Riku

Public Share Links are URLs generated by Riku that allow users to share their AI apps with others easily. These links enable broader access and collaboration, facilitating users to showcase their apps, gather feedback, or even distribute working AI tools publicly. It's a great feature for teams, educators, and anyone looking to demonstrate their AI solutions.

Riku provides access to multiple open-source models and credits. However, the term 'really unlimited' depends on the specific pricing plan a user subscribes to. For instance, the 'Pro Builder' plan includes a certain number of models and API credits, while the 'Advanced Builder' plan offers more extensive access. Users should review the details of their plan to understand the extent of usage limits and capabilities.

The API provided by Riku allows users to integrate their AI apps with other systems and services. By using the API, developers can send data to and receive data from the AI models, automating workflows and enhancing functionality. The API is designed to be user-friendly and supports various programming languages, offering documentation to assist users in connecting their applications effectively.

Yes, Riku supports team collaboration. Depending on the subscription plan, users can add multiple sub-accounts and users to their workspace. This feature fosters teamwork by allowing multiple individuals to work on AI projects concurrently, share insights, and manage their AI tools together. The Advanced Builder plan offers additional sub-account options which can be beneficial for larger teams.

Riku does sometimes offer discounts and promotional offers. Users are encouraged to check their website regularly or subscribe to their newsletter for updates on any special deals. Also, for specific user groups like educators, non-profits, or students, there may be tailored discounts or special pricing plans available upon request.

Yes, Riku offers support for non-profits. Non-profit organizations can benefit from special pricing or discounts tailored to enable them to utilize AI applications without a significant financial burden. Interested organizations should contact Riku's support team to inquire about specific opportunities and eligibility criteria for non-profit assistance.

Riku provides support for students and educational institutions. They recognize the importance of AI in education and often offer special pricing or discounts to make their platform more accessible to educators and learners. Schools, colleges, and individual students may qualify for these benefits by contacting Riku's support team or checking their educational support policies.

Riku has a 5-day free trial which allows users to evaluate their platform before committing to a paid plan. However, their refund policies on paid plans are not explicitly mentioned, so it is advisable for users to contact Riku's support team directly for any inquiries about refunds or cancellations. This ensures clarity on specific terms and conditions related to refunds.

Riku enables users to create AI applications similar to well-known AI tools like Copy.AI, Jasper, or writing assistants, offering flexibility in crafting custom solutions. While it might not be 'reverse engineering,' it empowers users to replicate functionalities using their no-code interface and access to multiple AI models. This allows users to design bespoke tools aligning with their unique requirements.

Using Riku is straightforward, thanks to its no-code interface. Here's a step-by-step guide:

Step 1: Sign up for an account on the Riku website and select a pricing plan that suits your needs.

Step 2: Log in to your dashboard where you can start designing your AI app by selecting the type (Chat App, Text App, Vision App, etc.).

Step 3: Use the drag-and-drop interface to build your AI app. Choose from pre-built templates or create from scratch.

Step 4: Connect your app with the necessary data sources and ensure data security.

Step 5: Experiment with different AI models available, fine-tuning them to meet your specific needs.

Step 6: Test your application thoroughly. Iterate based on feedback and performance.

Step 7: Deploy your AI app and share it using public share links or integrate it with other platforms using the provided APIs.