Enable Integrations or automations with these events of Tny and Google AI Studio (Gemini)
Generate a Tny shortened link from a provided long URL and return the short URL.
Unshortens a URL. Follows all redirects and returns the final destination of a URL.
generate content form a model
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Tny and Google AI Studio (Gemini) accounts to viaSocket. Once connected, you can set up a workflow where an event in Tny triggers actions in Google AI Studio (Gemini) (or vice versa).
Absolutely. You can customize how Tny data is recorded in Google AI Studio (Gemini). This includes choosing which data fields go into which fields of Google AI Studio (Gemini), setting up custom formats, and filtering out unwanted information.
The data sync between Tny and Google AI Studio (Gemini) typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Tny and Google AI Studio (Gemini). For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
Tny is a powerful URL shortening service designed to simplify link management and enhance online marketing strategies. With Tny, users can easily create, share, and track shortened URLs, making it an essential tool for digital marketers and businesses looking to optimize their online presence.
Learn MoreGoogle AI Studio (Gemini) is a cutting-edge platform designed to empower developers and businesses with advanced artificial intelligence capabilities. It offers a suite of tools and services for building, training, and deploying AI models, leveraging Google's robust AI infrastructure. With Gemini, users can harness the power of machine learning to create innovative solutions across various industries.
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