Features

Everything an AI asset needs, in one workspace.

Creation, reusable architecture, testing, optimization, versioning, collaboration and deployment — connected around a single object instead of split across tools.

Start Creating →See How It Works →

The object

One asset. Many capabilities.

Structure, variables, versions, tests, permissions and integrations are properties of the asset — not separate tools you have to reconnect.

asset/support-reply-system

DesignerEngineerViewer

Wrappertone / brand-voice

Modulecompany-context

Blockresolution-steps

Variable{{customer_name}}

Moduleescalation-policy

01 — Capability group

Create

Three ways into the same asset, so the tool matches the person using it.

Designer Mode

Build AI assets visually without needing to work directly with raw structure.

Makes complex assets easier to create and understand.

Visual creation without sacrificing structure.

Engineer Mode

Directly manipulate the underlying asset structure, variables, modules and content.

Provides maximum control for advanced users.

Precision when you need it.

Viewer Mode

Consume, inspect, compare and work with existing assets.

Use AI assets without needing to edit them.

02 — Capability group

Compose & reuse

The parts of an asset are objects you maintain, not text you duplicate.

Modules

Create reusable pieces of content and logic that many assets can link to.

Build once. Reuse everywhere.

Blocks

Break an asset into ordered, individually editable sections.

Structure instead of a wall of text.

Wrappers

Apply contextual instructions, metadata and processing behaviour to existing content without duplicating it.

Change behaviour without duplicating content.

Variables & Types

Insert typed dynamic values into assets and validate what gets passed in.

One asset → thousands of personalized outputs.

03 — Capability group

Improve & test

Improvement becomes a measured process rather than manual trial and error.

Enhancer

Use AI to improve an existing asset against a goal you define.

Turns rewriting into a systematic, repeatable step.

Continuously improve what you already built.

Playground

Experiment with assets, models, variables and configurations side by side.

Find what actually works before deployment.

Testing

Create repeatable evaluations you can re-run whenever an asset or model changes.

Measure changes instead of relying on intuition.

Optimization

Run improvement loops across candidate variations, models and providers.

Optimization can also target execution cost, not only output quality.

Target → Test → Compare → Improve → Validate.

04 — Capability group

Manage & collaborate

Everything an asset has been, and everyone allowed to change it.

Version Management

Track and compare asset changes, restore earlier versions and separate drafts from published states.

Treat AI assets like software.

Collaboration

Shared workspaces, roles, permissions, comments and team management.

Individual AI knowledge becomes team infrastructure.

Publishing

Control availability per asset: private, team-only, link sharing or public.

Know exactly what is live and to whom.

05 — Capability group

Use anywhere

PromptVerse can be the source of truth without being the execution environment.

API

Expose PromptVerse assets to your own applications and services.

Use your AI assets anywhere.

MCP

Make assets available to AI clients and agents that speak the Model Context Protocol.

Agents read from the same source of truth.

CLI

Work with PromptVerse directly from development environments and scripts.

Bring PromptVerse into your development workflow.

Stop managing AI in copy and paste.

Create a system for the prompts, workflows and agents your business depends on.

Start Creating →Explore the Platform