Set the boundaries.
Choose project context and whether PizzaAI can suggest changes or request checks.
The local AI workspace
Your AI. Your machine.Served locally.
Explore your code. Make changes on your terms. Powered by local models, with your approval before anything is applied.
- Runs on your machine.
- Local models process your project context on your hardware.
- No per-token inference fees.
- Your hardware powers the model. Product pricing is separate.
- You approve the changes.
- Review proposed edits before they reach your files.
A different direction
Bring the intelligence
to your data.
Cloud AI sends your context to a remote model. PizzaAI brings the model to the computer where your work already lives.
Cloud inference Remote processing
Your filesSelected context
Cloud modelUploaded context
ResponseBack to you
The model runs on someone else's infrastructure.
PizzaAI On your machine
Your filesLocal context
Local modelYour hardware
ResponseRight here
One machine. No cloud model in the middle.
Private by architecture
Private isn't
a setting.
It's the starting point.
For local workflows, your project context is processed on your own hardware. Privacy starts with where the work happens.
- Local inference
- Models run on your machine through Ollama.
- Local project context
- Your files stay close to the work they belong to.
- Your model choice
- Use compatible models installed on your device.
- No cloud token meter
- Local inference is powered by your hardware.
From a request to a reviewed change
Let AI do the work.
Keep the final say.
Ask for a change. Follow the work. Inspect the proposed diff before anything is written to your project.
Describe the result you want. PizzaAI connects the request to your active project and the context it needs.
View full-size screenshot ↗
Follow the task, the project files it reads, and the agents working on it. The activity history gives you context for the result.
View full-size screenshot ↗
See the changed file and exact diff. Approve to write the change to disk, or reject it and leave the file untouched.
View full-size screenshot ↗One workspace. Three ways to begin.Discuss to explore.Plan the approach.Build with approval.
Review before writing.
Proposed edits and commands wait for your decision. Approval is part of the workflow.
Keep a record.
Project sources and task activity help you understand how PizzaAI arrived at a result.
Your machine. Your models.
A workspace.
Not a model
subscription.
Use compatible local models through Ollama. Choose a model for the task and the hardware you have, without tying your workspace to one cloud AI provider.
Your task.THE STARTING POINT
Your model.COMPATIBLE WITH OLLAMA
Your hardware.WHERE IT RUNS
Model compatibility and performance vary. Larger models need more memory and compute.
Local compute. Different economics.
Stop counting
tokens.
Local inference runs on your hardware.
PizzaAI does not resell it to you by the prompt.
Product pricing is separate from inference. Your hardware, electricity, and any model license terms still apply.
For work that matters
Some work belongs
on your machine.
Start with the code you own. Keep the context close. Decide what changes.
Proprietary code.
Explore an unfamiliar repository, plan an improvement, and review a proposed change without sending project context to a cloud model.
Independent work.
Bring local AI to the software you build. Choose compatible models and work with the hardware already on your desk.
Research projects.
Understand and improve code while keeping local project context on your machine and proposed changes visible.
A few useful details
Before you begin.
What can PizzaAI do today?
The current product focuses on coding and project work: reading repositories, discussing and planning tasks, proposing file changes, requesting approved commands, and recording task activity. Broader computer automations are coming next.
Does it work without the internet?
Core project workflows run with local models through Ollama. Installation, model downloads, updates, and license checks may need internet access. A fully air-gapped deployment is not currently promised.
Which models and computers can I use?
PizzaAI works with compatible models running locally through Ollama. Model size, available memory, and compute affect performance. Supported configurations and setup guidance will be shared with private beta participants.
Is this ready for regulated environments?
Local processing can support data-handling requirements, but it is not a compliance certification. PizzaAI is preparing for private beta. Enterprise controls and suitability for a regulated deployment would need a separate evaluation.
Will I pay per prompt?
PizzaAI does not charge per token for local inference. Product pricing, hardware costs, and the licenses of the models you choose are separate.
When can I download it?
A public download is not available yet. Join the private beta list for product updates and early-access details.
Your AI. Your machine. Served locally.
Make room for
a more local AI.
Join the private beta. Help shape a workspace that brings the intelligence to your work, and keeps you in control.
Private beta in preparation
Product updates and early-access invitations only. Read our Privacy Notice.
Private beta
You are on the list.
Thanks for joining PizzaAI. We will send product updates and early-access details as the private beta gets closer.