Google
Gemini

The Core Brain

What it is

Google's massive, multimodal foundation model. It is the core "brain" that understands, reasons, and creates based on text, code, images, and audio. It has been trained on massive amounts of data to build a deep understanding of how the world works.

What you do

You use it as your direct assistant in your daily life, or call its API to give your own projects intelligence. You can input video clips, voice messages, or hundreds of pages of code and ask it to analyze, summarize, or rewrite the entirety.

Use Cases

Everyday Assistant:
Summarize a 100-page PDF report in three seconds.
Brainstorming:
Ask for help explaining a complex physics concept to a five-year-old.
Creator:
Generate drafts for code, marketing plans, or emails.

Google
AI Studio

The Playground

What it is

A lightning-fast, web-based developer tool (low-code). It provides a visual interface environment to evaluate, adjust, and integrate Google's Gemini models into your own applications.

What you do

Here you write advanced system prompts (System Instructions), set the temperature (how creative the AI is allowed to be), and input test data. When your prompt works perfectly, you click "Get Code" and get ready-to-use Python or JavaScript code to paste into your project.

Use Cases

Data Extraction:
Create a prompt that strictly forces the AI to return unstructured text as a perfectly formatted JSON object.
Persona Design:
Fine-tune the right "tone" and personality for a customer service bot before pushing it live.
Get API Keys:
This is the place you go to fetch the API key for your applications.

Google
Stitch

The Orchestrator

What it is

A framework and platform built to take AI features from prototype to actual production. It's about orchestrating agents that can actually *execute* actions and connect them to your existing business systems.

What you do

You give your AI "tools" (Function Calling). You connect Gemini to your SQL databases or APIs, build logical workflows (pipelines), and let Stitch handle the agent's memory over time, so it understands the context in lengthy processes.

Use Cases

RAG (Enterprise Data):
Let employees chat with the company's entire internal document library and contracts.
Customer Service:
An AI on the website that analyzes the question, checks ERP inventory, and automatically books a return.
Automation:
Schedule AI to read and sort incoming quote requests every morning.

Google
Antigravity

The Multi-Agent System

What it is

The development platform of the future, focused on Agentic Workflows. It's about delegating work to an entire team of collaborating AI agents instead of a single chat.

What you do

You stop "coding manually" and instead become an "architect/project manager". You formulate a final goal. A Lead Agent plans the task and then spins up subordinate agents (e.g., a coder, a reviewer, a tester) that work asynchronously and in loops to build the product for you.

Use Cases

Software Building:
"Build a CRM app". The Design Agent draws the UI, the Code Agent builds APIs, the QA Agent stress-tests until perfect.
Asynchronous Projects:
Tasks that require the AI to browse the web, read dozens of documents, and collect data for hours to compile a report.
The Synthetic Agency:
Manage a flock of specialized agents for large-scale problem solving.