Support

Frequently Asked Questions

Find answers to common questions about A1Asset AI Studio, workspace computations, security boundaries, and integrations.

A1Asset AI Studio is an advanced visual programming environment for artificial intelligence. It allows developers to construct, execute, and debug complex multi-step AI reasoning chains using interactive nodes, logic blocks, and secure container runtimes.

Studio helps you build AI-powered workflows by combining models, prompts, tools, and logic into one workspace. You describe what you want to create, refine the flow visually, and Studio runs the underlying generation and execution steps for you.

You can build AI assistants, internal tools, coding workflows, content generators, research pipelines, data-processing automations, and multimodal experiences that use text, image, video, and code generation.

We support major state-of-the-art LLMs including Google's Gemini series (Flash and Pro), OpenAI's GPT models, and specialized open-source checkpoints. You can easily switch models per-node or route requests dynamically.

All custom Python/JavaScript logic, data parsing, and loops are executed inside ephemeral, isolated Linux sandbox containers. This keeps your runtime secure and isolates your execution environment from other tenants.

Yes. All saved third-party keys (OpenAI, Gemini, custom API endpoints) are encrypted at rest using AES-256-GCM. Decryption keys are loaded strictly in-memory during node runtime and are never exposed to logs or third parties.

Your subscription allocates a monthly pool of compute tokens. Running node pipelines, model routing, and image synthesis deducts tokens from this pool according to model usage rates. You can view real-time token logs in your Dashboard.

Yes, new developer accounts receive a complimentary trial token allocation upon signing up. No credit card is required to explore the Studio during the trial period.

Studio pricing is based on a subscription plan with included monthly token quotas. Higher-complexity models and media generation use more compute, and you can purchase refills when you need additional capacity.

No. Studio is designed to support both visual building and developer workflows. Non-technical users can start from guided flows, while developers can use the API, VS Code extension, and advanced configuration options.

Studio focuses on AI-native application logic, model routing, debugging, and secure compute instead of simple page builders. It gives teams visual controls without hiding the underlying code and runtime behavior.

Generated code can be reviewed, edited, exported, and connected to your development workflow. You remain in control of how it is used, deployed, and maintained.

Install the A1Asset AI Studio extension from the VS Code Marketplace. Then, navigate to Dashboard > Settings in your browser, generate a developer secret key, and paste it into the extension settings prompt in VS Code to pair your editor workspace.

Absolutely. The logic builder includes generic HTTP/Websocket nodes that can interact with external web APIs, secure endpoints, or databases configured to receive incoming client calls.