3.1 - mAIstro Tour

Users will walk through an initial tour of mAIstro to learn how to effectively configure different nodes, modify natural language prompts to the Large Language Model, and generate content within the mAIstro's unique editors.

Visual Editor

The Visual Editor is the easiest way to use mAIstro. In the Visual Editor, nodes connect horizontally (called chains) and vertically. Nodes are executed starting in the upper left. As the execution runs, for each vertical level any chain existing at that level will be evaluated before continuing down.

Add a Node

On the sidebar menu, navigate to the Get Data section.

  • Click on the Website Text node. The node will populate as a box inside the Visual Editor.

add_text_node

Configure the Website Text Node

Click on the node box, and a properties panel will appear on the side.

  • Add a URL to the configuration, for example: https://neuralseek.com.

add_url_text_node

Add a Second Node

On the sidebar menu, navigate to the Generate Data section.

  • Click on the Send to LLM node. The new node will populate as a box inside the Visual Editor.

add_first_LLM_node

Chain the LLM Node

Click on the LLM node, and drag it to attach to the right side of the Website Text node, forming a chain.

chain_first_LLM

Configure the LLM Node

By clicking on the node, a properties panel will appear.

  • Add a prompt inside the panel to make a bullet list from our scraped website. For example: Create a bulleted list of the major topics from the documentation below.

configure_LLM_node

Add a Third Node

On the sidebar menu, navigate to the Generate Data section.

  • Click on the Send to LLM node. The new node will populate as a box inside the Visual Editor.

add_second_LLM_node

Configure the LLM Node

Notice how the second LLM node populated below the horizontal chain.

  • Click on the node and a properties panel will appear.
  • Add a prompt inside the panel to make a LinkedIn post based on the bulleted list generated from the scraped website. For example: Create a LinkedIn post based on the bulleted list below. Use lots of hashtags.

configure_LLM_node_2

Evaluate the mAIstro Flow

Let's run our flow!

  • Click the blue Evaluate button on the bottom bar. Your generated content appears in this panel.

evaluate_flow

Download Generated Contents

Optionally, you can also download it in MS Word or CSV formats.

  • Click the Microsoft Word option next to Output Format to download the newly generated content as an MS Word document.

download_output

Debug the Flow

Click on the bug icon in the top right corner to see the full path of the evaluation, plus all the context variables.

  • Click on each step to expand the full evaluation.
  • Step #1: web
    • Notice the contents generated from the scrape of the given URL, in this example https://neuralseek.com.
    • inspect_step1
  • Step #2: LLM
    • Notice the chain link icon next to this step to indicate that this is a chained node.
    • The contents generated show a bulleted list of major topics from the documentation that was pulled from the scraped website, just as the prompt indicates.
    • inspect_step2
  • Step #3: LLM
    • Notice the contents generated here are the same as the resulting contents from clicking the Evaluate button. This is due to it being the final step in the flow.
    • The generated contents show a LinkedIn blog post with lots of hashtags based on the bulleted list of major features generated in Step #2, just as the prompt indicates.
    • inspect_step3

Save the Template

You can save templates for future use and to call by name via the API by clicking on the Save button on the bottom bar.

  • Add a unique name to the template, for example: Lab_Tour.
  • Optionally add a unique description for ease of navigation. For example: A LinkedIn post based on a list of features from NeuralSeek's website..

save_maistrotour_template

You can also download an OpenAPI spec of the flow with all the required parameters to easily import into other tools, like a virtual agent, by clicking on the Generate OpenAPI Spec button on the bottom bar.

openapi_spec_maistrotour

Continue to Explore

This covers the basics of the mAIstro.

  • Click Next to continue to the wide variety of output generation with various example templates, data selection options, modifications to the data, and unique generative data prompts on NeuralSeek's mAIstro platform.


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