Editorial illustration for Gemini 3.5 adds action‑taking to run complex multi‑step workflows in apps
Gemini 3.5 adds action‑taking to run complex multi‑step...
Every AI assistant so far has just been a chatbot with better search. You ask, it answers. That's the old game.
Gemini 3.5 is trying for something else. It wants to do things for you. Not just find a flight, but book it.
Not just suggest a meeting time, but send the calendar invites. Google says this model can now handle multi-step jobs across different apps, the tedious digital chores that usually require you to click between five tabs. It promises a redesigned app that manages your inbox, schedules appointments, and tries to guess what you need before you ask.
With powerful new action-taking capabilities, Gemini 3.5 is built to help you reliably execute complex, multi-step agentic workflows across your apps. The Gemini app is becoming a more helpful AI assistant, featuring an intuitive new UI, personalized daily briefs and Gemini Spark. Instead of just answering questions, it acts as a proactive helper -- managing your inbox, scheduling appointments and anticipating your daily needs in the background.
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The pitch is clear. The goal is to shift these systems from being reactive libraries to proactive agents. If it works, the value isn't in the answer it gives, but in the hours it might claw back from administrative sludge.
The real test won't be how it responds to a clever prompt, but how reliably it navigates the broken, inconsistent interfaces of real-world software without breaking something. That's a much harder problem than conversation.
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Common Questions Answered
How does Gemini 3.5 differ from previous AI assistants in terms of functionality?
Unlike traditional AI chatbots that only provide answers to queries, Gemini 3.5 is designed to take action and complete tasks for users. Rather than just finding information like flight options or suggesting meeting times, it can now book flights and send calendar invites directly, representing a shift from reactive to proactive AI agents.
What types of multi-step workflows can Gemini 3.5 handle?
Gemini 3.5 is capable of managing complex multi-step workflows across different applications, such as booking flights and scheduling meetings by sending calendar invites. The model can execute these administrative tasks without requiring the user to manually complete each step.
What is the main value proposition of Gemini 3.5's action-taking capabilities?
The primary value of Gemini 3.5 lies in its ability to reclaim hours spent on administrative tasks rather than simply providing answers to questions. By automating multi-step processes, it aims to reduce the time users spend on routine administrative work and shift AI systems from being passive information sources to active task executors.
What challenge does Gemini 3.5 need to overcome to be truly reliable in real-world applications?
The real test for Gemini 3.5 is whether it can reliably navigate the broken and inconsistent interfaces of real-world software without causing errors or breaking functionality. This proves to be a much harder problem than simply having good conversational abilities, as it requires the model to handle unpredictable and poorly designed systems.
Further Reading
- Gemini 3.5: frontier intelligence with action — Google Blog
- Innovations from Google I/O 26 on Google Cloud — Google Cloud Blog
- What's new in Gemini 3.5 Flash - Interactions API — Google AI for Developers
- Google I/O 2026 Was Not Just a Model Launch. It Was a Runtime Shift. — Agentic AI
- Gemini 3.5 Flash: Complete Guide for Beginners — igmGuru
