How Shorts Factory uses a 16-stage deterministic pipeline with SQLite checkpointing to process hour-long videos into publishable shorts.
Section-sequential generation with cross-section coherence audits and guarded micro-fixes from A2A Brainstorm.
Task-based agent loops with bounded retries, checkpoint rollback, and quality gates in skeleton-parallel.
What this knowledge base covers — systems architecture, production patterns, and lessons from real engineering work.
Architecture of an autonomous YouTube production system built on deterministic pipelines and database-backed state machines.
Autonomous prediction market agent with signal processing, risk gates, and real-time capital protection.
Why most AI pipelines fail in production — and how idempotent workers plus database state make them reliable.
Using the database as the single source of truth to drive reliable workflow execution in distributed systems.
Central orchestrator patterns for coordinating AI workers, models, and pipelines without agent chaos.
Engineering patterns for constraining LLM behavior — boundaries, validation, and rollback in production AI.