Visual AI pipeline builder

Build the system,
not just the prompt.

VOIDE is a visual workspace for connecting AI models, memory, prompts, tools, routing, and verification into pipelines you can see, run, and change.

Request early access See what it does

Drag-and-drop pipelines
Local and API models
Visible execution

VOIDE canvas showing an Interface connected to a GPT model — Start simple: connect an interface to a model and run it

Why VOIDE

AI systems should be visible.

Most AI workflows disappear inside code. VOIDE puts the complete system on a canvas so builders can understand what runs, where information goes, and why the result changed.

Compose

Place models, memory, cache, tools, prompts, interfaces, and control modules on a visual canvas.

Connect

Wire fields between modules. Connections define both data flow and execution order.

Run

Build the graph you designed, then watch every module wait, process, complete, bypass, or fail.

Improve

Change one part at a time and test whether memory, routing, verification, or another model improves the result.

How it works

A modular workbench for AI.

Start with an empty canvas. Add only the modules you need, configure them, map their fields, and connect them. VOIDE compiles that visible design into an executable pipeline.

VOIDE Wire Options mapping user message, history, and attachments to model inputs

The canvas is the specification

What you connect is what runs.

VOIDE does not hide a preset pipeline behind the interface. Wires carry mapped data, modules are plug-ins, and execution telemetry shows the state of the system as it runs.

ModularInspectableProvider-flexibleRepeatable

Build experimentsCompare models, memory designs, prompts, routing strategies, and multi-model workflows.

Understand failuresSee which module ran, what route activated, and where the pipeline stopped.

Keep controlUse local models, API models, or both without redesigning the entire workflow.

VOIDE canvas showing Gemini, GPT, prompts, Cache, and Log modules connected in a multi-model pipeline — **Grow from one model to a complete system.** This working graph combines Gemini and GPT with separate prompts, shared cache, and passive logging. Solid wires carry the data stream; dashed and dotted connections inject or observe selected fields.

Early access

Would you use VOIDE?

VOIDE is under active development. I’m looking for AI builders, developers, researchers, and curious early users willing to try it and give direct feedback about what is useful, confusing, or missing.

prodieseltech@gmail.com