A new 11-minute tutorial shows how to build award-winning animated websites using Google AI Studio without writing any code.

// 61d agoTUTORIAL

A new 11-minute tutorial shows how to build award-winning animated websites using Google AI Studio without writing any code.

MotionSites has released an 11-minute video tutorial demonstrating how to design and build premium, award-winning animated websites using Google AI Studio. The guide shows how indie founders and designers can use highly structured, custom prompts to generate professional-grade animated hero sections and landing pages using AI without writing code. Alongside the video, a free prompt template is provided to help creators bypass the default, generic designs typically produced by AI tools and instead achieve sleek, production-ready layouts.

// ANALYSIS

While AI code generators have democratized web development, they frequently produce generic, uninspired layouts. This tutorial offers a practical antidote by demonstrating how meticulous prompt engineering in Google AI Studio can output highly interactive, premium design elements. By controlling aspects like typography, structured animation layers, and precise CSS variables, it shifts the focus from simply generating code to executing deliberate design, showing that the key to great AI-generated websites lies in the structural sophistication of the input prompts.

* **Intentional Motion:** Proves that high-end animations and micro-interactions can be reliably generated via AI through layered prompting.

* **No-Code Paradigm Shift:** Emphasizes that design-literate prompting is becoming the new baseline for rapid prototyping and landing page creation.

* **Prompt Recipes as Products:** Highlights the growing market for specialized AI prompt libraries (like MotionSites) as essential resources for indie developers and designers.

* **Leveraging Google AI Studio:** Showcases Google's developer interface as a powerful, cost-effective tool for crafting and refining complex, code-generating prompts.

// TAGS

`["web-design""ai-prompts""google-ai-studio""motionsites""no-code""web-development""web-animation""generative-ai"]`-→-`["web-design""prompt-engineering""generative-ai""ai-coding"]`

DISCOVERED

61d ago

2026-06-01

PUBLISHED

61d ago

2026-06-01

RELEVANCE

7/ 10

AUTHOR

viktoroddy

// KEEP READING

More AI developer news from the feed

EXPLORE FULL FEED

RESEARCH2m ago

MANTA enables dynamic topology adaptation for multi-agent systems

MANTA (Multi-Agent Network Topology Adaptation) is a research framework that allows multi-agent LLM systems to dynamically reconfigure their communication topologies at inference time. By combining trace auditing with verbal playbooks during execution, it enables agent teams to optimize collaboration efficiency and achieve superior results on complex benchmarks such as PlanCraft.

OPEN SOURCE2h ago

OpenWorker launches open-source autonomous desktop agent

OpenWorker is an open-source, local-first autonomous desktop co-worker that operates across local documents, terminal commands, and over 25 third-party integrations. Built to execute end-to-end workflows such as file generation and application updates, OpenWorker supports scheduled recurring background jobs while enforcing explicit human approval for high-consequence actions.

POLICY2h ago

White House formalizes frontier AI evaluation framework

Following closed-door briefings with top AI executives including Sam Altman, the US White House met its August 1st deadline to formalize a pre-release evaluation framework for frontier AI models. The framework introduces new federal pacing guidelines that will shape how developers build, evaluate, and deploy next-generation AI systems.