PromptSri.AI

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Field notes from building AI systems that survive contact with users.

No trend pieces. Just the patterns, measurements, and failure modes we run into while shipping prompt systems and content pipelines.

Chain-of-Thought Prompting Without the Hand-Waving
Prompt Engineering24 July 20268 min read

Chain-of-Thought Prompting Without the Hand-Waving

Reasoning steps are not magic words. Here is when step-by-step prompting actually improves output quality, and when it just burns tokens.

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Writing System Prompts That Hold Up in Production
Prompt Engineering11 July 20269 min read

Writing System Prompts That Hold Up in Production

A system prompt is a contract, not a personality quiz. A layered structure that survives edge cases, model swaps, and six months of feature creep.

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RAG Basics That Actually Move the Needle
LLM Ops28 June 202610 min read

RAG Basics That Actually Move the Needle

Retrieval quality sets the ceiling on answer quality. Chunking, hybrid search, and the reranking step most teams skip.

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Evaluating AI Output Without Fooling Yourself
LLM Ops14 June 20267 min read

Evaluating AI Output Without Fooling Yourself

Vibe checks scale to about ten examples. Build a small eval harness in an afternoon and stop shipping regressions.

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An AI Content Workflow That Doesn't Read Like AI
AI Content30 May 20268 min read

An AI Content Workflow That Doesn't Read Like AI

The generic-draft problem is a process problem. A five-stage pipeline where the model does research and structure, and a human keeps the voice.

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Seven Prompt Patterns Worth Reusing
Prompt Engineering16 May 20269 min read

Seven Prompt Patterns Worth Reusing

Persona, rubric, few-shot, decomposition, self-critique, escape hatch, and format lock — with the failure each one repairs.

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