Assistant creation
A company creates its AI assistant and defines the working scenario.
Create, train, test, and connect website AI assistants from one web interface
The complete workflow covers assistant creation, company knowledge, response testing, and website widget connection.
A company needs a website AI assistant that answers visitors using the company's own information rather than generic model knowledge.
Updating the knowledge base, testing responses, and publishing the assistant should not require a separate development cycle each time.
A company creates its AI assistant and defines the working scenario.
Company materials are added to the platform and used as context for responses.
Teams can test answers before publication and verify how the assistant uses company knowledge.
Once tested, the assistant is connected to the website and becomes available to visitors.
A visitor request is sent from the website widget to the platform backend. The system retrieves relevant context from the knowledge base, provides that context to the language model, and returns the generated response to the website interface.
Company knowledge is separated from the website presentation layer, so information can be managed centrally and reused across assistants.
The working platform brings assistant creation, knowledge management, response testing, and website widget deployment into one workflow.
A company can move from initial setup to a working website AI assistant without building a separate solution from scratch.
Start with a focused website assistant scenario and connect it to your existing website.