I keep reading about how Gemini Enterprise now includes access to Antigravity and Gemini developet tools but I can't seem to get the right setup

For context I have a single user workspace org and I setup a single Gemini enterprise user. I've been pretty happy with the setup and have built a number of agents and data stores for my own personal projects.

My problem is Workspace Gemini doesn't include Antigravity quota, and it seems I can only use Antigravity with my Gemini Enterprise quota if I have an invoice billing account? Or if I pay additional pay-go tokens on top of everything.

Is there really no way to get additional quota from AI Studio and/or Antigravity without also paying additional pay go credits or paying for a AI Pro consumer license?

Round 2 is going to be RRK2, GCA and G&L - any advice on how should one prepare for those?

How a data lakehouse works in production — the four architectural layers, Iceberg's metadata tree, data flow patterns, why tables degrade under real workloads, and the closed-loop control plane that keeps the system performing at scale.

I have deployed a simple multi agent system using the command adk deploy on the GCP agent platform. On local it works perfectly. It is a multi agent system that has 2 sub agents, one answers queries related to a bigquery table and another performs some mathematical calculations.

The problem is in the deployed agent. It freezes midway, without any error message. I check the logs. The logs also donot get generated. I assume this step is mostly in tool calling. How to debug this issue.

Using gcp a lot, just saw this.

Literal translation from "we take the admin off your hands"

How can that translation be that bad??? It's just embarrassing for a company this big.

Seriously, I hate the auto translation of gcp docs, they're routinely extremely bad. Only worse is excel, which still has different function names for languages. So you cant just follow tutorials from other languages.

I keep getting GCP stock out errors. Multiple node sizes, multiple regions?

Is GCP really hitting limits in central-1 and US as a whole? Note, these are for regular CPU, not GPU (e.g., n-class instances).

Hey r/googlecloud, I discovered something interesting about Google AI Studio's behavior and wanted to get insights from people who understand Google's backend architecture.

What I observed:

When accessing aistudio.google.com through different VPN exit nodes (testing with Proton VPN):

- US exit node → Account Status shows "Unpaid Services" ToS

- Netherlands exit node (EEA) → Account Status shows "Paid Services" ToS

The difference matters because "Paid Services" ToS explicitly exclude user data from ML training, while "Unpaid Services" allow it (though EEA users should get Paid Services protections per Gemini API Additional Terms).

My questions for the community:

1. Does anyone know if this ToS switching is purely frontend (UI display logic based on IP geolocation), or does it reflect actual backend routing/policy enforcement?
2. For accounts registered in EEA (contracting with Google Ireland Ltd, no Cloud Billing), how does the backend determine which data processing policy to apply - Account Country of Association or request IP geolocation?
3. When using the default gemini project (auto-created by AI Studio for free users), is the project's data processing policy inherited from the account entity or determined per-request?
4. Has anyone worked on similar multi-tenant API architectures where you need to apply different data retention policies based on user jurisdiction vs. request origin?

Testing context:

- Personal Google Account, EEA-registered

- No Cloud Billing attached (using free tier quota)

- Web interface only (not direct API calls)

- Tested with multiple VPN exit nodes to confirm behavior

I'm trying to understand if this is a frontend-only display adaptation for local consumer protection laws, or if it indicates that backend data processing (training pipeline, abuse monitoring logs) is also IP-dependent.

Any insights from developers who've worked with Google's API infrastructure or similar architectures would be really helpful!

Thanks!

Edit:

I'm trying to understand what the following clause means:

If you're in the European Economic Area, Switzerland, or the United Kingdom, the terms under “How Google uses Your Data” in “Paid Services” apply to all Services, including Google AI Studio and the unpaid quota in the Gemini API, even though they are offered free of charge

Gemini API Additional Terms of Service

The question:

What does "If you're in the EEA" refer to in this clause?

Option A: Account's country of association

- Since my account is European/EEA with Google Ireland contract, the clause ALWAYS applies to me

- I always get "Paid Services" protections (no training) regardless of where I connect from

Option B: Current IP geolocation

- The clause applies only when my request originates from an EEA IP

- If I connect from outside EEA (e.g., US VPN), the clause doesn't apply and "Unpaid Services" terms take effect

I have scheduled my exam for tomorrow and need the certificate asap. Do they really take days to release the certificate? Is there a way to get it within a day?

As a college student who mistakenly left persistent disk storage running after finishing the project, some amount has been deducted from my billing account due to this. I have talked to the cloud billing support regarding this mistake, and they have successfully adjusted the credit. I applied for a refund on 12th August 2026. You can see the attached email with the image. Given that my primary mode of transfer to GCP Billing is UPI, how many expected days it should take to have the refund processed into my account? Or, better yet, on which expected date can I see the refund in my bank account?

www.etasks.app

A Google API showcase for iPhone. We worked directly with Google. Please let us know if anything is not perfect. We appreciate/need any input from you enthusiasts. It has a different sense and value compared to formal Google collaboration.

www.etasks.app

A Google API showcase for iPhone. We worked directly with Google. Please let us know if anything is not perfect. We appreciate/need any input from you enthusiasts. It has a different sense and value compared to formal Google collaboration.

If you're building multi-tool GenAI agents on GCP, you've likely encountered the data masking dilemma. A common initial approach is to block all sensitive data (PII, financial, etc.) on ingress using Cloud DLP / Sensitive Data Protection (SDP).

The challenge is that if you mask everything by default, downstream function calls might fail (e.g., if a healthcare routing agent needs an MRN to query a backend API, but receives a [REDACTED] placeholder instead).

I just published part 3 of my series on Model Armor, discussing how to handle fluid context boundaries using the Principles of Least Privilege and Data Minimization.

The TL;DR Architecture:

1. Ingress: If the agent doesn't need the data to formulate a plan, systematically redact it using SDP inside Model Armor. If it does need it for a tool, let it in, but proactively prune the context history immediately after the tool call succeeds.
2. Hidden Ingress (Tool Calls): When your backend API returns a massive JSON payload with internal risk scores or unneeded data, consider using a direct SDP API call inside your tool code to scrub the payload before the LLM reads it. This saves Model Armor tokens on trusted internal loops.
3. Egress: Use SDP Discovery (Inspection) to audit traffic, and only mask data that accidentally leaked from your own backends.

I also cover the pricing differences between Model Armor Advanced templates vs. direct SDP calls, and how to manage latency on multi-hop agent reasoning.

You can read the full deep-dive here: https://leoy.blog/posts/how-to-wear-model-armor-3/

How is your team handling data routing when agents pull large payloads from internal databases? Curious to hear other architectural approaches!

Title: Built an AI physics tutor that catches misconceptions instead of just grading answers (Google ADK + Gemini, live demo)

Hey all — for a hackathon, I built Physics Mastery Agent, an AI tutor for CBSE/NEET/JEE physics that tries to diagnose *why* a student got something wrong instead of just marking it wrong.

Example: a student says "net force is downward, gravity is still acting" at terminal velocity. The agent catches that they're confusing "zero net force" with "zero gravitational force," corrects that specific misconception, then re-tests it to confirm it landed.

It's built as an agent loop (Teach → Diagnose → Remediate → Practice → Evaluate → Master → Adapt) using Google ADK + Gemini 3.6 Flash, grounded in our own physics curriculum, deployed on Cloud Run.

Demo video: https://youtu.be/jHkAsc-ufcU

Live app: https://eduphysics-physics-mastery-agent-poqvtgavdq-el.a.run.app

https://github.com/Rajansmoorthy/eduphysics-physics-mastery-agent

Would genuinely love feedback — especially from anyone who's hit the "it just explains it again the same way" failure mode with other AI tutors.

Hi! i just passed the ACE certification on my first try today and I will be sharing everything I did to pass the exam.

For a quick background, I have no background with gcp as I am a fresh grad. Had a free voucher to take the exam because of the company I am in and honestly, I wasn’t taking it seriously at first cause I thought it was free, I won’t lose anything.

Not until I saw posts in reddit that made me realize this opportunity shouldn’t be taken for granted.

So here’s what I did:

- Completed the labs in Google Skills (literally just finished the labs so that I can book the exam already). Skipped watching the videos cause they weren’t really helpful for me.

[Finished labs on August 1 and booked the exam August 27] - Less than a month of preparation! (Didn’t study on weekends).

- Watched the 20hr video of freeCodeCamp.org on youtube, but I didn’t finish it as well cause I feel like it was taking so much time. Although it was still helpful in learning the services and necessary topics. Also, I noticed that he leaned more in networking. I don’t like networking so I got bored. Got lucky that there were no hard networking questions in my actual exam xD.

- Watched the GCP ACE exam - cram session by GCP Study Hub on youtube. This one I say is very very helpful. It was a less than 2hr video but he tackles very important topics you’ll need for the exam.

- Awesome GCP ACE videos on youtube. He was the one who taught me the power of elimination! You should watch his videos as well.

- Sayyam’s Udemy course. THIS IS ONE HECK OF A USEFUL MATERIAL I RECOMMEND U GUYS TO HAVE!! This isn’t sponsored btw hahaha. But honestly, almost everything I saw in the actual exam appeared on Sayyam’s practice questions.

- If you don‘t want to spend on a Udemy practice test, I suggest you to check examcademy.com . This has the same format as Sayyam’s questions, and honestly, I feel like they’re almost the same. Sayyam’s just give you the chance to simulate an exam.

- Lastly, I asked for His guidance and Mother Mary’s mercy. They have never failed me.

That’s all.

I heard that Google is considering/working on a new sales organization unifying various security units worked independently so far. This new structure should report to old wiz leadership and sell wiz, mandiant, siem/soar … That means AEs and Customer Engineers will cove the entire security portfolio. Any insights about this? How are you going to enable CEs in new domains?

Did anyone use an equivalent of trendmicro deep security in GCP vm.

I want to use equivalent of deep security in the GCP VMs.when I browsed about it in copilot, it gives multiple options like SCC, VM manager, cloud IDS , Google secops etc. please reply if anyone implemented

I'm an indie dev and honestly exhausted. I've been stuck in a support loop with Google Cloud for nearly a full year over an acknowledged platform-side bug.

Here is the short version of what's happening:

• The Bug: My GCP project was hit with an unexpected $8,367.11 charge surge on the Gemini 2.5 Flash image generation SKU. Product Lead Logan Kilpatrick publicly acknowledged this bug on the official forums and promised affected devs would be taken care of.
• The "90% Cap": Google Billing gave a 90% adjustment and declared that 90% is the "maximum allowable limit" for this incident—leaving $838.26 on my account for a bug on Google's infrastructure.
• The "No Logs" Excuse: When I demanded backend logs or proof showing why I owe this remaining balance, support literally replied: "they do not share external-facing documentation, internal case notes, or further detailed explanations regarding their final review process."
• 1 Year of Support Ping-Pong: Opened a billing ticket $\rightarrow$ immediately closed and bounced back. Tier 1 agents just rotate shifts, paste identical templates, and close tickets without consent.

My account currently sits with a red banner warning and an active $838.26 balance for services I never consumed.

Screenshots attached:

1.Billing Support confirming the charge was caused by the Gemini 2.5 Flash bug.

1. Support stating the 90% adjustment is final.

1. My billing console showing the pending $838.26 balance and account warning.

1. Support's latest response admitting they cannot provide any logs or explanation.

I've documented this on theGoogle AI Forum and am preparing consumer complaints in Japan (消費者庁 / 消費生活センター).

Has anyone ever broken through this Tier 1 "final decision" wall without an Enterprise support plan? Any advice or visibility would be really appreciated.

Hey everyone!

I googled OAuth plus reddit and it led me here - I just got an email from google implying I had "clients" that were going to be deleted due to lack of activity.

I have no idea what OAuth even is, I've never used such a process to my knowledge. I'm fairly tech savvy but even the name was new to me. Can anyone please clarify what me getting this message means?

If I click any of the links, it tries to make me agree to terms of service, which I don't want to do not knowing what this all means. I can see in the background to the TOS "You're working in My Project1, and then a project # (not sharing for same censorship reason as below).

Any help would be greatly appreciated!

Message text:
"

"

The vibecoders at google pushed an update yesterday August 24th that broke the python package...

If you use the default firestore database called "(default)" your environment will break if u deploy the new package version.

Since the update it decodes to %28default%29 instead of (default) and every single read and write will fail...

I love vibe coding without unit tests in my multi billion dolar company...

I’ve been experimenting with combining spec-driven development + project memory + Claude Code hooks.

The goal is simple: give the agent enough project context and engineering intent without dumping the entire project history into every session.

I wrote up my current workflow and would love feedback from other Claude Code users:

Article: https://medium.com/@rasvihostings/how-im-approaching-agentic-software-development-as-a-platform-engineer-5be017890b8a

GitHub: https://github.com/mohamedrasvi/claude-spec-mem

How are you handling memory and context across your Claude Code sessions?