Marvin

Receive customer query via chat or email.

Use `marvin.classify` to categorize the query into predefined support topics.

Use `marvin.extract` to extract key information such as order numbers or product names.

Use an agent to formulate a response using the extracted information and support topic.

Send the response to the customer.

Provide product description and target audience profile as input.

Use `marvin.generate` to generate multiple versions of ad copy or blog posts.

Use an agent to refine and optimize the generated content based on marketing best practices.

Publish the content on relevant marketing channels.

Upload the unstructured financial document.

Use `marvin.extract` to extract relevant data points such as invoice amounts, dates, and vendor names.

Use `marvin.cast` to convert the extracted data into a structured format such as a JSON or CSV file.

Analyze the data to gain insights into financial performance.

Provide a description of the desired code functionality.

Use an agent to generate code snippets based on the description.

Use an agent to analyze the code for errors and suggest fixes.

Test the code and iterate on the generation and debugging process until the desired functionality is achieved.

Gather student data such as learning style preferences and academic performance.

Use `marvin.classify` to categorize the student's learning style.

Use an agent to generate personalized learning content based on the student's learning style and academic needs.

Deliver the content to the student and track their progress.