This article explains common AI terminology and answers frequently asked questions about AI usage across HighLevel. Use it to better understand AI activity, usage, and the different ways AI products may measure or charge for usage.
For current product-specific pricing, included usage, and billing details, see AI Product Pricing.
TABLE OF CONTENTS
AI Glossary
Understanding common AI terminology can help you make sense of how HighLevel AI products work, how usage is measured, and why different interactions may require different amounts of AI processing.
Request
A request is an instruction or task submitted to an AI experience such as Ask AI, AI Studio or Managed Agents.
A request does not represent a fixed amount of AI usage or a fixed charge. A simple request may require relatively little processing, while another may require the AI to reason through multiple steps, retrieve or analyze information, generate content or images, or perform actions.
For example, asking AI Studio to create a website is one request. Sending another prompt asking it to change the headline creates another request, but the amount of AI processing required for each request may be different.
Prompt
A prompt is the message, question, instruction, or information you provide to an AI tool. Prompts can range from simple questions to detailed instructions containing background information, requirements, uploaded files, images, or other context. For Ask AI and AI Studio, submitting a prompt counts as a request.
Example: "Create a three-page website for a dental practice with a homepage, services page, and contact page."
Prompt length alone does not determine total AI usage. Task complexity, context, the model used, and the generated output can also affect how much AI processing is required.
Token
A token is a small unit of text processed by an AI model. AI models do not measure text strictly by words or characters. Instead, text is divided into tokens that represent portions of the information the model receives and generates.
Token usage can vary depending on the amount of context, the complexity of the task, and the length of the generated output. Different AI models may also have different token pricing, so the same number of tokens does not always result in the same cost.
Not every HighLevel AI product uses tokens as its usage measurement.
Session
A session is a group of interactions used to complete work within supported AI products such as Ask AI.
A session may contain multiple prompts or requests. For example, an Ask AI session may involve retrieving information, generating content, processing follow-up instructions, and requesting approval before completing an action.
Note that not every HighLevel AI product uses sessions as a usage or billing measurement.
Frequently Asked Questions
Why can't I bring my own AI API keys?
HighLevel uses multiple AI providers and models across its AI products. Requiring customers to maintain their own accounts, API keys, and billing relationships with every supported AI provider would make setup and ongoing management significantly more complicated.
HighLevel often adds providers, introduces newer models, or changes which models are used for particular AI tasks. Managing these integrations within HighLevel allows those changes to happen without requiring customers to replace or reconfigure their own API keys.
Why did one request use more tokens than another?
Not every request requires the same amount of AI processing. Usage can vary based on the amount of context involved, task complexity, requested output, information retrieval or analysis, generated assets, and the AI models used.
As a result, two prompts that appear similar may still use different numbers of tokens.
Why can AI Studio usage increase as I continue working on a project?
AI Studio maintains project context so that it can understand previous instructions and changes. For example, if you have already established a site's design, structure, style, and other requirements, later requests may use that existing context when determining how to make your next change.
This makes iterative development easier because you do not have to restate every previous requirement. However, maintaining and processing additional context can increase the amount of AI processing required for later requests. For more information, see AI Studio - Pricing
Related Articles
- AI Product Pricing
- AI Usage Dashboard
- AI Studio – Pricing
- Ask AI Session Examples & Usage Costs
- AI Usage Limits
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