The latest version of Anthropic's Claude AI model, Claude 3.7 Sonnet, has demonstrated significant improvements in creative writing capabilities compared to its predecessor, Claude 3.5 Sonnet.

The key highlights include:

1. Longer Output: Claude 3.7 Sonnet has a maximum output of 128,000 tokens, allowing it to generate much longer pieces of text, such as entire chapters or even a full story outline in a single prompt.

2. Exceptional Outlining: When provided with a brief story synopsis and a plot template, Claude 3.7 Sonnet generated a detailed, coherent, and engaging 10,000-word story outline, outperforming previous models by a significant margin.

3. Improved Prose and Dialogue: In the author's testing, Claude 3.7 Sonnet produced high-quality prose and dialogue, with 346 out of 415 words in the basic prose prompt and 407 out of 472 words in the dialogue prompt deemed viable for use.

4. Enhanced Editing Capabilities: When tasked with editing an existing scene, Claude 3.7 Sonnet demonstrated better performance than previous models, improving the 349-word scene to 569 words, with 342 words deemed viable.

5. Versatility: In addition to its strong creative writing abilities, the author has heard positive feedback about Claude 3.7 Sonnet's performance in coding and mathematical tasks, making it a versatile AI model for a wide range of applications.

Overall, the author's assessment indicates that Claude 3.7 Sonnet is a significant improvement over its predecessor and other mainstream AI models, particularly in the areas of outlining, prose, and dialogue generation. This model's capabilities make it a valuable tool for authors and writers looking to streamline their creative process.

The outlining and brainstorming prompts were unexpectedly fantastic with Claude 3.7 Sonet. For the logline prompt, the model generated 13 good loglines out of 20, which is a significant improvement over the previous record of 11 good loglines from Quinn and 10 from the previous version of 3.5 Sonet.

The outline prompt was even more impressive. The model generated a nearly 10,000-word outline, which the author had never seen before from an AI model. The outline had a logical consistency, with foreshadowing and references to past events, resulting in a cohesive and engaging story. The author found the outline so compelling that they were tempted to use it as a starting point for a new story.

For the beats prompt, the model generated 18 viable beats out of 20, with some of the ideas actually enhancing the initial prompt and making the scene more interesting. The author was impressed by the model's understanding of good storytelling and its ability to provide appropriate beats.

Overall, the outlining and brainstorming prompts were the standout features of Claude 3.7 Sonet, with the model significantly outperforming previous versions and other AI models in these areas. The author was particularly impressed by the model's ability to generate a comprehensive and engaging outline, which could provide a valuable starting point for authors.

The analysis shows that Claude 3.7 Sonet performed exceptionally well in the prose and dialogue writing prompts.

For the basic prose prompt, it generated 415 words, with 346 of them deemed viable. This was a significant improvement over the previous version, Claude 3.5 Sonet.

In the complex prose prompt, where the model was provided with a sample chapter to emulate the author's style, it produced 3,116 words, with 269 considered viable. The improved style and coherence were notable compared to previous models.

The dialogue prompt also yielded strong results, with 472 words generated, of which 407 were deemed viable. This demonstrated the model's ability to craft natural and engaging dialogue.

Additionally, the editing prompt showed that Claude 3.7 Sonet could improve upon an existing scene, expanding the original 349 words to 569 words, with 342 considered viable. This was a better performance than seen with other models.

Overall, the analysis indicates that Claude 3.7 Sonet has made significant strides in prose and dialogue writing, outperforming previous versions and other mainstream AI models. This suggests that the model could be a valuable tool for authors focused on these aspects of creative writing.

For the marketing prompts, Claude 3.7 Sonet performed reasonably well, though not as impressively as in the creative writing tasks.

In the ad headline prompt, it generated 6 viable headlines, which was similar to the performance of the previous 3.5 Sonet model.

However, in the email newsletter prompt, 3.7 Sonet outperformed 3.5 Sonet, generating 268 usable words compared to 148 for the previous model.

The standout performance was in the SEO article "super prompt", where 3.7 Sonet was able to generate 2,000 words of usable content within a single prompt. The author notes they have confidence that if the word count request was increased, the model could likely generate the full 4,000 words requested.

Overall, while not quite reaching the heights of its creative writing capabilities, 3.7 Sonet still demonstrated solid performance in marketing and SEO content creation tasks, outpacing previous models in certain areas. The author suggests this model could be a valuable tool for authors needing to generate marketing materials and SEO-optimized content.

While I cannot provide a full comparison between Claude 3.7 Sonet and Anthropic's Muse model, as Muse is primarily focused on dialogue and prose writing, I can share some insights based on the specific prompts you have tested.

In the areas of basic prose, complex prose, and dialogue prompts, Muse does appear to have a slight edge over Claude 3.7 Sonet. The Muse model has been specifically designed for these types of writing tasks and has demonstrated strong performance in your previous testing.

However, Claude 3.7 Sonet has shown exceptional capabilities in other areas, such as brainstorming, outlining, and marketing prompts, which are not the primary focus of the Muse model. The ability of Claude 3.7 Sonet to generate comprehensive 10,000-word outlines in a single prompt is particularly impressive and not something Muse has been tested on.

As language models continue to improve, the gap between the two may narrow. But for now, Muse still holds an advantage in pure prose and dialogue writing, while Claude 3.7 Sonet excels in the broader range of creative writing tasks.

Ultimately, the choice between the two models will depend on the specific needs and requirements of the writer. Both offer unique strengths and can be valuable tools in the creative writing process.

Claude 3.7 Sonet has proven to be a significant improvement over its predecessor, Claude 3.5 Sonet, in the realm of creative writing. The model's ability to generate longer and more coherent outputs, as well as its impressive performance on outlining and brainstorming prompts, make it a standout among AI writing assistants.

The model's strong performance across various writing tasks, including prose, dialogue, and marketing content, resulted in an overall score of 593, far surpassing the previous best score of 412 held by Claude 3.5 Sonet. This impressive result highlights the rapid advancements in AI language models and their potential to aid authors in their creative endeavors.

While the Muse model from Anthropic's Sudowrite may still have an edge in certain areas, such as prose and dialogue, the versatility and well-rounded capabilities of Claude 3.7 Sonet make it a highly recommended tool for writers. The model's ability to handle a wide range of writing tasks, from outlining to marketing, sets it apart and suggests that it could be a valuable asset for authors looking to streamline their creative process.

As the author notes, the continued improvement of models like Claude 3.7 Sonet holds great promise for the future of AI-assisted writing, with the potential for even more advanced and tailored models to emerge. For now, Claude 3.7 Sonet stands as a testament to the rapid progress in this field and a compelling option for writers seeking a powerful and versatile AI writing assistant.