Advanced techniques, production patterns, and real-world case studies from the frontier of LLM applications.
Zero-shot CoT fails on complex tasks. Few-shot helps but costs tokens. Structured CoT with self-consistency sampling delivers 94% recall on legal contract review — here's the exact pattern we use in production.
Read full article →LLM-as-judge is noisy. Human eval doesn't scale. We combine automated metrics, synthetic test generation, and active learning loops to achieve 91% accuracy on support ticket routing with 80% less manual review.
Read full article →Indirect prompt injection via RAG retrieval is the real threat. We cover instruction hierarchy, delimiter strategies, input sanitization, and audit logging patterns that pass compliance review.
Read full article →Token reduction isn't about shorter prompts — it's about semantic caching, prompt compression, and intelligent model routing. Real numbers from migrating 2M monthly requests.
Read full article →Shallow personas break under multi-turn conversation. We show deep persona construction with consistency checks, memory injection, and multi-persona orchestration for specialized domains.
Read full article →LLMs hallucinate JSON keys. We cover constrained decoding, parser-aware prompting, fallback strategies, and production templates for code review, research synthesis, and data extraction.
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