What You Will Build | DATASPHERES AI - Dataspheres AI

Overview Before you build anything, look at a finished example. In this module you will walk through a real show from start to finish: a weekly NFL pick’em...

Overview Before you build anything, look at a finished example. In this module you will walk through a real show from start to finish: a weekly NFL pick’em show. You will see every file it produced and what each file is for. Lesson 0.1: The show in one sentence The Week 6 pick’em report chooses a straight-up winner for all 14 games, gives a reason and upset path for each, and ranks pool confidence. Its public research links show the dated evidence behind the choices. That sentence matters. It names the audience (pick’em readers), their goal (choose game winners) and the promise (all 14 selections with reasons). Every good show starts with a sentence like this. Lesson 0.2: The five stages The show moved through five stages, in this order: Research. Separate research runs, one per game. Each run gathered injury reports, betting lines, team stats and player salaries, each with a dated source. The deck. A presentation built like a sports TV broadcast, not a school report. Player cards show a headshot on team colours, the salary and one key stat. There are matchup splits, charts that build, and lineup walls of headshots. The video. Three AI hosts talk through the deck like a sports desk. Each host has a face, a name and a matched voice. Captions sit inside the frame. The media kit. Every file you need to post the show, each with its title and caption. The article. A narrative page that tells the story in words. It embeds the deck and the video, shows the picks with their reasons, lists the sources, and links every kit file for download. Lesson 0.3: What is in the media kit, and what each file is for The kit always comes in the same order: YouTube video (16:9) with captions, a thumbnail, a title, a description with chapters and tags. This is your main show. Everything else points back to it or to your datasphere. YouTube Short (9:16) , a vertical highlight that links to the main video. TikTok (9:16) , the same vertical highlight, with an AI label. Instagram Reel (9:16) , the same vertical highlight, with Meta's AI label. Instagram carousel , a sequence of images with a caption; check the actual slide count in your kit. The same images also become a LinkedIn PDF post and pictures for an X thread. Raw audio , the final mix as MP3 and WAV, plus a voice-only WAV. This becomes your podcast episode. The full presentation , a link that opens the deck in present mode on the live site. Two more pieces travel with the kit: Captions for X, Threads, LinkedIn and Reddit , written for each platform's style and length. The thumbnail , which does three jobs. It is the YouTube thumbnail, the article's top banner and the share card that appears when someone posts your link. Lesson 0.4: Why one show, many files Making separate content for each platform can take a full week. One strong show, cut into formats, needs a few hours of your attention. You still upload natively to each platform, but the research, story and design are done once. Do this now Open the live course outline at https://dataspheres.ai/pages/dataspheres-ai/one-show-every-platform. Then write your own one-sentence show, using the weekly pick’em sentence as a model. Name the audience, their goal and your promise. Keep it. Quiz What are the five stages, in order? a) Video, deck, research, kit, article b) Research, deck, video, kit, article c) Kit, research, video, deck, article Answer: b Which single image does three jobs? a) The first carousel slide b) The host headshot c) The YouTube thumbnail (also the article banner and share card) Answer: c Which file becomes your podcast episode? a) The raw audio (MP3/WAV) b) The vertical highlight c) The carousel Answer: a