Forge Platform: Governed AI-Enabled Content & Production Systems
How structured content, bounded specialist tools, AI evaluation, human authority, accessibility, and stable contracts form one production architecture.
Executive Summary
Forge is an interconnected family of content and production systems built around one premise: complex creative work becomes more reliable when intent, structure, automation, specialist processing, review, accessibility, and publication share a governed model instead of being coordinated through disconnected files and tribal knowledge.
CourseForge is the structured authoring and governance center. ForgeScaffold turns planning data into deterministic production architecture. Art Request derives production briefs from the same source intent. ForgeClip keeps interactive-video behavior as portable structured data. ForgePack isolates heavyweight media processing. Forge3D models technical-art work as governed jobs with explicit validation and review.
Learn → Experiment → Evaluate → Integrate → Govern. AI becomes product capability only after its useful behavior, failure modes, workflow placement, permissions, and human-review boundaries are understood.
One Governed Source, Bounded Specialist Tools
The architecture deliberately avoids two extremes: treating filenames/folders as the integration API, and forcing every specialist workflow into one universal application. The design target is bounded responsibility + explicit contracts + shared context.
Human ↔ Agent Authority
A model's ability to call a tool is not the same thing as authority to perform the action. Forge separates four states that AI demos often collapse:
Tool availability is constrained by workflow state. Generation does not imply approval; approval does not automatically imply publication.
AI Evaluation: Failure Modes Become Product Constraints
The AI Evaluation Lab turns common model failures into reusable design constraints rather than treating them as prompt-writing accidents.
Schema drift
Output looks plausible but violates the governed object contract or omits required fields.
Unsupported facts
Generated technical specificity is absent from supplied source evidence.
Accessibility gap
A useful media concept lacks text-equivalent intent or depends on color alone.
Agent overreach
The proposed action is technically possible but outside the agent's permitted workflow state.
Validated output
Automated checks pass; the result becomes eligible for human approval, never silently approved.
The recruiter environment can run these cases as bounded deterministic fixtures and exposes schema, grounding, accessibility, authority, provenance, latency, and review requirements. Production actions remain disabled.
Architecture Explorer
The same platform can be inspected through four views. Switch below to see how responsibility changes without changing the underlying source model.
Responsibility is divided by workflow domain while shared context remains stable.
Authoring, governance, review, publishing.
Interactive-video authoring as portable data.
Heavy media processing and QA.
Governed technical-art jobs.
The stable hierarchy is the integration context, not a filename convention.
Program and delivery context.
Instructional grouping and production context.
Renderable behavior, assessment, media, and assets.
Cross-tool contract and traceability layer.
AI participates inside explicit state and permission boundaries.
Defines goals, source, and acceptable outcome.
Generates or proposes within bounded context.
Checks known rules independently of model confidence.
Approve, reject, revise, or permit the next tool.
Deployment boundaries reinforce product boundaries.
Authoring and recruiter evidence surfaces.
Structured application state and analytics aggregates.
Bounded specialist deployments.
Executable content isolated from editor credentials.
Evidence Provenance
Portfolio claims should be inspectable. The Forge recruiter environment uses a simple evidence model:
Claim → Artifact → Code → Decision → Verification
Recruiter guest access is read-only
One canonical content model drives downstream tools
AI output remains human-governed
Design → Code Evidence
The recruiter role-path card is a worked example of how product intent survives implementation.
Recognize a role and enter the right evidence path quickly.
Amber emphasis, raised surfaces, borders, technical mono labels.
Default, hover/focus, active application lens, keyboard focus.
Role data renders from seeded contracts rather than screenshots.
Native buttons, visible focus, textual active state, Escape/focus containment.
Deep links, tests, lazy loading, and live seeded role data.
Accessibility as Production Architecture
Accessibility requirements travel with the work instead of appearing only at final QA. Alt-text intent belongs on visual requests. Captions and transcript expectations belong with time-based media. Focus, keyboard operation, contrast modes, reduced motion, and state labels are component/system responsibilities.
Move from “test the finished asset” to “define what the asset and workflow must support before production begins.”
Operational Quality
A portfolio used in hiring is still a production system. The Forge environment treats reliability as part of the evidence.
Seed data, API schemas, role lenses, provenance, AI evaluation, architecture, and design-system behavior are regression tested.
Recruiter guest reads succeed while writes remain blocked; public portfolio routes do not expose authoring APIs.
Playwright and live smoke runners verify recruiter paths and linked specialist tools before applications are sent.
Recruiter-only evidence is code-split and the initial CourseForge bundle is guarded in CI.
Owner-only health checks surface fixture version, migration state, deployment commit, and linked service status.
Interactive Evidence
Closing Principle
Forge is less about a particular LCMS, media processor, or AI feature than it is about a way of designing systems. Complex work crosses disciplines, tools, and levels of automation. The architecture therefore emphasizes explicit structure, bounded responsibility, stable contracts, visible state, accessibility, human authority, and evidence.
Reduce friction without hiding responsibility.