Pro Tips

We observe that our most successful users follow one of two building approaches:

• Input-led: Start with your available data (e.g., image prompt, brand guidelines) → build forward by adding nodes that transform inputs into marketing assets.

• Output-led: Start with your desired output (text, image, video) → select the right AI node → work backwards to determine what inputs you need.

Building a fashion photo agent in one minute

Below are some additional best practices for building custom Pletor agents:

• Start simple: Begin with a basic workflow and add complexity gradually.

• Test as you build: Run individual nodes and group of nodes frequently to test them in isolation and catch issues early.

• Use LLM nodes with custom instructions to:

  • enhance prompts

  • process multiple inputs at the same time (e.g., user prompt + brand context)

  • stabilize outputs' quality that will serve as inputs to other nodes

• Use tools like Prompt Cowboy to generate custom instructions in a few seconds.

• Iterate on models and configuration. Adjust node settings, try different connections, and refine your workflow until you get the results you want. The AI Studio makes experimentation fast and visual.

Playing with configurations and models

• Use descriptive names: Label your nodes clearly so future you understand the workflow

• Add control nodes to give users flexibility and options in create mode.