TextExpander Features

Checks for grammar errors like misspellings, sentence run-on, etc.

Evaulates emotional tone of words written.

Ensures sentences are formatted properly.

Checks for instances of plagirism.

Evalutes that work has been done within the guildlines of a given writing style (MLA, APA, Chicago, etc.).

Finds and formats citations for works mentioned.

Recommends ideas for topics based on the content written.

Generates sentences, paragraphs, or papers based on sample text or a topic.

Generates a form based on information presented.

Application is available as a standlone product.

Application is available as a plugin used with another document creation product.

Provides pre-made templates for wiki pages and knowledge articles.

Allows users to leave feedback within a wiki page or knowledge article.

Allows users to see version history and return to previous versions of wiki pages.

Displays knowledge articles to be arranged in a decision tree.

Detects any creation of already existing knowledge pages and alerts user

Enables users to create rich knowledge pages with a combination of text, charts, images, video and audio

Provides data on wiki page and knowledge article use.

Allows administrators to provide permissions and gate pieces of content based on role.

Offers additional tools that facilitate knowledge sharing and collaboration.

Notifies users when changes occur.

Offers AI-based search capabilities

Allows users to capture knowledge from the web

Allows knowledge pages to be organized into sections and subsections as needed

Integrated with other tools to faciliate the sharing of information

Integrates with other knowledge repositories in the business

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Templates of text snippets and abbreviations can be shared easily with another person

The pop-up interface of options for text expansion is easy to use

The auto text expand library is modifiable and flexible to customization

The platform is able to integrate easily with other platforms

Helps in designing multi-step interactions using chained prompts.

Tracks changes to prompts over time.

Helps users run test outputs across different models.

Tracks execution time of prompts across models.

Helps in monitoring token consumption and API call frequency.

Identifies expensive prompts to help teams optimize for cost efficiency.

Helps in A/B testing of prompts across models.

Helps to plug into CI/CD for automated testing, validation, and deployment of prompts.

Helps generating reliable and consistent AI outputs.

Helps identifying how different LLMs respond to same prompts

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Makes informed choices based on available data and objectives