Project

    Hyphenomenon

    A public record of AI-assisted work that began as an attempt to understand where my attention was going and evolved into a way of studying how I work.

    AI Ops

    Narrative

    01

    One prompt starts the record

    A new Hyphenomenon project can start with a simple operator prompt: run the Hyphenomenon project-intake skill, give it the local repo path, the project title, and any live or canonical routes, then let the workflow assemble the first record. The point is speed with traceability. The operator does not manually create every project page, note, workflow, screenshot, and graph relationship from scratch; the intake loop creates a reviewable package and shows what it plans to write before anything public is trusted.

    02

    The skill turns paths into artifacts

    The intake skill scaffolds a dossier, screenshot folder, hydration candidates, a project-page packet, and a workflow packet when the project depends on process evidence. For this site, those artifacts matter as much as the final page: they show the repo paths that were read, the screenshots captured, the source documents hydrated into notes, the workflow steps proposed, and the dry-run reports used to decide whether the local database should change.

    03

    Automation drafts, review decides

    Automation collects and structures evidence; it does not declare the record finished. Dry-runs expose the project sections, notes, data models, workflow steps, media, edges, and overwrite risks before apply. Human review decides whether to accept the local write, revise weak copy, append evidence only, or stop. That boundary is the operating model: fast project creation, but with an explicit editorial gate.

    04

    The site becomes a logbook

    The finished output is not a polished portfolio entry. It is a public logbook: the project page gives the narrative spine, notes preserve source-backed proof, workflows show how the work moved, screenshots show surfaces, and the Explore map shows relationships. When the process works, the archive can keep up with new work because the repeatable intake loop carries the heavy setup while the operator keeps judgment in the loop.

    05

    Reporting coverage and the publication pause — September 2026

    The September 1 source-durability work and September 8 report review exposed separate obligations: retain and restore exact sources, establish which machines and intervals a report covers, and verify the publication target. Project 1157 could read accessible source roots; that did not retrieve another machine’s data or implement cross-host aggregation. Local implementation checks therefore did not establish operational cutover or combined-machine coverage.

    The September 8 review records the local daily Skysight publisher paused while collection continued, with the weekly scheduler missing on the inspected Mac and the other machine’s scheduler state unverified. It identifies publication through September 4 and a prepared September 5 report held at authentication. These are dated operational findings; no publisher or source archive was changed by this intake. A later archive-integrity finding remains an unresolved caveat rather than a repair claim.

    The durable lesson is to retain explicit coverage and missing-source labels, deduplicate any attributed host imports, and reconcile the exact report before resuming publication. Multiple local roots, an empty remote completion or a prepared artifact are insufficient proof of complete, recoverable, published reporting.

    System surfaces

    Implementation stack

    Public app runtime

    • • Next.js App Router
    • • React
    • • DB-backed catalog loaders
    • • shared public header/footer

    Knowledge backbone

    • • Neon/Postgres kb_* tables
    • • project-scoped node membership
    • • workflow steps
    • • entity sources
    • • provenance runs

    Intake machinery

    • • ML-hyphenomenon-project-intake skill
    • • operator prompt with local paths
    • • dossier scaffold
    • • screenshot capture
    • • source-artifact hydration
    • • project-page packets
    • • workflow packets
    • • dry-run/apply reports

    Governance

    • • DOCS/ source of truth
    • • numbered project docs
    • • checkpoint logs with absolute timestamps
    • • docs manifest and link checks

    Evidence

    39 artifacts grouped by type so each kind of proof can be scanned on its own.

    Data models

    6 artifacts

    Workflows

    11 artifacts
    workflowWork date: Date unknown

    Chat intake and publication

    How an AI conversation becomes a durable Hyphenomenon chat record while its complete transcript stays private by default and only reviewed, public-safe context reaches the live site.

    6 steps1 record
    workflowWork date: Date unknown

    Human-in-the-loop archive workflow

    How raw work traces become reviewed public evidence across Hyphenomenon's projects, notes, workflows, chats, screenshots, and map.

    6 steps1 record
    workflowWork date: Date unknown

    Image evidence intake

    How a screenshot, photo, mockup, diagram, or scan becomes a first-class evidence object with source provenance, verified media, and explicit project or chat relationships.

    6 steps1 record
    workflowWork date: Date unknown

    Local review and promotion loop

    How a generated Hyphenomenon project stays editable and accountable after the first intake run: local pages expose the draft record, the operator reviews narrative, artifacts, workflows, and graph links, then decides whether to revise the packet, keep the record local, or later request a separate production apply.

    6 steps1 record
    workflowWork date: Date unknown

    Note hydration intake

    How a curated source document or hydration payload becomes a public note without requiring a full project re-import or turning unreviewed source material into public copy.

    6 steps1 record
    workflowWork date: Date unknown

    Prompt-to-project intake workflow

    How a new Hyphenomenon project starts with one operator prompt that names the intake skill, local repo path, project title, and route context, then becomes a reviewable project page, workflow record, notes, screenshots, and graph membership through scaffold, hydration, dry-run, and human approval.

    10 steps1 record
    workflowWork date: Date unknown

    Report artifact intake

    How a generated or curated report becomes a public artifact through an exact source window, aggregate-only content, deterministic validation, guarded database sync, and live verification.

    6 steps1 record
    workflowWork date: Date unknown

    Twice-weekly Chronicle publisher

    How the active Monday-and-Thursday automation finds missing completed Chronicle days, proves source coverage, generates privacy-safe reports, publishes eligible artifacts, and retains unresolved dates for review.

    6 steps1 output
    workflowWork date: Date unknown

    Watch Platform Updates for Changes That Matter to Existing Work

    A recurring review pattern from the September 11 automation-creation conversation. Scheduled checks compare installed builds and official shipped changes, maintain a baseline, and produce an evidence-backed alert only when the change affects permissions, controls, integrations or the need for custom work. The source established configuration, not later execution proof.

    6 steps1 record
    workflowWork date: Date unknown

    Weekly Codex report publisher

    How the active Monday automation turns the most recently completed Codex week into one public-safe report through exact-window generation, validation, additive publication, and live proof.

    6 steps1 output
    workflowWork date: Date unknown

    Workflow artifact intake

    How a repeatable process becomes a first-class public workflow with concrete steps, source provenance, human review, project membership, and a rendered diagram.

    6 steps1 record

    Images

    8 artifacts

    Chats

    6 artifacts
    chatWork date: Jul 14, 2026

    Codex Chat Candidate Audit and Visual Inventory

    Forked Codex operations thread that finished the TMORA chat intake follow-through, generated supporting Figma view links, formalized a manual six-week Codex chat candidate audit, inventoried chat and visual evidence candidates, and preserved a docs-only Context Layer compliance proposal while avoiding unapproved live plugin-cache changes.

    1 chat
    chatWork date: Jul 13, 2026

    Hyphenomenon Intake Preview and Release Boundary Incident

    Large Hyphenomenon operations thread that began with TMORA chat intake and local preview verification, expanded into additional chat intakes, candidate-review infrastructure, preview/production promotion and branch reconciliation, and ended with a read-only incident audit after unapproved homepage and card work reached main and production.

    1 chat
    chatWork date: Aug 16, 2026

    Motion and Interaction Design with AI

    A long-running Codex design and implementation task that exposed both the promise and the failure modes of delegating complex GSAP motion to frontier AI models: early code-complete concepts repeatedly missed basic spatial intent, while source-image tracing, real-browser frame capture, and 101-frame contact sheets created a much more reliable visual feedback loop.

    1 chat
    chatWork date: Jul 19, 2026

    Motion Animation Evaluation

    ChatGPT planning conversation that clarified Motion Design Director should center the taste layer for frontend motion, delegate GSAP API details to official GSAP skills, and use a plugin container when the goal is to bundle the custom taste skill with official skills and optional MCP support.

    1 chat
    chatWork date: Jul 15, 2026

    Motion Design Director Plugin Build

    Codex planning and implementation thread that turned a motion-design critique transcript into a local-first `motion-design-director` Codex plugin, bundled official GSAP skills as the implementation layer, pushed the package to the `codex-skills` repository, reconciled the normal local checkout, and drafted prompts for using the plugin to critique Hyphenomenon homepage motion.

    1 chat
    chatWork date: Jul 15, 2026

    Sol Context Layer Compliance Playground

    Codex diagnostic and build thread that investigated why Sol 5.6 was not reliably following repo-installed Context Layer governance, clarified that the issue was likely model-specific instruction-discovery/adherence rather than Context Layer setup, and created a local scenario-based compliance playground for testing future models without reintroducing noisy docs churn on tiny changes.

    1 chat

    Notes

    8 artifacts
    noteWork date: Date unknown

    How This Site Works Intake Dossier

    How This Site Works is an onboarding project for Hyphenomenon itself: it explains how a new project can start with one operator prompt that names the Hyphenomenon intake skill, the local repo path, source paths, a project title, and route context.

    1 topic1 scope
    noteWork date: Date unknown

    ../../DOCS/solution-implementation.md

    Source Summary title: Solution Implementation description: How Hyphenomenon implements its editorial public-experience and living-map strategy via data model...

    1 topic1 scope
    noteWork date: Date unknown

    ../../DOCS/features/projects.md

    Source Summary title: Projects description: Public list/detail pages for project supernodes that function as Hyphenomenon's primary project and proof surface...

    1 topic1 scope
    noteWork date: Date unknown

    ../../DOCS/features/workflows.md

    Source Summary title: Workflows description: Public list/detail pages for workflow entries with Mermaid diagrams sourced from the merged content catalog stat...

    1 topic1 scope
    noteWork date: Date unknown

    ../../DOCS/database/operations-and-maintenance.md

    Source Summary title: Database Operations and Maintenance description: Operational procedures for Neon persistence, migrations, verification, and rollback st...

    1 topic1 scope
    noteWork date: Date unknown

    How It Works

    Hyphenomenon turns selected evidence from my work into a connected public record. It does not continuously watch everything I do or automatically scan every...

    1 topic1 scope
    noteWork date: Date unknown

    Native Capability Before Custom Work

    A decision rule from the Gmail reassessment: use native overlap to reduce maintenance, preserve only needed safeguards, and make retirement conditional on real account and reporting evidence.

    3 topics1 scope
    noteWork date: Date unknown

    Source durability is not report coverage

    Hyphenomenon’s September reporting pause separates four proof obligations: collection, recoverable archives, machine coverage and publication. A local multi-root collector does not establish cross-host aggregation; preserving collection while publication is paused keeps the repair path open.

    3 topics1 scope

    Connected references

    Key dates

    2026-05-08
    Homepage living-archive story introduced

    Project 1051 added the AI-optimist diary framing and the first How this site works homepage section.

    2026-05-09
    How This Site Works promoted to project

    Project 1052 created the first canonical project/onboarding route and local intake fixture.

    2026-05-09
    P3 proof-record guards added

    Project 1049 added required project-page packet checks, overwrite guards, evidence-only append mode, hydration caps, and workflow packet quality gates.

    2026-05-10
    Operator-prompt workflow clarified

    The P3 How This Site Works record was rewritten to show that new project creation starts with one intake-skill prompt plus local paths, then proceeds through scaffold, hydration, dry-run, local apply, and human review.