Internal R&D demonstrating what production-grade AI engineering actually looks like — the unglamorous parts that separate operational systems from demos. The same patterns apply directly to client AI workloads.
Production pipeline ingesting sixteen YouTube channels, fetching transcripts at rate-limit-safe pace, sending them to Claude for classification and structured summarization, and serving a live dashboard.
Interactive Bitcoin price-behavior analysis tool. Multi-timeframe data ingestion, percentile band computation, self-hosted HTTP server. Same patterns apply to supply-chain, manufacturing OEE, or healthcare utilization analytics.
These projects are internal R&D demonstrating the engineering discipline we bring to client AI engagements. The same patterns apply directly to client workflows.
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