Thinking Out Loud on Platform Engineering, AI, & SaaS
We share real-world engineering patterns, architectural trade-offs, and practical lessons from building high-scale multi-tenant SaaS platforms and enterprise AI systems.
LLM Integration Patterns for Enterprise Applications: Beyond the Demo
Getting a GPT-4 demo working takes an afternoon. Getting it to reliably process 10,000 documents per day in production, with audit trails, cost controls, and zero hallucinations on structured outputs, is a different engineering problem entirely.
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