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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Reduction in code churn

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Build AI agents with the Claude 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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Explore for Enterprise

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See customer stories

“Claude Opus 4.8 sets a new bar for enterprise AI. In Genie, Databricks' AI agent for data and knowledge work, the new Opus model unlocks a step change in agentic reasoning, tackling deeper, multi-step questions faster than any prior Opus. Its multimodal strength also lets Genie reason directly over PDFs, diagrams, and other unstructured content at 61% cheaper token cost than Opus 4.7.”

Hanlin Tang, CTO - Neural Networks

“On our Super-Agent benchmark, Claude Opus 4.8 is the only model to complete every case end-to-end, beating prior Opus models and GPT-5.5 at parity on cost. For agent products in translation, deep research, slide-building, and analysis, it delivers powerful reliability.”

Kay Zhu, Co-Founder and CTO

“Claude Opus 4.8 delivers the highest score recorded on our Legal Agent Benchmark and is the first model to break 10% overall on the all-pass standard. For substantive legal work, that's the kind of accuracy lift that translates directly into how much real attorney work our customers can hand off with confidence.”

Niko Grupen, Head of Applied Research

“Claude Opus 4.8 is the strongest computer-use and browser-agent model we've tested, scoring 84% on Online-Mind2Web which is a meaningful jump over both Opus 4.7 and GPT-5.5. It stays reflective and on-task in the way our customers' agent workloads need to be reliable end-to-end.”

Miguel Gonzalez, Tech Lead

AI agent resources

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