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How to Build a Reliable LLM Pipeline for Your AI MVP Without Over-Engineering
Practical techniques for testing and validating LLM outputs in production, drawn from real shipping experience with AI-powered job boards and document tools.
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Your AI Agent Is Only as Reliable as Your Observability Layer
How logging, cost tracking, and error monitoring turned a fragile LLM pipeline into a production system processing 10k jobs daily.
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Stop Thinking of LLMs as AI Models. Start Thinking of Them as Distributed Systems.
A few months ago, I shipped my first "production-ready" AI application. It worked beautifully — right...
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How to Build a Reliable LLM Pipeline for Your AI MVP Without Over-Engineering
Practical techniques for testing and validating LLM outputs in production, drawn from real shipping experience with AI-powered job boards and document tools.
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Building a Production-Grade AI Pipeline: Scoring 10,000+ Listings Daily with LLMs
Architecture decisions, cost management, and error handling for LLM pipelines at scale. Real lessons from a production job board platform.
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Production AI Scoring: Processing 10,000+ Job Listings Daily with GPT-4
A senior engineer's walkthrough of building a production LLM scoring pipeline: architecture, cost control, function calling, and real trade-offs.