Technical - Overhaul of the AI evaluation process

• We made some adjustments on the evaluation methods of our models. We are starting to use a more statistics-oriented approach to have even better precision, and we adapted the prompting techniques to make sure the model is more efficient.
• As a result, most of the issues linked to both reasoning <> option chosen coherency and non applicability have been fixed.

Release of the first public API Endpoints for the Diabolocom QM

• It is now possible to request via API a filtered list of interactions and the details of a single interaction. Available contents are both the QM analysis and the AI analysis (summary, tags etc).

• A new page called "My account" was created to manage authentication tokens in order to access the Public API. On that page you can create a token to authenticate your requests.

• On each endpoint you can filter by multiple fields, from interaction date, brands and channels to language, scoring duration and many more.

• This is very useful for clients to extract QM interactions data, along with AI analyses, for data analysis and automation processes (BI, integrations...)
• The complete documentation is available in Clickup or as a Postman collection there.

Quality of life updates

• We now display the payload format when configuring actions.

• We reworked the user table to make it display the user ID (and not the internal ID), and changed the order of the columns.
• We changed the names of the AI analysis sections to make it more human friendly and removed references to sentiments.