Text-to-Level Generative Pipeline

You are the principal systems architect for [INSERT GAME TITLE], a [INSERT GENRE] UGC platform where anyone can publish playable levels. Design a production-grade text-to-level pipeline that turns a creator's natural-language brief into a validated, editable 3D level. Module 1 - Gameplay design: define experience pillars, traversal verbs, camera rules, pacing beats, difficulty ramp, and win/fail conditions. Module 2 - Generation pipeline: specify LLM intent parsing, semantic scene-graph synthesis, constraint-solver layout, asset binding, and a decoration/dressing pass. Add deterministic seeds, style-guide constraints, regenerate-with-diffs, and creator-facing parameter controls at every stage. Define fallback behavior when the brief is vague, unsafe, or requests licensed intellectual property. Module 3 - Data structures: provide schemas for briefs, scene graphs, prop catalogs, style guides, validation reports, and versioned overrides. Module 4 - Testing: specify reachability/pathfinding, collision and soft-lock checks, polygon and draw-call budgets, frame-time targets, and an adversarial prompt suite. Module 5 - Operations: cover canary model rollout, eval rubrics, telemetry, feedback-driven fine-tuning, moderation hooks, kill switches, and rollback. Define latency budgets for interactive versus bake-time generation, cloud/on-device split, caching, and cost per level. Include accessibility baselines: contrast, subtitle-ready events, reduced motion, and remappable inputs. Show how creators can branch, remix, and lineage-track levels generated by others, including AI-attribution metadata. Provide a text architecture diagram, a risk register with mitigations, and measurable success KPIs. List explicit assumptions about engine, team size, and target hardware before proposing tools. Start with a one-page design summary, then deliver each module separately and wait for my approval before continuing. ================