Feedback-loop engine + evidence boundary
data/build-007-engine-v1.jsonThe event schema, governed stages, source classifications, inherited control primitive, and non-claims.
BUILD 007
Feedback Loop Product Architecture
A product learns only when use, outcomes, corrections, and unmet needs can reach a named human control, become a bounded change, be validated and communicated, and return to monitoring within explicit privacy limits.
QUESTIONHow does feedback become accountable product improvement?
STRUCTURED PUBLIC BUILD ARCHIVE
Research, creation, decisions, audits and plans are publicly structured without claiming that every release gate is complete.
This page exists so the durable record does not depend on conversation history. Research, decisions, generated artifacts, audits, limitations, media metadata, plans and canonical source paths are retained here as part of the build itself. A listed repository path proves that an implementation record was retained; it does not independently support a real-world factual claim.
7 of 7 listed retained paths have a public reader link on this archive page. Unlinked paths remain named for traceability but are not represented as publicly inspectable evidence.
What informed the build
Complete Build 007 archive
docs/builds/007/ARCHIVE.mdObservation, retained research, inheritance, decisions, rejected approaches, privacy, QA state, and forward lineage.
Build 007 specification
docs/builds/007/SPEC.mdPurpose, inputs, engine contract, acceptance criteria, and evidence requirements.
What exists because we built it
007-A feedback-loop architecture lab
Map four feedback event classes and test the controls required to turn signals into accountable improvements.
007-B The Product That Learns
Interactive one-way, partial, governed, and urgent-correction loop states.
Feedback Event Schema v1
Use, outcome, correction, and unmet-need events with source, affected group, urgency, and consent boundary.
Local feedback-loop JSON export
Preserves product, events, controls, assessment, inheritance, version, and limits.
Why it works this way
Correction is first-class
A contest or repair signal is not buried in the ordinary request queue.
Build 001 is concretely inherited
The engine imports humanReviewScore and humanReviewGrade; person-present is not treated as governed.
Privacy can block closure
Missing consent-purpose confirmation or retention rules prevents the strongest assessment.
Collection is not learning
Validation and communication must occur before outcomes return to monitoring.
How the work was checked
Machine-readable archive
data/build-007-archive-v1.jsonStructured lineage, decisions, rejected approaches, records, and limitations.
007 privacy/support record
data/build-007-privacy-support-v1.jsonLocal-state privacy, minimization, export, and support boundary.
007 freshness/performance record
data/build-007-freshness-performance-v1.jsonNo-network/no-model core value, dependencies, freshness, and resilience.
007 LinkedIn production record
docs/builds/007-linkedin-production.mdDeterministic 4:5 film specification, checksum, reproduction, and verification boundary.
What this build intentionally leaves forward
Certified release
Implementation head 47c9c83d passed 198/198 Chromium/WebKit tests in CI run 31986626556; exact-head Vercel deployment dpl_23iAtLXTcpztKXZNtNwdzEyQs5CS was READY and received hosted interaction QA.
Future consumers
Canonical Builds 037, 086, and 087 explicitly inherit Build 007.
Take the social artifact with you
B-LINKEDIN / CANONICAL FILM
720×900 · 4:5 MP4 · 24 fps · silent-first
CURRENT VERIFIED MEDIA / 30-second film · 375.3 KB
FINAL PROPOSITION / A PRODUCT LEARNS ONLY WHEN FEEDBACK CAN RESPONSIBLY CHANGE IT.
SHA-256 d6ed7c62c94a24609c9a96de40b36313f29269cddb0180b47c8001d8e77df2b5Reproducible from data/linkedin-film-specs-v1.json with scripts/render-linkedin-films.py. The website—not a chat attachment—is the canonical media source.
The repository files that preserve the implementation record
apps/web/app/100-builds/007/a/FeedbackLoopLab.tsxapps/web/app/100-builds/007/b/GovernedLoopField.tsxpackages/release/src/decision-engines.tsdata/build-007-engine-v1.jsondata/build-007-archive-v1.jsondocs/builds/007/SPEC.mddocs/builds/007/ARCHIVE.mddocs/builds/007-linkedin-production.mddata/build-007-privacy-support-v1.jsondata/build-007-freshness-performance-v1.jsontests/build007.spec.tsThese paths preserve the implementation record. Only items with an explicit public reader link are publicly inspectable here. A file path, working interface or internal engine is not independent support for a real-world claim; synthetic propositions and design reasoning remain labeled within the retained record.