Claude :Prompt Engineering Patterns, JSON Prompting & more

Master the Claude interface basics, including the left toggle bar, chats, projects, artifacts, and the prompt window. Explore web search, connectors, model options, and incognito mode.

Explore prompt engineering patterns with Claude, using step-by-step instructions to streamline prompts, compare pros and cons, craft concise summaries, and predict five-year trends.

Learn how role based prompt engineering pattern assigns a specific role to an AI model to craft content like blog posts and emails through prompt stacking.

Explore the specific information prompt engineering pattern to extract focused knowledge from broad topics, using role-based prompts and stacked patterns to constrain learning on fundamentals and forces.

Learn how pattern 4 uses multiple perspectives and role-based prompts to analyze cars from poor and middle-class viewpoints, weaving in elasticity, demand, and economic factors.

Explore the example and counterexample prompt engineering pattern, a powerful method for refining models by contrasting an example with a counterexample, featuring real estate prompts and prompt stacking.

Master contextual prompting in prompt engineering by analyzing transportation in the context of global warming. Use step-by-step prompts to present consequences and 5 to 7 methods to reduce the impact.

Explore comparative questions as a prompt engineering pattern, guiding you to compare two options with structured sections like nature, culture, food, and pricing using a master prompt.

Analyze contextual constraint prompt engineering patterns by applying limits around tasks to the AI, such as constraining emails to under 250 words or 250 characters with a simple, professional tone.

Learn how to craft clear and complete questions using prompt engineering pattern 9, focusing on specific commercial real estate prompts to reduce effort, time, and ambiguity.

Explore how the clarifying questions prompt pattern eliminates ambiguity by demanding complete, specific prompts and guiding prompt stacking to prevent objections from artificial intelligence models.

Discover how JSON prompting uses JavaScript object notation to replace long prompts with structured, machine-readable instructions. Learn to craft role-based prompts with quotes, colons, brackets, and word limits.

Explore reverse prompting and define a basic structure so an ai model can expand into a strong prompt, then refine with step-by-step constraints and json prompts.

Learn to code with Claude by using it to debug Python, remove errors, and generate simple HTML and CSS web pages that present a social sciences thesis.