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DURABLE BUILD ARCHIVE / CERTIFIED PUBLIC

BUILD 005
Service-to-Software Discovery

Repetition alone is not an automation opportunity. Map the service step-by-step, preserve judgment where it is central, remove low-value repetition, and prototype only the stable rule-bound work.

QUESTIONWhich repeated service steps deserve software, human judgment, or removal?
CERTIFIED PUBLIC BUILD ARCHIVE

The complete structured public archive is certified for this build.

DURABLE-RECORD RULE

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.

SOURCE-LINK AVAILABILITY

6 of 6 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.

01 / RESEARCH + EVIDENCE

What informed the build

Service-to-Software Discovery Method v1data/build-005-engine-v1.json

Governed disposition rules, threshold heuristics, inherited decision-gap signal, and explicit non-claims.

Build 003 inheritance

The Decision Gap Engine is imported directly so 005 keeps the original problem signal visible while classifying service steps.

Technological-ceiling decision

Automatic workflow mining, model classification, process-mining integrations, and agentic automation were deferred because they would obscure the form-selection logic this build is meant to expose.

02 / CREATED

What exists because we built it

005-A service-step classifier

Maps service work into AUTOMATE / KEEP HUMAN / REMOVE candidates with visible reasons and explicit boundaries.

Workflow map JSON export

Carries signals, dispositions, reasons, and inherited decision-gap context.

03 / ARCHITECTURE + DECISIONS

Why it works this way

REMOVE is first-class

Low-value repeated work is not automatically preserved simply because it can be automated.

KEEP HUMAN is not anti-software

Software may still assist; the label protects central expert judgment and high-consequence ambiguity.

AUTOMATE means investigate/prototype

It is not a deployment, ROI, labor, legal, or safety approval.

04 / AUDIT + RELEASE

How the work was checked

05 / PLANS + OPEN THREADS

What this build intentionally leaves forward

Feeds Build 006

005 establishes the form-before-automation boundary that 006 expands into a wider question: does the opportunity deserve software at all?

06 / MEDIA

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 · 329.8 KB

FINAL PROPOSITION / MAP THE WORK BEFORE YOU AUTOMATE IT.

SHA-256 b5305b662b6e09de04daf4b842421865d77fbfa1a42997e54770638a1e245fc0Reproducible from data/linkedin-film-specs-v1.json with scripts/render-linkedin-films.py. The website—not a chat attachment—is the canonical media source.
07 / CANONICAL SOURCE INVENTORY

The repository files that preserve the implementation record

apps/web/app/100-builds/005/a/ServiceSoftwareLab.tsxapps/web/app/100-builds/005/b/ServicePathSplit.tsxdata/build-005-engine-v1.jsondata/build-005-acceptance-v1.jsondata/build-005-privacy-support-v1.jsondata/build-005-freshness-performance-v1.jsondocs/builds/005-release-record.mddocs/builds/005-linkedin-production.mdtests/build005.spec.ts

These 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.