Compare AI agents

Aha! Suite

Elle, the Aha! AI assistant, includes multiple agents, each optimized for a different type of work. Some are designed for quick answers and everyday tasks, while others are better suited for deeper research, polished writing, or early product exploration.

Understanding what each agent is best at helps you get faster, more relevant results — and make thoughtful use of your AI credits. This article provides a high-level overview of each agent so you can confidently choose the right one when you are ready to work.

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Universal agent

The Universal agent is the default Aha! AI experience and a great place to start for most prompts. Like all AI agents, it can include the page, record, or report you are on as context for your prompt. Use the Universal agent when you want concise answers, light analysis, or help creating and updating records without deep reasoning or extended research.

Not sure which agent to pick? Start with the Universal agent. Elle will pick another if it is better suited to your request.

Best for

  • Quick questions

  • Summarizing records or reports

  • Light research

  • Creating or updating records

  • General product work

AI credit usage

Typically low to medium. Usage depends on prompt length and complexity. Short, contextual prompts generally use fewer credits.

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Research agent

The Research agent is built for complex questions that benefit from deeper reasoning and broader context. It spends more time analyzing your prompt, can evaluate more information independently, and is well suited for exploratory or strategic work. Unlike other agents, the Research agent always delivers its output as a document artifact, making it easy to review, refine, and share longer-form results.

Best for

  • Strategic research

  • Competitive analysis

  • Market exploration

  • Complex questions that require synthesis across multiple sources

AI credit usage

Typically medium to high. Deeper analysis and longer prompts can increase credit usage, though simpler research questions might use less.

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Writing agent

The Writing agent is optimized for creating, editing, and refining text. It integrates directly into text editors across Aha! products, automatically using the record context — and any highlighted text — to produce more relevant results. This agent includes guided actions such as outlining, drafting, rewriting, and improving clarity, making it ideal for turning rough ideas into polished content.

The Writing agent appears when you open the AI chat window from the Aha! text editor.

Best for

  • Drafting and refining features and requirements

  • Refining internal or external communications

  • Creating product documentation from feature descriptions and user personas

AI credit usage

Typically low to medium. Short edits and refinements use fewer credits, while longer drafts or extensive rewrites might use more.

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Prototyping agent

The Prototyping agent helps you quickly explore and communicate product ideas through interactive prototypes. It can generate structured prototype concepts that make early ideas more tangible and easier to share with stakeholders. Use this agent when you want to experiment, validate direction, or bring clarity to abstract concepts before committing to detailed requirements.



Best for

  • Early product exploration

  • Concept validation

  • Communicating ideas visually through interactive prototypes

AI credit usage

Typically medium to high. Rich prototypes or detailed instructions can increase credit usage, though simpler concepts might require less.

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Custom agents

Don't see the agent you need? Use one of the custom agents in our template library (just change the Type dropdown to Agent), or create your own!

Use custom agents to tailor Elle to your team's specific workflows, terminology, and best practices. You can define instructions that guide how the agent responds, making it easier to standardize outputs or support specialized use cases. Custom agents are especially helpful when you want consistent results across repeated tasks or need the AI to follow a particular framework or voice.

Best for

  • Repeated workflows

  • Team-specific standards

  • Specialized analysis

  • Consistent structure and tone

AI credit usage

Varies based on the underlying prompts and tasks. Credit usage follows the same principles as other agents.

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