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target getelementtarget e if target return const t target closest tt trigger if t return onzoneleave document addeventlistener pointerenter handleenter true document addeventlistener mouseenter handleenter true document addeventlistener pointerleave handleleave true document addeventlistener mouseleave handleleave true keyboard document addeventlistener focusin e if e target return const t e target closest tt trigger if t openfromtrigger t document addeventlistener focusout e if e target return const t e target closest tt trigger if t current t closewithanim mobile coarse document addeventlistener pointerdown e if iscoarse return const t e target closest tt trigger if t return e preventdefault e stoppropagation if current t bubble classlist contains is open closewithanim return openfromtrigger t true document addeventlistener click e if iscoarse return if bubble classlist contains is open return const inbubble e target closest tt bubble const ontrigger e target closest tt trigger if inbubble ontrigger closewithanim true close button esc elclose addeventlistener click closewithanim document addeventlistener keydown e if e key escape closewithanim reposition on resize scroll while open const reposition if current return placeanchored current addeventlistener resize reposition passive true addeventlistener scroll reposition passive true meet claude products claude claude code claude cowork claude features claude for chrome claude for microsoft 365 skills claude apps built for design science security models mythos fable opus sonnet haiku platform build on claude overview pricing developer docs console login works with claude ecosystem marketplace connectors plugins solutions use cases ai agents coding company size startups enterprise departments legal security industries customer support education financial services government healthcare life sciences nonprofits pricing overview api resources insights blog customer stories anthropic news learn anthropic academy courses tutorials use cases connect events community login contact sales contact sales contact sales try claude try claude try claude contact sales contact sales contact sales try claude try claude try claude contact sales contact sales contact sales try claude try claude try claude contact sales contact sales contact sales try claude try claude try claude meet claude products claude claude code claude cowork claude features claude for chrome claude for microsoft 365 skills claude apps built for design science security models mythos fable opus sonnet haiku platform build on claude overview pricing developer docs console login works with claude ecosystem marketplace connectors plugins solutions use cases ai agents coding company size startups enterprise departments legal security industries customer support education financial services government healthcare life sciences nonprofits pricing overview api resources insights blog customer stories anthropic news learn anthropic academy courses tutorials use cases connect events community login contact sales contact sales contact sales try claude try claude try claude contact sales contact sales contact sales try claude try claude try claude platform platform explore here ask questions about this page copy as markdown build on the claude platform use our api to create new user experiences products and ways to work with the most advanced ai models on the market start building start building start building see developer docs see developer docs see developer docs claude fable 5 is the state of the art model on cursorbench it s opened up a class of long horizon problems that were out of reach for earlier models michael truell ceo and co founder the decision to choose claude was entirely data driven we tested multiple model providers side by side and claude consistently delivered the best results for case resolution rates and customer satisfaction scores read story read story read story timothy addison engineering org chief of staff claude fable 5 came out 1 on our evals winning head to head against every model we tested it was significantly stronger on the hardest tasks in the set ui design and game coding kay zhu co founder cto the partnership with anthropic has been exceptional their guidance and support have helped our engineering teams maximize the models read story read story read story joel hron cto claude fable 5 is the highest scoring model on frontierbench cognition s frontier coding eval it excels at long horizon reasoning and generalizes to unfamiliar tools out of the box scott wu ceo 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 vibench our end to end vibe coding benchmark claude fable 5 is the highest performing model we ve tested nearly saturating our base use cases and building apps in less time with fewer tokens michele catasta president head of ai on our long running evals claude opus 4 8 s analysis was consistently higher quality than prior opus models it finished faster and produced richer more information dense outputs overall a noticeably better signal to noise ratio the biggest differentiator was opus 4 8 s tendency to proactively flag issues with the inputs and outputs of an analysis something other models routinely missed and left to the users to catch michael ran sr investment associate claude fable 5 is the strongest finance first model we ve tested both on general finance and reasoning it s a notable step up damian miraglia principal engineer applied ai with claude we re not just automating customer service we re elevating it to truly human quality this lets support teams think more strategically about customer experience and what makes interactions genuinely valuable read story read story read story fergal reid vp of ai claude fable 5 is the new leader on automationbench consistently higher than opus 4 8 and more autonomous where opus stops to ask fable 5 keeps looking wade foster ceo prev prev 0 5 next next choose how to get started build on your own launch your own generative ai solution with access to all claude models usage based tiers automatically increasing rate limits simple pay as you go pricing self serve deployment on workbench prompting guides and developer docs start building start building start building get extra support need custom rate limits or hands on help contact our sales team for anthropic supported onboarding custom rate limits billing via monthly invoices prompting support deployment support contact sales contact sales contact sales claude models right sized for any task our models offer the best combination of speed and performance start building start building start building learn more learn more learn more save 50 with batch processing learn more batch processing fable 5 next generation intelligence for long running agents input 10 mtok output 50 mtok prompt caching write 12 50 mtok read 1 00 mtok opus 4 8 ideal for complex agentic coding and enterprise work input 5 mtok output 25 mtok prompt caching write 6 25 mtok read 0 50 mtok sonnet 5 high performance model for coding and agents input 2 mtok output 10 mtok prompt caching write 2 50 mtok read 0 20 mtok introductory pricing of 2 10 per million input output tokens through august 31 2026 3 15 standard pricing thereafter haiku 4 5 fastest most cost effective model input 1 mtok output 5 mtok prompt caching write 1 25 mtok read 0 10 mtok for workloads that need to run in the us us only inference is available at 1 1x pricing for input and output tokens learn more get up to 2 5x faster speeds with fast mode for opus 4 8 at 2x standard pricing learn more prompt caching pricing reflects 5 minute ttl learn about extended prompt caching do more with built in tools see developer docs see developer docs see developer docs claude managed agents a suite of composable apis for building and deploying agents at scale prompt caching give claude more background knowledge and example outputs to reduce costs and latency web search and fetch augment claude s knowledge with current real world data from across the web advanced tool use allow claude to interact with hundreds of external tools and apis so it can perform a wider range of tasks batch processing process large volumes of requests asynchronously and save 50 on costs memory let claude store and consult information from a dedicated memory file context editing automatically clear less relevant tool calls and results from the context window when approaching token limits mcp connector connect claude to any remote mcp server without writing client code code execution run python code create visualizations and analyze data directly within api calls citations get detailed references to the exact sentences and passages claude uses to generate responses leading to more verifiable trustworthy outputs files api upload documents once and reference them repeatedly across conversations skills teach claude your expertise procedures and best practices so it delivers consistent expert level results structured outputs ensure claude s responses conform to your json schema developer docs explore claude s advanced features and capabilities read more read more read more get to production faster with the claude console integrate claude s powerful ai capabilities into your apps and deliver production grade solutions faster existing prompt classify all customer support tickets into the most relevant category here is the list of categories to choose from category_list here is the content of the support ticket ticket_content what would you like to improve please include a rationale for the classification 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 built for developers build test and iterate on your deployment automatically generate or improve existing prompts evaluate model responses against real world scenarios build faster with pre built cookbooks and guides use cases for claude coding our models are constantly improving on coding math and reasoning claude can complete complex engineering tasks to solve problems that would typically take a full day of engineering work learn more learn more learn more agents claude offers superior instruction following tool selection error correction and advanced reasoning for customer facing agents and complex ai workflows learn more learn more learn more productivity claude can extract relevant information from business emails and documents categorize and summarize survey responses and wrangle reams of text with high speed and accuracy customer support claude can handle ticket triage on demand complex inquiries using rich context awareness and multi step support workflows all with a casual tone and conversational responses learn more learn more learn more start building see pricing see pricing see pricing contact sales contact sales contact sales get the developer newsletter product updates how tos community spotlights and more delivered monthly to your inbox subscribe subscribe please provide your email address if you d like to receive our monthly developer newsletter you can unsubscribe at any time thank you you re subscribed sorry there was a problem with your submission please try again later homepage homepage next next thank you your submission has been received oops something went wrong while submitting the form write button text button text learn button text button text code button text button text write help me develop a unique voice for an audience hi claude could you help me develop a unique voice for an audience if you need more information from me ask me 1 2 key questions right away if you think i should upload any documents that would help you do a better job let me know you can use the tools you have access to like google drive web search etc if they ll help you better accomplish this task do not use analysis tool please keep your responses friendly brief and conversational please execute the task as soon as you can an artifact would be great if it makes sense if using an artifact consider what kind of artifact interactive visual checklist etc might be most helpful for this specific task thanks for your help improve my writing style hi claude could you improve my writing style if you need more information from me ask me 1 2 key questions right awa...
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