Search the world's information, including webpages, images, videos and more. Google has many special features to help you find exactly what you're looking for.
Google's platform to run AI agents at enterprise scale
Gemini Enterprise Agent Platform lets teams build, scale, govern, and optimize AI agents.
Includes Agent Studio, Memory Bank, identity controls, and observability tools for enterprise engineering teams.
In a notable shift in the AI landscape, Apple and Google have announced a multi-year collaboration under which Apple s next generation of Apple Foundation Models will be based on Google s Gemini models and cloud technology.
According to the joint statement, these models will help power upcoming Apple Intelligence features, including a more personalized Siri, expected later this year.
Google released a lot of updates at its annual I/O conference.
One of them, which has been a success, is 3D video conferencing (it reminds me a bit of the era when 3D movies were a big boom in 2009). So I assume that we may soon see 4D and 5D experiences.
I m growing a small SaaS. And cloud costs are starting to hurt. I keep hearing about founders stacking $100-300k in Google Cloud credits, but all the advice feels vague or locked behind big-name accelerators. Where did you actually get credits? Any creative hacks or things to avoid? If you ve cracked this, I d love to hear what worked.
And if you re still figuring it out too, just drop a comment. If I ve gathered some useful stuff, I'll be happy to share.
Reviewers mostly see Google as the default tool for finding information and getting everyday work done: search is repeatedly praised as fast, accurate, easy to use, and tightly connected to services like Maps, Gmail, Drive, and Docs across devices. The main criticism is consistent too: privacy, targeted ads, and broader trust concerns. A few users also mention weak support and some product-specific friction, like outdated map data or clunky Drive actions. Makers of findable. and SurfPal also highlight Google’s AI, Chrome, and Drive integrations as strong technical standards.
+68
Summarized with AI
Pros
Cons
Reviews
All Reviews
Most Informative
Pros
powerful search engine (20)
Google Drive integration (10)
fast performance (9)
Gmail (9)
Google Maps (9)
seamless integration (9)
AI-driven features (7)
user-friendly interface (5)
cloud storage (3)
Google Calendar integration (3)
Cons
data privacy concerns (9)
ads system (3)
Lightfield — AI-native CRM that builds itself and does work for you
AI-native CRM that builds itself and does work for you
Promoted
Hunter
📌
The conversation around AI agents shifted. It's no longer about how to build one. It's about how to manage thousands of them.
What it is: Gemini Enterprise Agent Platform is Google Cloud's unified environment to build, deploy, govern, and optimize AI agents across enterprise infrastructure.
Problem → Solution: Prototyping an agent is solved. The hard part is what comes after — assigning identity across a fleet, maintaining context across multi-day workflows, detecting anomalous behavior, and debugging failures in production. Vertex AI handled the model layer. It left the operational layer to custom engineering. Gemini Enterprise Agent Platform closes that gap with first-class tooling at every stage of the agent lifecycle.
Key features:
Agent Studio: visual canvas for building, testing, and prompt comparison without leaving the development environment
Agent Runtime: sub-second cold starts, agents that run autonomously for days
Memory Bank with Memory Profiles: persistent, low-latency recall of user-specific context across sessions
Agent Gateway: centralized security enforcement across all agents regardless of origin
Agent Simulation and Evaluation: test against synthetic interactions, score against live traffic
Model Garden: 200+ models including Gemini 3.1 Pro, Gemma 4, and third-party models including Claude
Benefits:
Engineering teams ship production-grade agents without building custom governance infrastructure
Security teams get a unified identity and audit layer across the entire agent fleet
Operations teams get real-time observability and anomaly detection without manual log review
Product teams get pre-built agent templates in Agent Garden covering invoice processing, financial analysis, and code modernization
Who it's for: Enterprise engineering teams and platform architects at organizations running or planning to run multi-agent systems on Google Cloud.
Six trillion tokens flow through ADK every month. This is the infrastructure Google built to make that scale governable.
P.S. I hunt the latest and greatest launches in tech, SaaS and AI, follow to be notified →@rohanrecommends
Vantage in Google Labs is the most interesting thing Google Research has shipped in a while. Using GenAI avatars to assess soft skills like collaboration and critical thinking is a genuinely novel approach — most skills assessments are either self-reported (easily gamed) or scenario-based with human evaluators (expensive and inconsistent). The personal Skill Map output gives you something concrete to act on, not just a score. The free access on Google Labs lowers the bar to try it. Curious how the calibration data accumulates over time as more people use it.
What needs improvement
Data privacy transparency could be better. With Google collecting assessment data on collaboration and critical thinking behaviors, it would build more trust to be explicit about what's stored, how long it's kept, and whether it feeds back into product training data.
Google is more than just a search engine—it’s a full ecosystem that powers productivity, communication, and information access. Whether it’s Gmail for email, Google Drive for storage, or Google Docs for collaboration, everything is designed to work seamlessly across devices.
The accuracy and speed of Google Search are unmatched, making it the go-to source for information. Google Maps has transformed how people navigate, while YouTube remains the best platform for video content. Google Assistant is another standout feature that enhances the smart home experience.
While Google offers free, high-quality services, data privacy remains a concern. The personalized ads can sometimes feel overwhelming, but Google provides options to manage privacy settings. Overall, it’s hard to imagine a digital life without Google—it’s an essential part of modern technology.
Gosh, this was needed, like, yesterday! 🚀 I mean, let's be honest, the old Chrome Web Store sucked and was looking like it was stuck in the Windows XP era. It really was about time Google gave it a makeover! 👨🚀
Remember those days when we used to think that Windows XP design was cutting-edge? Well, I do. And I didn't like these dark times, when everything was slow. The Google Chrome Store reminded me of the time when I could do a pizza while my Computer was booting .. 🍕 and I had to open YouTube videos 30 minutes before watching them. This is the feeling which was created by the old Chrome Store design and I am really happy that you guys fixed that finally.
A little breath of fresh air for our beloved browser. Sleek, modern, and looks like it was designed in this decade.
I've dabbled in some other browsers like Firefox Klar, Brave, and even Arc, I sometimes use Safari for work, but Chrome has always been my go-to.
While I'm loving the spiffy new look, I'm also curious about what you've done to supercharge things for developers 😎💻 I mean, c'mon, it's like giving a superhero a shiny new costume, but I want to know if I've got some cool new powers to go with it! Have you made it easier for developers like me to whip up extensions? Are there any new awesome features? So far I didn't found too much whilst playing around with the new version..
I always wondered: why isn't Google growing the Chrome Web Store like the Android Play Store? There's so much untapped potential here! 🌟
With AI on the rise, there are amazing opportunities waiting to be explored.
In any cases: great makeover - I really like it. 👏
The conversation around AI agents shifted. It's no longer about how to build one. It's about how to manage thousands of them.
What it is: Gemini Enterprise Agent Platform is Google Cloud's unified environment to build, deploy, govern, and optimize AI agents across enterprise infrastructure.
Problem → Solution: Prototyping an agent is solved. The hard part is what comes after — assigning identity across a fleet, maintaining context across multi-day workflows, detecting anomalous behavior, and debugging failures in production. Vertex AI handled the model layer. It left the operational layer to custom engineering. Gemini Enterprise Agent Platform closes that gap with first-class tooling at every stage of the agent lifecycle.
Key features:
Agent Studio: visual canvas for building, testing, and prompt comparison without leaving the development environment
Agent Runtime: sub-second cold starts, agents that run autonomously for days
Memory Bank with Memory Profiles: persistent, low-latency recall of user-specific context across sessions
Agent Gateway: centralized security enforcement across all agents regardless of origin
Agent Simulation and Evaluation: test against synthetic interactions, score against live traffic
Model Garden: 200+ models including Gemini 3.1 Pro, Gemma 4, and third-party models including Claude
Benefits:
Engineering teams ship production-grade agents without building custom governance infrastructure
Security teams get a unified identity and audit layer across the entire agent fleet
Operations teams get real-time observability and anomaly detection without manual log review
Product teams get pre-built agent templates in Agent Garden covering invoice processing, financial analysis, and code modernization
Who it's for: Enterprise engineering teams and platform architects at organizations running or planning to run multi-agent systems on Google Cloud.
Six trillion tokens flow through ADK every month. This is the infrastructure Google built to make that scale governable.
P.S. I hunt the latest and greatest launches in tech, SaaS and AI, follow to be notified → @rohanrecommends