Context for reviewers:
ALHAZEN is a systems demo exploring structured, deterministic AI orchestration.
While this demo uses a cinematic domain, the core focus is on multi-step decision flows,
intent reinforcement, guardrails, and predictable execution - principles directly applicable
to autonomous, tool-using AI agents in production environments.
Live Demo
Structured cinematic intelligence for the next generation of AI creators.
Generation is easy. Direction is hard. ALHAZEN solves the hard part.
AI video isn't about prompts. It's about structure - shots, pacing, continuity.
Engine: Scene - Shot - Render
Player: Single-video architecture
Fade: 500ms cinematic
Preload: Adaptive
ALHAZEN ENGINE OVERVIEW
Scene → Shot → Render → Player
└─ Real-time sequencing
Shot layer: Camera • Lighting • Grade
└─ Visual & style reinforcement
AI director intent layer (experimental)
Canonical scene-shot-render-player flow is enforced to keep the system deterministic and reviewer-verifiable.
ALHAZEN generates a real-time shot sequence with consistent pacing, style continuity, and transitions - with no timeline and no manual editing.
At a system level, this demo demonstrates how complex outputs can be generated through explicit state transitions, intent layers, and deterministic sequencing rather than ad-hoc prompting.
Shot-aware scene intelligence that structures and sequences cinematic units.
AI-driven intent layer reinforcing pacing, transitions, and continuity.
Consistent style management across shots via the reinforcement engine.
AI video today is chaotic and inconsistent. ALHAZEN enables structured cinematic generation - scalable, fast, predictable.
The same architecture is designed to generalize beyond video toward autonomous, tool-using AI systems that require controlled execution and clear operational boundaries.
This demo represents the cinematic output layer, not the full Director Engine.
If you’d like to see the Director Engine roadmap or episode-level prototypes, I’m happy to share more.