> For the complete documentation index, see [llms.txt](https://docs.borndigital.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.borndigital.ai/digital-agent/building-new-projects/knowledge-base-project/step-1.-initializing-your-project.md).
# Step 1. - Initializing Your Project
Begin by establishing a new project, a crucial first step in crafting your digital assistant.
Following the creation of your project, set up a greeting message node featuring the straightforward query, **"How can I help you?"** This establishes the initial interaction with users.
For a deeper understanding of configuring these nodes, it is advisable to consult the articles on ['Message' node](/digital-agent/conversation-flow/nodes-explained/message-node.md) and ['Answer' node](/digital-agent/conversation-flow/nodes-explained/answer-node.md)s provided in this section.
Step-by-step guide
1. **Create Your Project:** Initiate by naming and setting up a new project.
2. **Set Up the Message Node:** Link the ['START' node](/digital-agent/conversation-flow/nodes-explained/start-end-nodes.md) to the newly established '[Message' node](/digital-agent/conversation-flow/nodes-explained/message-node.md).
3. **Input Friendly Text:** Craft a welcoming message for users, enhancing clarity on the interaction's purpose.
4. **Incorporate an 'Answer' Node:** Introduce an[ 'Answer' node ](/digital-agent/conversation-flow/nodes-explained/answer-node.md)to capture user responses, facilitating an interactive experience.
Next, ensure the message node (labeled MSG\_INTRO) is effectively linked to the ['Start' node](/digital-agent/conversation-flow/nodes-explained/start-end-nodes.md). This connection delineates the flow from the initiation of interaction to the user's engagement.
It's imperative to position the ['Answer' node](/digital-agent/conversation-flow/nodes-explained/answer-node.md) subsequent to the ['Message' node](/digital-agent/conversation-flow/nodes-explained/message-node.md), mirroring the dynamic of chatbot output followed by customer input.