30 秒でわかる
Matthew Berman presents Anima Playground in a sponsored video, describing how a Figma design link can be turned into an application, edited with prompts and published. The short is a promotional demonstration rather than an independent evaluation of generated code or current product terms.
- 1A sponsored workflowBerman identifies Anima as the sponsor and introduces its design-to-application workflow.
- 2From design to applicationHe says users paste a Figma design link and use prompts to modify the generated result.
- 3Publish and shareBerman describes one-click web publishing and says users can share code through GitHub; the clip does not establish terms or quality for every project.
ポイント
- Berman describes importing a Figma design through a link and generating an application.
- He says users can choose UI tooling and request features or logic in natural language.
- The promotional video describes publishing to the web and sharing generated code through GitHub.
- Anima sponsored the video, and the clip does not independently test production readiness.
チャプターごとに整えた全文を読む
Generate from a design
Berman introduces the sponsored tool and describes starting from a Figma link.
Matthew Berman introduces Anima, the sponsor of this video, as a way to turn a Figma design into an application. He describes copying a design link into Anima and having it generate the initial result. The short is a promotional presentation rather than an independent test of every generated application.
Iterate, publish and share
He describes prompting for changes, choosing UI tools, publishing and sharing code. The short is a product promotion.
Berman says users can choose UI tools such as Tailwind and use natural-language prompts to add or revise features and logic. The on-screen illustration shows a prompt adding a date and time picker to an example form.
He describes publishing to the web with one click and says users own the code and can push it to GitHub to collaborate. These are the claims in the 2025 promotion; available features, terms and the suitability of generated code depend on the product and project.
同じチャンネルの記事
34:21EN
Matthew Berman· 2026年10月27日Matthew Berman Examines Anthropic’s IPO Filing, AI Growth and GovernanceMatthew Berman, Sam Altman · Forward FutureThe presenter reviews the S-1’s financial metrics, compute strategy and voting structure while questioning the tension between rapid AI development and safety.
0:36ENMatthew Berman· 2026年10月25日Kimi K3.1 and a Rubik’s Cube Solver DemonstrationMatthew Berman · Forward FutureMatthew Berman shows a scrambled virtual cube being solved and gives the Kimi K3.1 test a favorable assessment.
25:50ENMatthew Berman· 2026年10月24日Kimi K3.1 Pro Tested: Strong 3D Demos, Uneven Results and Competitive PricingMatthew Berman · Forward FutureMatthew Berman tests the open-weight model on coding, 3D rendering and visual explanations, then compares benchmark results and prices.
32:20ENMatthew Berman· 2026年10月23日Who Is Local AI For? The Costs, Trade-offs and a Hybrid FutureMatthew Berman · Forward FutureMatthew Berman weighs data control and independence against hardware cost, setup complexity and inference speed.
1:03:37ENMatthew Berman· 2026年10月23日Matthew Berman’s Team Tests Kimi K3.1 on Animation, Games, and ChartsMatthew Berman, Alex, Brian · Forward FutureA live team AMA turns into an informal test of Kimi K3.1, from personal-agent workflows to motion graphics, a browser game, and a benchmark chart.
0:53ENMatthew Berman· 2026年10月22日Sam Altman on AI and the Discovery of New KnowledgeSam Altman · OpenAIAltman expects progress in mathematical discovery to extend to biology, materials and energy.