prompt engineering

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How to Create Custom Skills in Claude: A Step-by-Step Guide

Claude can review data, check code, write reports, and prepare presentations, but teams still end up repeating the same structure, validation rules, company standards, and final-check instructions in every conversation. That repetition wastes time and often leads to inconsistent results. Custom Skills solve this by packaging reusable instructions, workflows, templates, scripts, examples, and reference files […]

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The three components you need to use agentic AI with SAS

Learn how SAS 9 programmers can use agentic AI tools such as Claude Code and ChatGPT Codex with SASPy to automate code generation, execution, testing, and debugging while maintaining human oversight, validation, and ownership of results. The post The three components you need to use agentic AI with SAS appeared first on SAS Blogs.

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Prompt Compression Techniques: How to Reduce LLM Costs Without Losing Important Context

Large language models often receive more information than they need. A prompt may include long instructions, retrieved documents, chat history, examples, and tool descriptions. This increases token usage, cost, and response time. It can also make important details harder for the model to identify. Prompt compression reduces the prompt while keeping the key meaning, instructions,

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Inside the Claude Fable 5 System Prompt: A Full Breakdown

THE GIST ▸ What it is: A 3,826-line system prompt steering Claude Fable 5 inside the Claude app, pulled from a public GitHub archive. ▸ What’s in it: Rules about safety, tone and restraint. ▸ Why it matters: it shows a frontier “AI” is far more an engineered rulebook than a mysterious mind. Before your

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What is Meta Prompting and How does it work?

Prompts shape every interaction with a large language model. Clear instructions produce focused, useful responses, while vague ones often lead to inconsistent results. This becomes harder when teams need the same task completed repeatedly in a fixed format, tone, or structure. Meta-prompting asks the model to design a reusable prompt, template, checklist, or workflow before

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Fine-Tuning vs RAG vs Prompt Engineering 

AI demos often look impressive, delivering fast responses, polished communication, and strong performance in controlled environments. But once real users interact with the system, issues surface like hallucinations, inconsistent tone, and answers that should never be given. What seemed ready for production quickly creates friction and exposes the gap between demo success and real-world reliability.

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Top 7 Free Prompt Engineering Courses with Certificates

Prompt engineering has become the most practical AI skill you can learn today. Whether you’re using ChatGPT, Claude, or Gemini, the quality of your prompts directly determines the results. The barrier to entry is low. You don’t need programming experience to start. But knowing how to ask AI questions casually is very different from understanding

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Prompt Repetition: The Overlooked Hack for Better LLM Results

Have you ever asked an LLM a question, changed the wording a few times, and still felt the answer wasn’t quite right? If you’ve worked with tools like ChatGPT or Gemini, you’ve probably rewritten prompts, added more context, or used phrases like “be concise” or “think step by step” to improve results. But what if

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