At 3:00 AM on November 19th, 2025, Demis Hassabis, the CEO of Google DeepMind, wasn't worrying about his stock price or the bubbling narrative of an "AI valuation crash." He wasn't drafting a press release or tweaking a slide deck.
He was awake, "locked in," using his new model to code a feature that lets players adjust the salt levels on virtual french fries.
He was recreating Theme Park, a game he originally programmed in the 90s. But this time, he wasn't wrestling with syntax or debugging obscure compile errors. He was "vibe coding"—describing a reality, and watching an AI agent manifest it, right down to the granular physics of a salty snack.
That specific detail, the ability to effortlessly manifest a random, granular idea into reality, tells me more about the state of AI than any benchmark chart ever could.
For the last year, the industry has been obsessed with the "Chatbot Era." We prompt, it answers. We copy, it pastes. It has been a transactional relationship with a very smart, very fast typewriter. But if you work in strategic operations like I do, you know that "chatting" doesn't scale. You can't build a system on top of a chat box.
Google just dropped Gemini 3, and while the headlines are screaming about how it beats GPT-5.1 on the GPQA benchmarks, they are missing the point. Google isn't just shipping a smarter model; they are shipping an operations layer.
Here is my perspective on why Gemini 3, and specifically the new Antigravity platform, represents the death of "AI Slop" and the birth of the Agentic Supply Chain.
The Shift from "Tool" to "Teammate"
To understand why this launch matters, you have to look past the model weights and look at the interface.
For consultants and operations directors, our biggest bottleneck hasn't been a lack of intelligence; it's been a lack of autonomy. A chatbot waits for you. It is passive. If I want to analyze a month's worth of client data, I have to feed it the files, prompt it, check the output, re-prompt it when it hallucinates, and then copy the results into a slide deck. I am still the engine; the AI is just the fuel.
Gemini 3 changes the physics of this relationship.
The most significant announcement wasn't the model, but Google Antigravity. Billed as an "agentic development platform," it is effectively a mission control for digital employees. It allows agents to:
- Plan complex, multi-step tasks without needing a human to hold their hand for every step.
- Control a browser to validate their own work (e.g., "Go to this URL, check if the button works, if not, fix the code").
- Execute code, see the error, and self-correct in a loop until the job is done.
There was a moment in the early testing that perfectly captures this shift. A user asked an Antigravity agent to generate an SVG image. The agent wrote the code, but then realized it needed to convert it to a PNG. It tried to find a specific library (ImageMagick) and failed.
In the old world (last week), the model would have hallucinated a fake library or simply apologized and quit.
In this new world, the agent didn't give up. It opened a Chrome browser instance, rendered the SVG in the browser, and "saved the pixels" as a PNG.
That is reasoning. That is a system correcting itself. That is the difference between a tool you use and a teammate you trust.
"Vibe Coding": The Democratization of Internal Tools
I have a confession: I am not a production-level coder. I can read code, I can hack together a script, but I am not going to build a scalable react app from scratch on a Tuesday afternoon.
But in my role, I constantly see the need for bespoke internal tools. A dashboard to track project velocity. A script to clean up messy CRM data. A simple app to help the sales team generate proposals.
Previously, these ideas died in the backlog. They weren't important enough to distract the development team, but they were too complex for me to build alone.
Gemini 3 brings vibe coding to the next level.
The friction of syntax is gone. You don't need to know how to configure a webpack or set up a virtual environment. You just need to be an architect. You describe the vibe, the function, and the outcome.
For agency leaders and consultants, this is a massive unlock. The "Build vs. Buy" equation has fundamentally changed.
- Need a tool to audit your SEO tags? Don't pay $99/month for a SaaS product. Vibe code it in 10 minutes.
- Need a specific calculator for your client's ROI? Build it, wrap it, and ship it as a value-add.
We are entering an era where the "Technical Founder" skill set is becoming accessible to anyone with a strategic mindset. If you can describe the system clearly, Gemini 3 can likely build the MVP before you finish your coffee.
The Death of "AI Slop"
We’ve all seen it. The purple gradients. The flowery, robotic prose that starts with "In today's fast-paced digital landscape..." The generic UI designs that look like they were ripped from a futuristic template.
We call it AI Slop. It’s the junk food of the content world—cheap, filling, but ultimately void of nutritional value.
The benchmarks for Gemini 3 suggest that we are finally turning a corner on quality. Early reports indicate a massive leap in "taste." The model creates UIs that actually look like modern, usable software (no more purple gradients). It writes code that is concise and respectful of your tokens.
However, there is a crucial nuance here for my fellow consultants: Differentiation is about to get harder.
When "good" becomes the baseline—when anyone can generate a clean, working app or a well-structured report—"good" is no longer a selling point. You can't charge a premium for basic competence anymore because the AI provides basic competence for free.
The value shifts to Strategic Insight and Curating the Output.
Early tests show that while Gemini 3 is a logic monster, it still lacks some "soul" in creative writing compared to models like Claude Sonnet. It can be a bit cold. A bit clinical.
This is where we fit in. Our job is no longer to "produce" the raw materials. Our job is to be the Director. To take the high-quality output from Gemini, inject the human nuance, apply the client-specific context, and deliver a final product that feels handcrafted.
Use Gemini 3 for the logic, the structure, the coding, and the complex reasoning chains. Keep your humans (or perhaps your Claude instance) in the loop for the final creative polish.
The "Agentic" Supply Chain
If you are a consultant, you need to stop selling "hours" and start selling "systems."
The release of Gemini 3 and Antigravity signals the maturity of the Agentic Supply Chain. We are moving toward a world where you can chain multiple agents together to perform entire workflows.
Imagine this workflow for a marketing audit:
- Agent A (Researcher): Scrapes the client's website and 5 competitor sites. Summarizes the key positioning pillars.
- Agent B (Analyst): Takes that data, runs it against a set of SEO benchmarks, and identifies the gaps.
- Agent C (Builder): "Vibe codes" a simple interactive dashboard to visualize these gaps vs. the competitors.
- Agent D (Writer): Drafts the executive summary based on the data.
In the past, that was 40 hours of work for a junior associate. With Gemini 3, that is a pipeline you run on Tuesday morning while you check your email.
The consultants who win in 2026 will be the ones who build these pipelines. They won't deliver a static PDF; they will deliver the agent that keeps the PDF updated forever.
The Bottom Line: It’s Time to Update Your SOPs
The market was worried about an "AI Bubble." They looked at the capex spending and wondered if we had hit a wall. Google just answered with a resounding "No."
But for us operating in the trenches, the takeaway is simpler: The tools just got sharper.
The release of Gemini 3 is a permission slip to think bigger about what you can automate. It is a challenge to stop accepting "grunt work" as a necessary evil.
If Demis Hassabis can find the time to code salt physics into a virtual fry at 3:00 AM, you can find the time to automate that weekly report that you hate doing.
We are moving away from chatting with AI and toward orchestrating agents. The efficiency gains for those who figure this out first will be exponential.
Time to update the SOPs.
