Prompts on AI Knowledge Base

AI Fluency: Framework & Foundations

Mon, 01 Jan 0001 00:00:00 +0000

Anthropic’s foundational AI fluency course teaching the 4D Framework — Delegation, Description, Discernment, and Diligence — for effective AI collaboration. Co-created with university professors (UCC, Ringling College), this goes beyond prompt engineering to teach a systematic approach for working with AI effectively, efficiently, ethically, and safely. The 4D Framework provides a mental model that transfers across any AI tool, not just Claude. Start here before the audience-specific fluency courses.

Building with the Claude API

Mon, 01 Jan 0001 00:00:00 +0000

The most comprehensive free course on building with Claude’s API — 21 lessons covering everything from basic API calls to tool use, structured outputs, and agent patterns. This is Anthropic’s flagship developer course and the definitive companion to the Claude API documentation in this knowledge base. If you’re building production applications with Claude, this course provides the hands-on practice that documentation alone cannot. Take this alongside the Claude API Essentials learning path.

Prompt Engineering Across Providers

Mon, 01 Jan 0001 00:00:00 +0000

Master prompt engineering by studying best practices from Anthropic, OpenAI, and Mistral. Then see how DSPy challenges the entire paradigm by replacing prompts with programs.

Comparing approaches across providers gives you deeper intuition than studying any single provider’s guide.

AI Fluency for Educators

Mon, 01 Jan 0001 00:00:00 +0000

Applies the 4D AI Fluency Framework specifically to teaching and institutional strategy. Designed for faculty, instructional designers, and educational leaders who need to integrate AI into curricula responsibly. Covers practical scenarios: classroom policies, assignment design, academic integrity, and helping students develop AI skills. Take this after the Framework & Foundations course for education-specific applications.

How to Write a Good Spec for AI Agents

Mon, 01 Jan 0001 00:00:00 +0000

Practical guide to writing specifications that AI coding assistants can follow effectively, with templates and examples of good versus bad specs.

ChatGPT Prompt Engineering for Developers

Mon, 01 Jan 0001 00:00:00 +0000

The most popular prompt engineering course available — taught by Isa Fulford (OpenAI) and Andrew Ng. In just one hour, covers prompting best practices, iterative prompt development, summarizing, inferring, transforming, and expanding text. Despite the OpenAI branding, the techniques apply to any LLM. The concise format makes it the ideal first technical introduction to prompt engineering before exploring provider-specific approaches in Anthropic’s and OpenAI’s documentation.

Claude API Essentials

Mon, 01 Jan 0001 00:00:00 +0000

Learn the Anthropic API from first principles. Covers the Messages API, tool use, streaming, structured outputs, extended thinking, and cost optimization.

Claude 101

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use Claude effectively for everyday work tasks. Covers Claude’s core features, capabilities, and resources for more advanced learning. This is the official product training course for Claude — take it to understand Claude’s strengths and how to get the most out of it before diving into API-level courses or the developer track.

Build with Claude — Overview

Mon, 01 Jan 0001 00:00:00 +0000

Central hub for understanding how to build applications with the Claude API.

AI Safety & Guardrails

Mon, 01 Jan 0001 00:00:00 +0000

Master the techniques for building safe, responsible AI applications across providers. This path covers content moderation, jailbreak defense, hallucination reduction, and guardrail patterns — drawing from 6 different sources to show how each provider approaches safety differently.

Cross-provider comparison is central to this path: OpenAI uses a separate moderation endpoint, Anthropic leverages the main model with prompt design, Mistral has its own categorization, and Cohere offers declarative safety modes. Understanding all approaches lets you build defense-in-depth systems.

Working With Messages

Mon, 01 Jan 0001 00:00:00 +0000

The Messages API is the core primitive — understand message roles, content blocks, and conversation structure.

Claude Prompting Best Practices

Mon, 01 Jan 0001 00:00:00 +0000

This is the most practically useful prompt engineering resource from Anthropic and contains techniques that will materially improve your output quality. Focus on the XML tag structuring approach, which is Claude’s preferred method for delineating sections of complex prompts and produces notably better results than unstructured instructions. A common mistake is transferring prompt patterns that work well with GPT-4 directly to Claude without adaptation – Claude responds better to direct instructions and explicit role definitions than to few-shot example-heavy prompts. Read through the examples carefully and experiment with each technique in the API playground before applying them to production prompts.

Compare model performance using the Evaluation Playground

Mon, 01 Jan 0001 00:00:00 +0000

Compare and evaluate model performance without code using Weave’s interactive playground, running evaluations with custom datasets and LLM judges to test system prompts, models, and scoring criteria in a visual interface.

Compare traces and other logged information

Mon, 01 Jan 0001 00:00:00 +0000

Visually compare and diff code, traces, prompts, models, and configurations

Completions API

Mon, 01 Jan 0001 00:00:00 +0000

Use the completions API for raw text generation with custom prompt templates

Configure prompt settings

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Context strategies

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Control what past messages, attachments, and tool runs are injected into prompts.

Create a prompt

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Customize Deep Agents

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to customize deep agents with system prompts, tools, subagents, and more

Customize Deep Agents

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to customize deep agents with system prompts, tools, subagents, and more

Customizing Prompts

Mon, 01 Jan 0001 00:00:00 +0000

Dive deeper into low-level prompt customization for CrewAI, enabling super custom and complex use cases for different models and languages.

Developer quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use the OpenAI API to generate human-like responses to natural language prompts, analyze images with computer vision, use powerful built-in tools, and more.

DSPy Prompt Optimization

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use dspy prompt optimization with W&B Weave

Evaluate a prompt

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Evaluation Prompts

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Frontend prompt instructions

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Example prompt instructions for frontend work, written for GPT-5.5.

Hooks reference

Mon, 01 Jan 0001 00:00:00 +0000

Reference for Claude Code hook events, configuration schema, JSON input/output formats, exit codes, async hooks, prompt hooks, and MCP tool hooks.

How to build a Lovable clone with Kimi K2

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to build a full-stack Next.js app that can generate React apps with a single prompt.

How to sync prompts with GitHub

Mon, 01 Jan 0001 00:00:00 +0000

Image Generation

Mon, 01 Jan 0001 00:00:00 +0000

Generate high-quality images from text + image prompts.

Image Generation Prompt iteration

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Include multimodal content in a prompt

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Iterate and Improve Prompts

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Koog

Mon, 01 Jan 0001 00:00:00 +0000

Trace Kotlin-based Koog agents with Weave’s built-in OpenTelemetry support, capturing single-run and complex workflow executions, tool calls, prompts, and completions for full observability of your Kotlin AI applications.

LangSmith MCP Server

Mon, 01 Jan 0001 00:00:00 +0000

Use the Model Context Protocol (MCP) server to let language models fetch conversation history, prompts, runs, datasets, experiments, and billing from LangSmith.

LangSmith Polly

Mon, 01 Jan 0001 00:00:00 +0000

Library

Mon, 01 Jan 0001 00:00:00 +0000

Anthropic’s prompt library is one of the fastest ways to internalize effective prompting patterns for Claude. Rather than reading it cover-to-cover, focus on prompts in your domain and study the structural techniques they use – XML tags for delineation, role-setting in the system prompt, and explicit output format instructions. Pay attention to how each example balances specificity with flexibility; overly rigid prompts tend to break when inputs vary. These curated examples also serve as a useful baseline when benchmarking your own prompts against known-good patterns.

Manage prompts

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Manage prompts programmatically

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Manage Weave Projects

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Use Weave projects to organize related assets like traces, prompts, evaluations, models, and dashboards.

Metrics Prompt Alignment

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Migrate from prompt objects

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to migrate from reusable prompt objects to versioned prompts in your application code.

Migrating Monolithic Prompts to Command A with RAG

Mon, 01 Jan 0001 00:00:00 +0000

This page contains a discussion of how to automatically migrating monolothic prompts.

Model customization

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to customize LLMs for your application with system prompts, fine-tuning, and moderation layers

Modify Prompts

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Modifying System Prompts

Mon, 01 Jan 0001 00:00:00 +0000

System prompt modification in the Agent SDK controls how you customize agent behavior, persona, and constraints without forking the SDK’s default prompt scaffolding. Focus on the merge strategy — the SDK combines your custom instructions with its own internal prompts, and understanding this layering prevents conflicts where your instructions get overridden or diluted. A critical pitfall is inadvertently removing safety-relevant default instructions when overriding the system prompt wholesale rather than appending to it. Start with targeted modifications using the provided extension points before considering full prompt replacement.

Optimizing LLM Accuracy

Mon, 01 Jan 0001 00:00:00 +0000

Learn strategies to enhance the accuracy of large language models using techniques like prompt engineering, retrieval-augmented generation, and fine-tuning.

Overview

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This overview establishes the conceptual framework for prompt engineering with Claude and should be read before diving into specific techniques or best practices. Focus on how Claude’s instruction-following behavior differs from other models – Claude tends to be more literal in its interpretation of prompts, which means precise wording matters more than with some competitors. The page introduces key concepts like system prompts, role assignment, and output formatting that are referenced throughout all other prompt engineering materials. After reading this, proceed to the best practices guide for actionable techniques you can apply immediately.

Prompt

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Prompt caching

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Prompt caching

Mon, 01 Jan 0001 00:00:00 +0000

Learn how prompt caching reduces latency and cost for long prompts in OpenAI’s API.

Prompt Caching

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Prompt engineering

Mon, 01 Jan 0001 00:00:00 +0000

Prompt engineering

Mon, 01 Jan 0001 00:00:00 +0000

Learn strategies and tactics for better results using large language models in the OpenAI API.

Prompt engineering concepts

Mon, 01 Jan 0001 00:00:00 +0000

Prompt engineering quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Prompt Evaluation Quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Prompt generation

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to generate prompts, functions, and schemas in the OpenAI API’s Playground.

Prompt guidance for GPT-5.4

Mon, 01 Jan 0001 00:00:00 +0000

Learn prompt patterns and migration guidance for GPT-5.4, including completeness checks, verification loops, tool persistence, and structured outputs.

Prompt Library

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Prompt Optimization Copro

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Prompt Optimization Gepa

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Prompt Optimization Introduction

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Prompt Optimization Miprov2

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Prompt Optimization Simba

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Prompt optimizer

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use your dataset to automatically improve your prompts.

Prompt template format guide

Mon, 01 Jan 0001 00:00:00 +0000

Prompt-based methods

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Prompting

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Prompting capabilities

Mon, 01 Jan 0001 00:00:00 +0000

Learn effective prompting techniques for classification, summarization, personalization, and evaluation with Mistral models

Prompting DeepSeek R1

Mon, 01 Jan 0001 00:00:00 +0000

Prompt engineering for DeepSeek-R1.

Prompting Tools

Mon, 01 Jan 0001 00:00:00 +0000

This guide is the definitive reference for writing effective tool definitions that Claude can invoke reliably. Focus on how parameter descriptions and tool descriptions influence Claude’s decision about when and how to call each tool – vague descriptions lead to incorrect invocations or tool avoidance. A common mistake is defining too many tools in a single request, which degrades selection accuracy; the guide offers practical thresholds. If you are building agentic applications with Claude, read this before the broader tool use documentation, as well-crafted tool prompts are the foundation of reliable agent behavior.

Promptlibrary

Mon, 01 Jan 0001 00:00:00 +0000

Prompts

Mon, 01 Jan 0001 00:00:00 +0000

Prompts are the least commonly used of the three MCP primitives, but they fill an important niche: reusable, parameterized templates that help users invoke common workflows. Think of them as saved recipes that combine a specific prompt structure with dynamic arguments. Unlike tools and resources, prompts are user-initiated – the user explicitly selects a prompt from a menu rather than the model discovering it automatically. This makes them ideal for standardizing repetitive interactions like “summarize this codebase” or “review this PR.”

Quickstart: FLUX.2

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use FLUX.2, the next generation image model with advanced prompting capabilities

Quickstart: Wan 2.7 T2V

Mon, 01 Jan 0001 00:00:00 +0000

Generate videos from text prompts with optional audio input using the Wan 2.7 T2V model.

Reasoning best practices

Mon, 01 Jan 0001 00:00:00 +0000

Best practices for using o-series reasoning models (o1, o3-mini) vs GPT models — covering use cases, model selection, and prompting strategies specific to reasoning models.

Red teaming

Mon, 01 Jan 0001 00:00:00 +0000

Learn how red teaming fits into AI evaluation, including Promptfoo open source and OpenAI Red Teaming for enterprise teams.

Reduce Prompt Leak

Mon, 01 Jan 0001 00:00:00 +0000

Prompt leakage is one of the most common security concerns in production LLM applications, and this guide provides concrete techniques for preventing Claude from revealing system prompts to end users. Focus on the layered defense approach — no single technique is sufficient, so you need to combine prompt structure, output filtering, and behavioral instructions. A frequent mistake is relying solely on “do not reveal your instructions” directives, which are trivially bypassed by indirect extraction attacks. Read this alongside the general guardrails documentation to build a comprehensive safety posture before shipping user-facing agents.

Run an evaluation from the prompt playground

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Run prompts on a schedule

Mon, 01 Jan 0001 00:00:00 +0000

Use /loop and the cron scheduling tools to run prompts repeatedly, poll for status, or set one-time reminders within a Claude Code session.

SEP-973: Expose additional metadata for Implementations, Resources, Tools and Prompts

Mon, 01 Jan 0001 00:00:00 +0000

Expose additional metadata for Implementations, Resources, Tools and Prompts

SEP-973: Expose additional metadata for Implementations, Resources, Tools and Prompts

Mon, 01 Jan 0001 00:00:00 +0000

Expose additional metadata for Implementations, Resources, Tools and Prompts

Serverless Overview

Mon, 01 Jan 0001 00:00:00 +0000

How Serverless inference works on Fireworks: serving paths, billing, request/response headers, prompt caching, model lifecycle, and when to choose Serverless over On-demand

Skills

Mon, 01 Jan 0001 00:00:00 +0000

Filesystem-based skill packages that inject domain expertise and instructions into agent prompts.

Soft prompts

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Store and track versions of prompts

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Retrieve and manage versions of your prompts for LLM applications

Store and track versions of prompts

Mon, 01 Jan 0001 00:00:00 +0000

Store, organize, and track versions of your prompts for LLM applications

Systematic Prompt Optimization

Mon, 01 Jan 0001 00:00:00 +0000

Templates

Mon, 01 Jan 0001 00:00:00 +0000

Start faster with curated Agent Builder templates and customize tools, prompts, and triggers.

Templates

Mon, 01 Jan 0001 00:00:00 +0000

Start faster with curated Fleet templates and customize tools, prompts, and channels.

Text and Chat Completions

Mon, 01 Jan 0001 00:00:00 +0000

Mistral models enable chat and text completions with customizable prompts, roles, and streaming options

Text generation

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use the OpenAI API to generate text from a prompt. Learn about message types and available text formats like JSON and Structured Outputs.

Tool Use With Prompt Caching

Mon, 01 Jan 0001 00:00:00 +0000

Upgrading to GPT-5.4

Mon, 01 Jan 0001 00:00:00 +0000

Guidance for upgrading OpenAI API model strings and directly related prompts to GPT-5.4.

Upgrading to GPT-5.5

Mon, 01 Jan 0001 00:00:00 +0000

Guidance for upgrading OpenAI API model strings and directly related prompts to GPT-5.5.

Use the Playground to experiment with prompts

Mon, 01 Jan 0001 00:00:00 +0000

Simplify the process of iterating on LLM prompts and responses

Use tools in a prompt

Mon, 01 Jan 0001 00:00:00 +0000

Using realtime models

Mon, 01 Jan 0001 00:00:00 +0000

Prompting strategies and usage patterns for OpenAI’s realtime voice and multimodal models via WebSocket connections.

Video Generation

Mon, 01 Jan 0001 00:00:00 +0000

Generate high-quality videos from text and image prompts.

Voice dictation

Mon, 01 Jan 0001 00:00:00 +0000

Use push-to-talk voice dictation to speak your prompts instead of typing them in the Claude Code CLI.

Write your prompt with AI

Mon, 01 Jan 0001 00:00:00 +0000