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Use Case

Automated environmental sustainability reports

Generative AI models like language model GPT-3 or image generators can streamline environmental sustainability reporting. For example, these AI models can use raw data to draft text for reports, summarizing environmental impacts, energy usage, waste production, and more. LLMs like OpenAI's GPT-3 can structure sentences, paragraphs, and entire sections of a report, providing a coherent narrative based on supplied environmental impact metrics.

Image generators can curate visuals like charts, graphs or infographics from given data, making complex environmental information more digestible. This includes progress comparisons over time, correlations among impacting factors and forecasting future sustainability trends.

By automating this process, organizations can save time, maintain consistency in reporting, whilst ensuring precision and accuracy in communicating their sustainability efforts, making the reports more transparent and trustworthy for stakeholders.

How to build with Clevis

Text Input

Ask the user to input the company name

Prompt ChatGPT

Prompt ChatGPT to generate a summary of the company's environmental initiatives using the company name input

Prompt ChatGPT

Ask ChatGPT to provide suggestions for relevant sustainability performance indicators

HTTP Request

Fetch the latest data on the suggested sustainability performance indicators from a public API

Display Output

Display the generated sustainability report with the company's initiatives summary and relevant performance indicators

This is an application developed using Clevis, an AI-enabling tool. The example application automatically generates environmental sustainability reports. Applications are structured as a series of steps outlined in the provided JSON configuration. Based on this, similar apps could certainly be built within the domain of AI-assisted reporting.

The application starts with the Text Input step, where it prompts the user to input the company name. Next, it uses OpenAI's ChatGPT during the ChatGPT step. With the input, the model generates a summary of the company's environmental initiatives.

In another instance of the ChatGPT step, ChatGPT provides suggestions for relevant sustainability performance indicators for the company. The application then executes an Http Request to fetch the latest data on these indicators from a public API. The automated accuracy of data updates showcases one of many advantages of AI-driven tools.

The final step of this application, Display Output, presents the resulting sustainability report. By incorporating the company's initiatives summary and relevant performance indicators, it offers a comprehensive view in a friendly, readable format. Thus, this Clevis application is an excellent tool to compile and present up-to-date, intelligent environmental reports.

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