Do they hold up inside real business automations?

We run AI agents for realtors, wholesalers, service businesses, and small teams. We use these models to write code, build workflows, handle follow-ups, generate content, analyze conversations, and make decisions. If a model isn’t stable, predictable, and reliable, we feel it fast.

Here’s what Gemini 3 gets right, where it falls short, and whether it replaces the current tools inside your business stack.

The Short Version

Gemini 3 is incredible for:

• Creative coding

• UI, game-like demos, interactive widgets

• Visual generation

• On-the-fly design work

• Massive context tasks

But it struggles with:

• Tool calling

• Staying adaptable inside long workflows

• Not getting stuck on one interpretation of a task

Verdict:

A creative powerhouse. Not yet a dependable “core agent brain” for business automations.

What Gemini 3 Actually Does Well

1. Creative Code and UI Generation Is On Another Level

This is where Gemini 3 is a monster.

We’ve seen it build:

• Fully interactive browser games

• 3D demos with lighting, physics, and sound

• Dashboard components with animations

• Clean, organized diffs that plug right into codebases

If you need an AI to build visuals, interfaces, front-end tools, prototypes, or demos, Gemini 3 is one of the best out right now.

This helps us at Rezzivo AI rapidly prototype:

• Internal dashboards

• Lead routing interfaces

• Lightweight client-facing widgets

• Real estate agent tools

• Custom visual automations

Speed is insane. Quality is high.

2. It Handles Big Context Smoothly

Gemini 3 supports:

• 1,000,000-token context

• 65,000-token outputs

• A fresh January 2025 cutoff

For long strategy documents, structured plans, codebases, or entire workflow audits, this is extremely useful. When we do big architecture planning for clients, Gemini 3 makes the exploration phase far more efficient.

3. The New Image Model Is Quietly a Nuclear Bomb

Nano Banana Pro (Gemini’s new image model) is arguably more important than Gemini 3 itself.

It nails:

• Charts

• Diagrams

• Infographics

• Social content frameworks

• Website hero images

• Editable templates

It’s clean, legible, and shockingly practical.

We’re already using it inside client projects to generate:

• GMB posts

• Instagram graphics

• Email visuals

• Product mockups

• Real estate marketing assets

It saves hours.

Where Gemini 3 Still Struggles

1. It “Locks In” To the Wrong Path and Refuses To Let Go

This is the big one.

During long sessions, Gemini 3 will:

• Stick to a certain interpretation

• Ignore your correction

• Repeat the same wrong attempt

• Try to force a broken idea through

In automation work, that’s dangerous.

If your AI agent is supposed to:

• Pull leads

• Analyze a response

• Update a CRM

• Send follow-ups

• Make decisions based on keywords

…and it locks onto the wrong logic pattern, you end up with inconsistent behavior.

That’s why we don’t use Gemini 3 as the primary agent model inside Rezzivo systems.

2. Tool Calling Isn’t Top Tier

Gemini 3 improved over 2.5, but it’s still not as strong as:

• Claude Haiku

• Grok 4.1

These two remain the champions for:

• Multi-step research

• Calling multiple tools correctly

• Maintaining state across the entire chain

• Executing workflows without hallucinating

Gemini 3 has power, but not yet the discipline needed for reliable business automations.

How We Use Gemini 3 Inside Rezzivo AI

Here’s our internal stack right now.

We use Gemini 3 for:

• Coding and rapid prototyping

• UI generation

• Visual assets

• Big context planning

• Creative interactive demos

We do NOT use Gemini 3 for:

• Client-facing automations

• Lead qualification agents

• CRM sync workflows

• Scheduling agents

• Sentiment-driven responders

• Multi-step reasoning chains

Those require models that:

• Stay on track

• Follow tools precisely

• Adapt mid-stream

• Don’t get tunnel vision

That’s where Claude Haiku, Grok, and GPT-5.1 Thinking shine.

Our job is to choose the right model for the right task. Not force one into every role.

So… Is Gemini 3 the Best Model?

It depends on what you’re measuring.

If you want creative code and visuals:

Gemini 3 is the new king.

If you want an AI agent to run your business workflow:

It’s not there yet.

If you want reliable tool calling:

Haiku and Grok still dominate.

If you want balanced reasoning:

GPT-5.1 and Claude Opus still feel more grounded.

If you want presentations, infographics, and graphics:

Nano Banana Pro is insane.

The right answer isn’t “use Gemini 3.”

The right answer is use the right tool at the right layer of your automation stack.

That’s what we do for every Rezzivo client.

Final Thoughts

Gemini 3 is powerful.

Incredible even.

But it’s not perfect, and you shouldn’t rebuild your entire workflow around one model because Twitter says it’s the best.

At Rezzivo AI, we test every model in real environments, not demos. We pick the model that gives you:

• Reliable execution

• Stable performance

• Lowest error rates

• Highest throughput

• Best long-term scalability

Gemini 3 is an amazing addition to the toolkit.

It’s not the only tool in the kit.

If you want to know exactly which AI model is right for your automations, that’s the work we do every day.