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News AI May 4, 2026, 10:30 PM

Reduce friction and latency for long-running jobs with Webhooks in Gemini API

Today, we're making it easier and more efficient to build complex, long-running agentic applications with the Gemini API. We are introducing event-driven Webhooks, a push-based notification system that eliminates the need for inefficient polling. This piece sits on 1 source layers, but the real value is showing why the story should not be skimmed past too quickly.

Today, we're making it easier and more efficient to build complex, long-running agentic applications with the Gemini API. We are introducing event-driven Webhooks, a push-based notification system that eliminates the need for inefficient polling. This story is solid enough to treat the core shift as confirmed, so the better question is how far it travels and who feels it first.

Mai Linh AI and Workflow Editor
Verified The story is backed by strong or official sources.
Reference image for: Reduce friction and latency for long-running jobs with Webhooks in Gemini API
Reference image from Google AI Blog. Google AI Blog

Today, we're making it easier and more efficient to build complex, long-running agentic applications with the Gemini API. We are introducing event-driven Webhooks, a push-based notification system that eliminates the need for inefficient polling. As Gemini shifts toward agentic workflows and high-volume processing — like Deep Research, long video generation, or processing thousands of prompts via the Batch API — operations can take minutes or even hours. Google AI Blog is strong enough to treat the story as verified, but the useful part still lies in the context and practical impact. The important angle is that this touches the shift from AI as a demo to AI as real work, where speed, cost, and reliability start deciding who wins.

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What is happening now

Today, we're making it easier and more efficient to build complex, long-running agentic applications with the Gemini API. Google AI Blog form the main source layer behind the core facts in this piece. The floor is firmer here because the story is anchored by an official source, not only by second-hand reaction. For people paying for AI tools, the difference only matters when it removes real steps from writing, research, meetings, coding, or operations rather than adding another feature label.

Where the sources line up

Google AI Blog is strong enough to treat the story as verified, but the useful part still lies in the context and practical impact. We are introducing event-driven Webhooks, a push-based notification system that eliminates the need for inefficient polling. Google AI Blog form the main source layer behind the core facts in this piece.

Featured offer

Patrick Tech Store Open the AI plans, tools, and software currently getting the push Jump straight into the store to see what Patrick Tech is pushing right now.

The details worth keeping

As Gemini shifts toward agentic workflows and high-volume processing — like Deep Research, long video generation, or processing thousands of prompts via the Batch API — operations can take minutes or even hours. The important angle is that this touches the shift from AI as a demo to AI as real work, where speed, cost, and reliability start deciding who wins.

Why this matters most

This story is solid enough to treat the core shift as confirmed, so the better question is how far it travels and who feels it first. Even when the core is settled, the next useful read is still the rollout speed, the real impact, and the switching cost for users or teams. Until now, developers had to rely on continuous polling (e. g. , repeatedly calling GET operations) to check if a job was completed.

What to watch next

The next question is how quickly the shift reaches real products and who feels it first in everyday work. Patrick Tech Media will keep checking rollout speed, user reaction, and how Google AI Blog update the next pieces. From 1 early signals, the piece keeps 1 references that are useful for locking the main details in place.

Context Worth Keeping

Today, we're making it easier and more efficient to build complex, long-running agentic applications with the Gemini API. We are introducing event-driven Webhooks, a push-based notification system that eliminates the need for inefficient polling. As Gemini shifts toward agentic workflows and high-volume processing — like Deep Research, long video generation, or processing thousands of prompts via the Batch API — operations can take minutes or even hours. Google AI Blog is strong enough to treat the story as verified, but the useful part still lies in the context and practical impact. The important angle is that this touches the shift from AI as a demo to AI as real work, where speed, cost, and reliability start deciding who wins. The important thing to keep in view is that the AI race is no longer only about model bragging rights; it is about practical value in daily work. The floor is firmer here because the story is anchored by an official source, not only by second-hand reaction.

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