

KnowledgeVault AI · bezeliq

internal Open
studio_project · plan-module

KnowledgeVault AI plan-module M-01

plan-module artifact · for KnowledgeVault AI · phase M-01 · status draft

KnowledgeVault AI · bezeliq

internal Open
studio_project · module-spec

KnowledgeVault AI module-spec M-05

M-05 delivers the async evaluation pipeline that closes the quality loop after each expert capture session. When an expert marks a session complete, a Supabase Edge Function reads the frozen SharedExpertContext, dispatch

KnowledgeVault AI · bezeliq

internal Open
studio_project · plan-module

KnowledgeVault AI plan-module M-05

plan-module artifact · for KnowledgeVault AI · phase M-05 · status draft

KnowledgeVault AI · bezeliq

internal Open
studio_project · module-spec

KnowledgeVault AI module-spec M-10

M-10 delivers an admin-only analytics panel that surfaces aggregate platform impact (hours of expert knowledge preserved, support-call reduction estimate) and AI cost efficiency metrics (cost per session, cost per knowle

KnowledgeVault AI · bezeliq

internal Open
studio_project · plan-module

KnowledgeVault AI plan-module M-00

plan-module artifact · for KnowledgeVault AI · phase M-00 · status draft

KnowledgeVault AI · bezeliq

internal Open
studio_project · plan-module

KnowledgeVault AI plan-module M-03

plan-module artifact · for KnowledgeVault AI · phase M-03 · status draft

KnowledgeVault AI · bezeliq

internal Open
studio_project · plan

KnowledgeVault AI plan

plan artifact · for KnowledgeVault AI · status dispatched

KnowledgeVault AI · bezeliq

internal Open
studio_project · module-spec

KnowledgeVault AI module-spec M-09

M-09 delivers the manager-facing company coverage dashboard — the primary value-proof surface for buyer retention. It creates company_dashboard_mv, a single-row-per-company materialized view (pg_cron refresh every 60 min

KnowledgeVault AI · bezeliq

internal Open
studio_project · module-spec

KnowledgeVault AI module-spec M-07

M-07 gives company-authenticated field technicians a semantic search interface over the published knowledge base. A POST /api/query endpoint embeds the natural-language query via text-embedding-3-small (1536d), runs pgve

KnowledgeVault AI · bezeliq

internal Open
studio_project · plan-module

KnowledgeVault AI plan-module M-10

plan-module artifact · for KnowledgeVault AI · phase M-10 · status draft

KnowledgeVault AI · bezeliq

internal Open
studio_project · plan-module

KnowledgeVault AI plan-module M-08

plan-module artifact · for KnowledgeVault AI · phase M-08 · status draft

KnowledgeVault AI · bezeliq

internal Open
studio_project · plan-module

KnowledgeVault AI plan-module M-02

plan-module artifact · for KnowledgeVault AI · phase M-02 · status draft

KnowledgeVault AI · bezeliq

internal Open
studio_project · module-spec

KnowledgeVault AI module-spec M-06

M-06 delivers the expert earnings pipeline on top of the payment schema established in M-00 and the payment records created in M-05. It adds a DB trigger that fires immediately when the M-00 pg_cron job releases a paymen

KnowledgeVault AI · bezeliq

internal Open
studio_project · plan-module

KnowledgeVault AI plan-module M-06

plan-module artifact · for KnowledgeVault AI · phase M-06 · status draft

KnowledgeVault AI · bezeliq

internal Open
studio_project · plan-module

KnowledgeVault AI plan-module M-09

plan-module artifact · for KnowledgeVault AI · phase M-09 · status draft

KnowledgeVault AI · bezeliq

internal Open
studio_project · spec

KnowledgeVault AI spec M-09

spec artifact · for KnowledgeVault AI · phase M-09 · status draft

KnowledgeVault AI · bezeliq

internal Open
studio_project · plan-module

KnowledgeVault AI plan-module M-11

plan-module artifact · for KnowledgeVault AI · phase M-11 · status draft

KnowledgeVault AI · bezeliq

internal Open