Make Adds Gemini 3.5 Flash Across AI Toolkit, Agents, and Google Integration.

Make has integrated Google's Gemini 3.5 Flash model into its automation platform, giving users access to one of Google's fastest AI models directly inside Make scenarios. The model is now available across three native applications: Make AI Toolkit, Google Gemini AI, and Make AI Agents.

Gemini 3.5 Flash is designed for speed and efficiency, optimized for tasks that require quick processing without the overhead of larger models. By adding it to Make, the company is enabling users to build AI-powered automations that can read, classify, and act across thousands of connected apps without leaving the platform.

Make is deploying Gemini 3.5 Flash through three distinct tools within its ecosystem. The Make AI Toolkit offers a streamlined setup for users who want quick AI capabilities without extensive configuration. The Google Gemini AI app provides structured prompting for users who need more control over model behavior. Make AI Agents, recently rebuilt with transparency and reasoning panels, now supports agentic workflows powered by Gemini 3.5 Flash.

This multi-app approach gives different user segments access to the same underlying model through interfaces tailored to their technical comfort level and use case complexity.

Make is positioning the integration around three core automation patterns. Users can build scenarios that summarize inbound content such as emails, support tickets, meeting notes, or documents, then route the condensed output to team tools like Slack, Notion, or Airtable.

Classification workflows allow teams to triage inbound leads, customer requests, or support messages based on content analysis, automatically routing them to the appropriate next step in a business process. Content generation scenarios can produce replies, briefs, reports, or marketing copy as part of larger multi-step automations.

These patterns mirror common AI use cases but are executed entirely within Make's visual automation environment, which connects over 3,000 apps. The addition of a faster model like Gemini 3.5 Flash reduces latency in scenarios where AI processing sits between trigger and action steps.

The integration follows Make's recent pattern of adding multiple AI models to its platform. In recent months, the company has integrated Claude Opus 4.7 and expanded its AI Agents with support for Claude Skills. By offering multiple models from different providers, Make allows users to select models based on speed, cost, or capability requirements for specific scenarios.

Gemini 3.5 Flash is optimized for lower latency and cost compared to larger models, making it suitable for high-volume automation tasks where response time matters more than deep reasoning. The model supports text input and output, which aligns with the summarization, classification, and generation tasks Make is highlighting.

Users can access the new model through existing Make accounts. The company has published additional details in a feature spotlight on its community site.