Make AI agents your unfair advantage

Make AI agents your unfair advantage

With Claude, you can build AI agents that plan, act, and collaborate more effectively.

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Powerful, collaborative, and safe AI agents

Get superior reasoning and human-quality responses.

Best model for AI agents

Claude outperforms other models in AI agent scenarios from customer support to coding.

AI agents with a human touch

Claude’s conversational style leads to true collaboration between AI agents and users.

AI that protects your brand

Claude ranks highest on honesty, jailbreak resistance, and brand safety.

Building effective agents

What the Anthropic Engineering team has learned from working with customers and building agents ourselves.

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3x

Reduction in code churn

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Build AI agents with the Claude Developer Platform

Integrate Claude’s powerful AI capabilities into your apps and deliver production-grade agents faster.

You are an AI assistant specialized in classifying customer support tickets. Your task is to analyze the content of a given ticket and assign it to the most appropriate category from a predefined list. You will also provide reasoning for your classification decision.

First, let's review the available categories:

<category_list>
{{CATEGORY_LIST}}
</category_list>

Now, here is the content of the support ticket you need to classify:

<ticket_content>
{{TICKET_CONTENT}}
</ticket_content>

Please follow these steps to complete the task:
– Carefully read and analyze the ticket content.
– Consider how the content relates to each of the available categories.
– Choose the most appropriate category for the ticket.
– Provide a detailed explanation of your reasoning process.

Use the following structure for your response:
<classification_analysis>
In this section, break down your thought process:
– Quote the most relevant parts of the ticket content.
– List each category and note how it relates to the ticket content.
– For each category, provide arguments for and against classifying the ticket into that category.
– Rank the top 3 most likely categories.
</classification_analysis>

<classification>
<category>Your chosen category goes here</category>
<reasoning>A concise summary of your reasoning for choosing this category</reasoning>
</classification>

Remember to be thorough in your analysis and clear in your explanation. Your goal is to provide an accurate classification with well-supported reasoning.

Deliver more effective
AI agents

  • Build agents and workflows with our API
  • Test and refine prompts in the Workbench
  • Build frontier capabilities into your agents
  • Empower any developer to build AI agents

Collaborate with Claude on coding tasks

Claude Code is an agentic tool. Developers work with Claude directly from their terminal, delegating tasks from code migrations to bug fixes.

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See customer stories

“On our 93-task coding benchmark, Claude Opus 4.7 lifted resolution by 13% over Opus 4.6, including four tasks neither Opus 4.6 nor Sonnet 4.6 could solve. Combined with faster median latency and strict instruction-following, it's particularly meaningful for complex, long-running coding workflows. It cuts the friction from those multi-step tasks so developers can stay in the flow and focus on building.”

Mario Rodriguez, Chief Product Officer

“For complex multi-step workflows, Claude Opus 4.7 is a clear step up: plus 14% over Opus 4.6 at fewer tokens and a third of the tool errors. It's the first model to pass our implicit-need tests, and it keeps executing through tool failures that used to stop Opus cold. This is the reliability jump that makes Notion Agent feel like a true teammate.”

Sarah Sachs, AI Lead

“For Ramp, Claude Opus 4.7 stands out in agent-team workflows. We’re seeing stronger role fidelity, instruction-following, coordination, and complex reasoning, especially on engineering tasks that span tools, codebases, and debugging context. Compared with Opus 4.6, it needs much less step-by-step guidance, helping us scale the internal agent workflows our engineering teams run.”

Austin Ray, Software Engineer

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