Building with Claude

Claude is a family of highly performant and intelligent AI models built by Anthropic. While Claude is powerful and extensible, it’s also the most trustworthy and reliable AI available. It follows critical protocols, makes fewer mistakes, and is resistant to jailbreaks—allowing enterprise customers to build the safest AI-powered applications at scale.

This guide introduces Claude’s enterprise capabilities, the end-to-end flow for developing with Claude, and how to start building.

What you can do with Claude

Claude is designed to empower enterprises at scale with strong performance across benchmark evaluations for reasoning, math, coding, and fluency in English and non-English languages.

Here’s a non-exhaustive list of Claude’s capabilities and common uses.

Capability	Enables you to…
Text and code generation	Adhere to brand voice for excellent customer-facing experiences such as copywriting and chatbots Create production-level code and operate (in-line code generation, debugging, and conversational querying) within complex codebases Build automatic translation features between languages Conduct complex financial forecasts Support legal use cases that require high-quality technical analysis, long context windows for processing detailed documents, and fast outputs
Vision	Process and analyze visual input, such as extracting insights from charts and graphs Generate code from images with code snippets or templates based on diagrams Describe an image for a user with low vision
Tool use	Interact with external client-side tools and functions, allowing Claude to reason, plan, and execute actions by generating structured outputs through API calls

Enterprise considerations

Along with an extensive set of features, tools, and capabilities, Claude is also built to be secure, trustworthy, and scalable for wide-reaching enterprise needs.

Feature	Description
Secure	Enterprise-grade security and data handling for API SOC II Type 2 certified, HIPAA compliance options for API Accessible through AWS (GA) and GCP (in private preview)
Trustworthy	Resistant to jailbreaks and misuse. We continuously monitor prompts and outputs for harmful, malicious use cases that violate our AUP. Copyright indemnity protections for paid commercial services Uniquely positioned to serve high trust industries that process large volumes of sensitive user data
Capable	200K token context window for expanded use cases, with future support for 1M Tool use, also known as function calling, which allows seamless integration of Claude into specialized applications and custom workflows Multimodal input capabilities with text output, allowing you to upload images (such as tables, graphs, and photos) along with text prompts for richer context and complex use cases Developer Console with Workbench and prompt generation tool for easier, more powerful prompting and experimentation SDKs and APIs to expedite and enhance development
Reliable	Very low hallucination rates Accurate over long documents
Global	Great for coding tasks and fluency in English and non-English languages like Spanish and Japanese Enables use cases like translation services and broader global utility
Cost conscious	Family of models balances cost, performance, and intelligence

Implementing Claude

1. Scope your use case

   • Identify a problem to solve or tasks to automate with Claude.
   • Define requirements: features, performance, and cost.
2. Design your integration

   • Select Claude’s capabilities (e.g., vision, tool use) and models (Opus, Sonnet, Haiku) based on needs.
   • Choose a deployment method, such as the Claude API, AWS Bedrock, or Vertex AI.
3. Prepare your data

   • Identify and clean relevant data (databases, code repos, knowledge bases) for Claude’s context.
4. Develop your prompts

   • Use Workbench to create evals, draft prompts, and iteratively refine based on test results.
   • Deploy polished prompts and monitor real-world performance for further refinement.
5. Implement Claude

   • Set up your environment, integrate Claude with your systems (APIs, databases, UIs), and define human-in-the-loop requirements.
6. Test your system

   • Conduct red teaming for potential misuse and A/B test improvements.
7. Deploy to production

   • Once your application runs smoothly end-to-end, deploy to production.
8. Monitor and improve

   • Monitor performance and effectiveness to make ongoing improvements.

Start building with Claude

When you’re ready, start building with Claude:

• Follow the Quickstart to make your first API call
• Check out the API Reference
• Explore the Prompt Library for example prompts
• Experiment and start building with the Workbench
• Check out the Claude Cookbook for working code examples