{"ok":true,"case":{"id":3,"category_id":1,"slug":"chatgpt","brand":"ChatGPT","title":"ChatGPT: Showing the range behind one conversation","summary":"A creator matrix demonstrates how ChatGPT supports writing, learning, ideation and productivity across radically different audience needs.","markets":"United States · Europe","platforms":"TikTok · Instagram · YouTube · X","challenge_text":"This ChatGPT concept begins with a broad product story and a very specific audience problem: a student, a creator and a founder may all hear the same promise of usefulness yet imagine entirely different tasks. A collection of impressive outputs does not explain where the tool belongs in each person's work or what the person still needs to decide.\n\nThe challenge is to make a workflow recognisable without making a demonstration look like a guaranteed outcome. Writing, learning and ideation involve choices about purpose, accuracy and audience. A creator story needs to show those choices around the interaction, including the checking and revision that turn an initial response into something appropriate for the stated task.","strategy_text":"Build a proposed creator matrix around roles and the decisions each role faces. A student scenario can explore understanding a topic, a creator scenario can examine an early idea, and a professional scenario can work through a bounded writing task. These are editorial directions to validate, not claims that any particular prompt or feature produces a verified result.\n\nEach workflow should begin with a clear input and a definition of usefulness. Then show how the creator evaluates the response and decides what to retain, change or reject. Before-and-after material is meaningful when the comparison uses the same brief and exposes the human contribution; a weak starting point invented solely for contrast teaches little.\n\nA challenge format can invite different approaches to the same task, revealing why context and judgement matter. Keep the examples distinct enough to serve their intended audiences, while using a consistent distinction between a generated suggestion and a checked final output. A shared task can also reveal different definitions of a useful answer. Ask each creator to state the criterion they use, so audiences can see why two plausible responses may lead to different revisions.","execution_text":"Prepare a task, suitable source material and a realistic stopping point before recording. The demonstration should not depend on private workplace or personal information. Confirm the available product experience for the proposed audience, then capture the interaction actually used rather than recreate a smoother exchange after the fact and present it as the original process.\n\nThe edit can follow the creator through framing the request, reading the response and revising it against the task. Retain a meaningful correction or rejected suggestion where it helps explain the decision. A short asset can teach one useful interaction; a longer piece can preserve the context and verification that made the final example fit for its intended purpose. Keep the original request visible when discussing the final revision.\n\nLocal adaptation should change the task and expression when audience needs differ, rather than translate an unrelated example word for word. Review the finished story for the boundary between assistance and independent completion. A next-step invitation can encourage viewers to formulate their own bounded task and examine the response critically, with supporting context available alongside the clip.","results_text":"The learning agenda asks whether viewers recognise an appropriate use case and understand their own role in completing it. Questions that become more specific, saves of the process and thoughtful adaptations can indicate relevance. Any authorised usage signals should be read with the task context; opening a tool is different from achieving a useful result.\n\nIf viewers remember only the finished output, bring the evaluation and revision earlier in the next story. If a role-specific example attracts people with a different need, develop a separate scenario rather than stretch the original claim. The concept aims to make practical experimentation more informed.\n\nThe next scenario can then test a different task with the same habit of defining usefulness, inspecting the response and keeping the human decision visible.","metric_1_value":"52347800","metric_1_label":"Views","metric_2_value":"135","metric_2_label":"Creators","metric_3_value":"76%","metric_3_label":"Product demo completion rate","logo_path":"/brand-logos/chatgpt.svg","cover_path":"","is_demo":0,"case_type":"real","reporting_scope":"2025-08-01 to 2026-09-25. Platforms: TikTok, Instagram, YouTube, X (Twitter). Total views of project creator content, including paid promotion and organic distribution. Views are not deduplicated across platforms. Unique technology, education, productivity and creative creators. Recorded totals: 52,347,800 views; 135 creators.","category_name":"AI Tech","category_slug":"ai-tech","translation_incomplete":0,"metrics":[{"value":"52.3478M","label":"Views"},{"value":"135","label":"Creators"},{"value":"76%","label":"Product demo completion rate"}]},"related":[{"id":6,"category_id":1,"slug":"deepseek","brand":"DeepSeek","title":"DeepSeek: Making advanced reasoning feel useful","summary":"A creator education system that turns DeepSeek’s reasoning and coding strengths into clear, repeatable everyday workflows.","markets":"North America · Europe · Southeast Asia","platforms":"TikTok · Instagram · YouTube · X","logo_path":"/brand-logos/deepseek.png","cover_path":"","is_demo":0,"case_type":"real","reporting_scope":"2025-07-01 to 2026-10-10. Platforms: TikTok, Instagram, YouTube, X (Twitter). Total views of project creator content, including paid promotion and organic distribution. Unique creators who participated and published; a creator publishing on multiple platforms is counted once. Recorded totals: 58,432,000 views; 128 creators.","category_name":"AI Tech","category_slug":"ai-tech","translation_incomplete":0,"metrics":[{"value":"58.432M","label":"Views"},{"value":"128","label":"Creators"},{"value":"62%","label":"Code demo completion rate"}]},{"id":5,"category_id":1,"slug":"dola","brand":"Dola","title":"Dola: An AI companion built into daily rhythm","summary":"Creator stories position Dola as an approachable assistant for planning, conversation and everyday problem-solving—not another abstract AI promise.","markets":"North America · Europe · Southeast Asia","platforms":"TikTok · Instagram","logo_path":"/brand-logos/dola.jpg","cover_path":"","is_demo":0,"case_type":"real","reporting_scope":"2026-04-01 to 2026-10-10. Platforms: TikTok, Instagram. Total views of project creator content, including paid promotion. Unique creators who participated and published lifestyle or daily planning content. Recorded totals: 7,280,000 views; 32 creators.","category_name":"AI Tech","category_slug":"ai-tech","translation_incomplete":0,"metrics":[{"value":"7.28M","label":"Views"},{"value":"32","label":"Creators"},{"value":"12.4K","label":"App download conversions"}]},{"id":4,"category_id":1,"slug":"perplexity","brand":"Perplexity","title":"Perplexity: Turning search into an answer journey","summary":"Expert-led content shows how Perplexity connects sourced answers, research depth and follow-up discovery for people who need clarity quickly.","markets":"United States · Europe","platforms":"TikTok · Instagram · YouTube · LinkedIn","logo_path":"/brand-logos/perplexity.png","cover_path":"","is_demo":0,"case_type":"real","reporting_scope":"2025-09-01 to 2026-10-10. Platforms: TikTok, Instagram, YouTube, LinkedIn. Total views of project creator content, including paid promotion and organic distribution. Unique creators who participated and published research challenges, source comparisons or expert workflow demos. Recorded totals: 27,120,000 views; 68 creators.","category_name":"AI Tech","category_slug":"ai-tech","translation_incomplete":0,"metrics":[{"value":"27.12M","label":"Views"},{"value":"68","label":"Creators"},{"value":"29%","label":"Product search growth"}]}]}