Product details

Liora detailed guide

This guide explains how to introduce Liora and move from conversation to development or creative work. You do not have to configure every capability at once. Add the models, agents, and supporting environments required for the roles you intend to use.

From first setup to a reviewed result

Step 1
Choose the role
Decide whether the current job is conversation, research, software development, or image, video, or music creation. The role narrows down which AI and supporting tools need to be configured.
Step 2
Select the AI and connection
Choose a local model, Codex, Claude Code, or a supported generation environment for the task. Unconfigured capabilities remain separate, so you can begin with the parts that are ready.
Step 3
Carry the conversation into practical work
Move an idea or research result into Work Mode files, plans, tasks, Git, and the terminal, or into the production brief in Creative Mode. The next place to inspect remains within the same application.
Step 4
Review and preserve the result
Inspect changes, tests, generated assets, and history before continuing. Keep the conversation, settings, and working record organised so the next task can build on them.

Practical use cases

Think through a problem with local AI

Begin everyday questions or document-based research with a local model, then use web search or cloud AI only when the task needs it.

Move from a development plan to verification

Open a project and work with a coding agent through planning, implementation, diff review, and tests in the same workspace.

Organise a creative brief and generation history

Prepare the purpose, mood, style, and reference material for image, video, or music work, then reuse earlier settings and results in the next variation.

What Liora brings together and what you configure separately

The Liora workspace

Liora provides the entry points and review surfaces for the work.

Conversation and project organisation
Work Mode and Creative Mode workspaces
Settings, history, diagnostics, and backup
Fallback when an optional capability is not configured

Setup for the roles you use

Each external engine or service has its own installation or account requirements.

Ollama or another local provider plus a model for local chat
Codex CLI or Claude Code CLI plus sign-in for coding-agent work
Supported software, models, or hardware for speech and generation
A network connection and account for web search or cloud AI

Capabilities and requirements

What changes with this product

Use the right AI without rebuilding your workspace.

Use local AI for everyday questions, then move to Codex or Claude Code for code analysis and implementation. The entry point stays familiar even when the work becomes more technical.

Keep conversation and practical work together.

Conversation history, long-term memory, and document search sit alongside Work Mode, where files, plans, tasks, Git, and a terminal remain part of the same working context.

Automate work without removing review.

File edits and external tools follow the confirmation rules you set. You can decide what the AI may do and where a person should inspect the result before continuing.

The full capability set

Conversation, search, and knowledge.

Start with chat, then bring in earlier context and information stored on the PC.

Switch between Ollama, LM Studio, and llama.cpp models.
Voice input, speech recognition, and speech output through configured engines.
Long-term memory, semantic search, and document search.
Web search when current external information is needed.

Work Mode.

Bring the information and controls needed for software work into one workspace.

Browse and edit project files.
Review plans, tasks, and proposed changes.
Run and resume Codex or Claude Code sessions.
Use Git and the terminal to inspect and verify work.

Creative Mode.

Connect supported local generation environments and keep creation entry points and assets together.

Entry points for image, video, and music workflows.
Connections to supported environments such as ComfyUI.
Installed-model checks and an asset library.
Safe fallback when an optional generation tool is unavailable.

Extensions and maintenance.

Add capabilities deliberately and retain ways to diagnose or recover the application.

MCP servers, skills, and permission-reviewed plugins.
PC actions and automation tasks.
Diagnostic logs, database checks, and backups.
Safe Mode that starts without optional external services.

Requirements and support

Operating system: Windows 10 or 11.
Core AI: Ollama is the core local provider, with connections for LM Studio and llama.cpp. Models are installed separately.
Coding agents: Codex CLI and Claude Code CLI are supported when each CLI is installed and signed in.
Optional capabilities: Speech, generation, MCP, and plugins depend on the supporting software and models you configure.
Local data: Conversations, memories, settings, and logs are stored in Liora's local Windows application data.

Frequently asked questions

Can I use Liora without an internet connection?

Core chat and local features can run offline once Ollama and the required models are installed. Web search, cloud AI, and external services require a network connection.

Do I need every AI and supporting application?

No. Start with Ollama and add only the capabilities you need. Missing speech, generation, or coding-agent tools are disabled without preventing the rest of Liora from working.

Can Liora run Codex and Claude Code?

Yes, after the corresponding CLI is installed and signed in. Available models and usage limits are governed by each CLI and account.

Will AI change project files automatically?

Work Mode follows its confirmation settings. Review important diffs, tests, and Git changes before accepting the result.

Can I check whether my PC is ready?

Liora includes diagnostics for model providers, speech, generation tools, and coding agents, so each optional capability can be checked separately.

Can I use Liora without technical AI or PC experience?

Liora includes a core usage guide and an AI setup guide, but configuring local AI providers and development tools still requires basic PC and AI knowledge. Individual installation work and support for PC-specific setup are not included.

Where can I buy Liora?

Liora is not currently offered as an open self-service download. After reviewing your intended use and PC environment through the enquiry form, we provide it individually for $199 USD.

Price and included materials

Liora

$199 USD

For people who can configure their own PC and AI environment

Receive Liora together with guidance for preparing local AI providers and coding agents. The guide does not guarantee successful setup on every PC.

Liora installer
Core usage guide
Pre-installation checklist
Codex setup instructions
Claude Code setup instructions
Troubleshooting guide
Licence and release notes

Ask about Liora

From enquiry to delivery

01
Review the use case and PC
We ask which capabilities you need, your Windows version, memory, GPU, available storage, and your level of PC and AI experience.
02
Confirm compatibility and terms
Based on that review, we explain the supported scope, required preparation, delivery timing, and areas that are outside the support boundary.
03
Provide an individual download
After payment of $199 USD is confirmed, we send a time-limited download and the included setup guide.

The price is $199 USD. Applicable taxes may be added based on your location. Supported scope, delivery timing, cancellation, and refund terms are provided before payment. Fees for external AI services, models, and paid third-party services are not included. Windows may display a security confirmation while Liora is offered on a limited basis.

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