AVA BY AURATHEX / DESKTOP OPERATOR BETA

Meet Ava, your desktop AI operator.

Ava combines conversation, memory, voice, tools, and local/cloud AI so you can tell it what needs to get done — and let Ava coordinate the work with your approval.

Desktop-first. Memory-enabled. Tool-using. Built for hybrid local and cloud execution without hiding what it is doing.

AVA v0.5 · PRE-v1 BETA Active development · Supervised use · Features may change.
AVA BY AURATHEX / OPERATOR CONSOLE LOCAL SESSION
Prospect research / 6 of 7 Approval required
Your goal

Research this prospect, summarize their company, and draft a follow-up email.

Ava

Research and extraction are complete. The draft is ready for review before anything is sent or exported.

Waiting for approval
Review draft and action log…

[ 01 / Beyond the chat window ]

Not another chatbot.

A useful answer is sometimes enough. Operational work usually needs context, tools, checkpoints, and a reliable path from request to finished result.

Standard AI chat

Responds inside the conversation.

  • Generates an answer or draft
  • Often starts without saved context
  • Leaves multi-step execution to you
  • Usually lives in another browser tab
Ava by Aurathex

Coordinates approved work from the desktop.

  • Breaks a goal into inspectable steps
  • Uses relevant memory and preferences
  • Selects approved models and tools
  • Pauses for review before sensitive actions

Ava by Aurathex is a desktop AI operator that combines conversation, memory, voice, tools, and local/cloud AI so users can tell it what they need done and let Ava coordinate the work with approval and transparency.

[ 02 / Operating model ]

From goal to reviewed result.

Ava is being designed to coordinate the middle of the work without removing you from the decisions that matter.

01 / Tell Ava the goal

Describe what you need.

Use text or voice. Give Ava the outcome, constraints, source material, and any preferences that matter.

02 / Ava plans and coordinates

Inspect the route before execution.

Ava breaks the request into tasks, checks useful memory, and selects an appropriate local or cloud model and approved tool.

03 / You stay in control

Review, approve, and trace.

Inspect results and action history. Sensitive steps wait for approval, and interrupted work is designed to resume rather than disappear.

[ 03 / Capability becomes utility ]

Technical choices with practical outcomes.

The architecture matters only when it makes Ava more useful, understandable, adaptable, or private.

01 / Models

Choose the AI model that fits the job.

A provider-flexible model layer lets you use supported cloud or local models instead of locking every task to one vendor.

02 / Hybrid execution

Use cloud power or keep work local.

Reach for cloud speed and capability when needed; choose local models when privacy, hardware ownership, or direct control matters more.

03 / Persistent memory

Keep useful context without repeating yourself.

Ava’s developing Supermemory layer can retain approved preferences, project context, and working details across conversations.

04 / Local voice

Talk naturally without routing every word through the cloud.

Local speech-to-text and text-to-speech experiments are aimed at responsive, more private desktop voice interaction.

05 / Tool execution

Move from text generation toward task completion.

Approved tools give Ava a path to research, extract, organize, draft, and eventually act across real workflows.

06 / Control layer

See what happened and recover when work stops.

Audit logs, permission boundaries, approvals, resumable state, and fault-tolerant retries are being built to make execution inspectable.

[ 04 / Concrete workflow ]

One request. Seven visible stages.

“Research this prospect, summarize their company, and draft a follow-up email.”
  1. 01

    Goal understanding

    Ava identifies the prospect, desired output, constraints, and the point where approval will be required.

    Interpreted
  2. 02

    Context and preference lookup

    Relevant saved context—such as your offer, tone, and follow-up style—is retrieved from approved memory.

    Memory read
  3. 03

    Research

    An approved research tool gathers current public information about the prospect and company.

    Tool used
  4. 04

    Extraction

    Ava separates useful facts, potential needs, and supporting sources from irrelevant material.

    Structured
  5. 05

    Draft creation

    The selected model creates a company summary and a follow-up email grounded in the collected context.

    Drafted
  6. 06

    Review display

    Ava shows the draft, supporting context, and action history in the desktop interface.

    Ready
  7. 07

    User approval

    Nothing is sent or exported until you review the result and approve the next action.

    Waiting on you

[ 05 / Desktop first ]

Closer to where the work lives.

Browser chat is useful for isolated questions. Operational work happens across files, applications, voice input, system utilities, and workflows that do not fit neatly inside one tab.

A desktop foundation gives Ava a more practical place to coordinate those systems. It can combine local components with cloud models, stay close to the files and apps you already use, and present approvals and logs in one persistent environment.

Desktop-first does not mean unrestricted access. App and system permissions are intended to be explicit, scoped, reviewable, and revocable.

[ 06 / Beta fit ]

Built for operators willing to test with us.

The Ava beta is for hands-on users who value coordinated workflows and clear control more than a finished mass-market experience.

Good fit right now

People managing several kinds of work.

Founders, agencies, freelancers, consultants, operators, and technical power users are the primary fit. SMB owners, real estate teams, recruiters, sales teams, and e-commerce operators may also benefit.

  • You repeat multi-step workflows
  • You want context to carry forward
  • You are comfortable reviewing beta output
  • You want to test safe agentic workflows
Not the right fit yet

Unsupervised or production-critical deployment.

Ava is not ready for zero-supervision enterprise rollout, unattended replacement of employee responsibilities, or environments that cannot tolerate beta software.

  • You need guaranteed production SLAs
  • You cannot review sensitive actions
  • You need broad enterprise administration now
  • You expect a finished public v1 product

[ 07 / Development status ]

What exists, what is improving, and what comes later.

This matrix separates the current foundation from active v0.6 work and longer-term direction. Roadmap items are not presented as completed features.

Current foundation / v0.5

Working development systems

  • Desktop UI
  • Text conversations
  • Local voice experiments
  • Initial persistent memory
  • Model selection
  • Local execution architecture
Improving for v0.6

Reliability and control

  • Task execution reliability
  • Retrieval quality
  • Clearer action logs
  • Resumable workflows
  • Safer permissions
  • UI and UX polish
Longer-term vision

Broader operational reach

  • Browser and website interaction
  • Direct file and app manipulation
  • Email, calendar, and SaaS integrations
  • Scheduled background tasks
  • Public v1 launch

[ 08 / Beta access ]

Apply to test Ava.

Ava is in active development. Access is limited and application-based while Aurathex improves reliability, permissions, memory, and workflow recovery.

Selected beta testers will help shape Ava before v1 by bringing real multi-step workflows, reviewing supervised output, and sharing clear feedback.

[ 09 / Frequently asked ]

Questions before you apply.

Ava is a supervised beta product in active development. These answers describe the current direction, not a guarantee of final v1 behavior.

Is the Ava beta available now?

Access is limited and application-based. Aurathex is selecting hands-on testers who have real multi-step workflows and are comfortable giving feedback on pre-v1 software.

What can Ava run locally?

The current foundation includes local execution architecture and experiments with local speech-to-text, text-to-speech, and supported local models. Exact local capabilities depend on your hardware and the development build.

Can I choose which AI model Ava uses?

Model flexibility is a core design goal. Ava supports a developing provider layer so testers can select supported cloud or local models and use their own API credentials.

Does Ava get unrestricted access to my apps and files?

No. The intended permission model is explicit and scoped: tools and integrations receive defined access, sensitive actions can require approval, and access should be reviewable and revocable.

How does Ava handle safety and approvals?

Ava is being built around visible plans, permission boundaries, action logs, approval checkpoints, and recovery from interrupted work. These systems are still improving and beta output requires supervision.

How is Ava different from ChatGPT, Claude, or Zapier?

ChatGPT and Claude are powerful conversational AI products; Zapier connects predefined automations. Ava is being developed as a desktop operating layer that can coordinate conversation, memory, models, tools, voice, and approvals in one supervised workflow. It may use external models and integrations rather than trying to replace them.

Ava by Aurathex / Limited beta

Bring Ava a real workflow.

Apply to test the desktop operator with your own goals, preferred models, and approval boundaries. Beta access is limited while the v0.6 reliability work continues.

Apply to test Ava