Building an LLM Observability Stack for Production Teams
How to monitor prompts, latency, quality drift, and user outcomes with a practical observability model.
Infrastructure & Ops
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Tokenizers and Cost: What Product Teams Should Know
Understand tokenization, why language mix changes cost, and how token budgets affect latency and reliability.
GPU Cost Estimation: From Per-Token Math to Monthly Budget
Build a practical cost model by combining throughput, concurrency, cache hit rate, and migration overhead.
Prompt Engineering 101: From Intent to Verifiable Output
Turn prompts into testable specifications with clear goals, constraints, output schema, and fallback behavior.
Attention and Context Windows: What They Actually Limit
A plain-language explanation of attention, context budgets, and why longer context does not automatically mean better answers.
Multimodal Product Launch Checklist: UX, Safety, and Risk
A practical checklist for shipping multimodal features without sacrificing accessibility, privacy, and operational safety.
Structured Output with JSON Schema: Production Essentials
Design reliable schema-driven outputs with validation, failure handling, versioning, and observability.
Local LLM Deployment: A Practical Starting Point
Hardware sizing, runtime choices, privacy boundaries, and when local deployment is worth it.