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Use case
Enhancing coding productivity
Context

Sourcegraph uses Anthropic's Claude 3 Sonnet as the default model in its AI coding assistant, Cody, which helps developers write and understand code faster. The AI provides context-aware chat and tools like inline code completions, significantly speeding up coding processes. Cody uses different models (Sonnet, Opus, Haiku) optimized for speed, intelligence, and long-context recall, increasing the quality and accuracy of code suggestions. Cody Pro and Enterprise users benefit from even more advanced features powered by these models.

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Use case
Automating software development
Context

Factory uses Claude 3 Opus and Haiku models to power autonomous "Droids" that automate various labor-intensive software development tasks, such as code reviews, migrations, and feature requests. These AI-powered Droids save customers over 550,000 hours and millions of dollars by streamlining development and reducing code churn by 3x.

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Use case
Streamlining script analysis
Context

Jumpcut Media, a company making AI-powered tools for the entertainment industry, uses Claude 3 Opus to power its ScriptSense product, which generates comprehensive script coverage—a specific report for a screenplay including scene summaries and character breakdowns. This helps Hollywood studios, agencies, and production companies save time by evaluating scripts in seconds. ScriptSense also indexes scripts in a searchable database, aiding creative teams in meeting studios’ requirements for which content they need.

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Use case
Streamlining legal analysis
Context

Steno uses Claude 3 Opus to power its Transcript Genius platform, enabling attorneys to quickly search, analyze, and extract critical insights from vast legal transcripts. This AI-driven solution centralizes transcript storage and uses a 200K context window to handle long documents, saving attorneys significant time in deposition preparation.

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Use case
Reducing API call costs
Context

BlueOcean, a brand intelligence platform, used Anthropic's Claude 3 models (Haiku and Opus) via Amazon Bedrock to consolidate four separate API calls into a single, more efficient one, resulting in over 50% cost reduction.

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Use case
Delivering fast, accurate search results
Context

Perplexity uses various Claude models (Claude 3.5 Sonnet, Claude 3 Opus, Claude 3 Haiku) to optimize performance, cost, and accuracy for delivering factual and relevant answers in its conversational search engine. Claude models allow Perplexity to provide fast, accurate results with the ability to read dense research papers in under 3 seconds, benefiting both free and paid users.

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