Generating Text Information for Video Content 0:09

• Josh Lomelino introduces the purpose of the video: to show how to generate text information to support video content.

• He explains the challenges of long videos and the time-consuming process of creating a manual table of contents.

• Josh suggests using AI to automatically generate contextual and navigation cues for viewers.

• He outlines the four main cues for learners: description, outcomes, table of contents, and interactive chapters.

Using Otter AI App for Transcription 1:40

• Josh explains the process of using the Otter AI app to generate a transcript of a finished video.

• He details the steps of dragging and dropping the video file into the Otter user interface for transcription.

• Once the transcription is complete, Josh shows how to access the Summary tab to extract the table of contents.

• He emphasizes the importance of the Summary tab in providing thematic breakdowns and time ranges.

Creating Descriptions and Educational Outcomes 3:44

• Josh demonstrates how to generate a three to four sentence description using AI prompts in Otter.

• He explains the process of copying and pasting the description into the Anomaly Amp system.

• Josh highlights the importance of providing a list of educational outcomes for learners.

• He shows how to use AI prompts to generate a list of outcomes based on the training script.

Formatting and Organizing Content 4:53

• Josh provides tips on formatting the content in the Anomaly Amp system.

• He suggests making the time codes appear as text summaries and setting them as heading two (h2) in bold.

• Josh explains how to create a clear message under the outcomes heading to guide learners.

• He recommends using either a numbered or bulleted list for the outcomes.

Finalizing the Detailed Summary 5:28

• Josh completes the detailed summary by including time codes for each item in the video.

• He reiterates that the process requires minimal manual work and produces valuable content for learners.

• Josh mentions the importance of reviewing training on Bloom's Taxonomy for proper verb usage in AI tools.

• He offers supplemental files to help train AI tools to use the correct verbs for the level of learning.

Introduction to Interactive Table of contents 6:18

• Josh announces the next video, which will cover the fourth component: the interactive table of contents.

• He explains that this component converts the table of contents into interactive chapters in the video.

• Josh highlights the benefits of this feature for users on various devices.

• He promises to show the process of creating interactive metadata in the next video.

Adding Interactive Chapters to Videos 0:09

• Josh Lomelino explains the process of creating an interactive table of contents in the video player using two AI tools.

• The first step involves logging into the Vimeo Portal using provided credentials and uploading the video through Anomaly Amp.

• Users should navigate to the interactivity section in the main toolbar, activate the AI chapters tool, and wait for Vimeo to generate initial chapters.

• Josh recommends using Otter's chapter information for more accuracy and precision, as Vimeo's automatic chapters may not be as effective.

Editing and Saving Chapters 2:13

• Josh suggests loading the chapter information from Otter and copying and pasting it into the Vimeo interface.

• Users need to add a chapter name and time code for each chapter, which can be derived from Otter's transcript.

• It's crucial to save the transcript information to ensure it stores correctly in the Vimeo dataset.

• Josh advises refreshing the page in Anomaly Amp after saving to confirm the chapters are present.

Finalizing and Publishing the Video 3:45

• Once all chapters are added and saved, users should publish the video to make it available to learners.

• The published video will include a description, learner outcomes, a table of contents, and an interactive table of contents.

• This setup allows learners to interact with the content while viewing the video in picture-in-picture mode.

• Josh concludes the demo by emphasizing the immersive learning experience created by the interactive table of contents.