Voice-first human review for AI workflows.
AVRT is being developed as a voice-first human review and authorization layer for AI workflows. Created by Jason Proper, founder of BGBH Threads LLC, it is designed to help people pause, examine a proposed action and keep consequential decisions under human authority.
Development-stage prototype. Private demonstrations and commercial discussions are open.
Our aim is practical: give the person a clear place to review what is proposed, consider consequences and record their decision.
Assessment supports a decision; it does not make a human decision for them.
Show what the prototype did, what it did not do and where uncertainty remains.
Preserve a reviewable record without treating a record as proof that its contents are true.
The intended role is to complement AI workflows with explicit human review and authorization. Connections to external enterprise systems remain planned work.
An AI response can sound persuasive while missing context or making a mistake. A proposed action needs a separate decision about whether, when and under whose authority it should proceed.
What exactly is being requested?
What information is missing or unsupported?
An assessment or spoken summary is not permission to execute.
The current private AVRT Lab development app combines proposal entry, local assessment, fixed spoken summaries and human decision records in one iPhone/iPad prototype.
Founder-run iPhone testing has exercised dictated proposal capture, assessment presentation, matching spoken-summary playback, an operating-system authentication prompt, receipt creation and an in-app chain check.
These are internal prototype observations, not independent validation or a production-readiness claim.
Enter a synthetic action by typing or dictation.
Read the assessment and listen to its matching fixed summary when available.
Choose a human decision, complete the applicable authentication prompt and inspect the resulting receipt.
The demonstration uses recording-only or explicitly labelled local mock behavior. It does not send email, transfer money or control another company's system.
The combined app has demonstrated voice output. Assessment quality, dictation reliability and lifecycle behavior still require work. iPad acceptance is partial.
Independent evaluation, external integration, network-disabled operation and suitability for enterprise deployment are not established.

A human review and authorization layer in development.
AVRT is intended to support a clear boundary between a proposed action, an advisory assessment and an authorized human decision. Public demonstrations focus on observable behavior; confidential implementation details are not published here.
Make proposals and summaries easier to review through speech as well as text.
Keep assessment, authentication, recording and execution distinct.
Make decision records inspectable while explaining what their checks do and do not establish.
These are product goals; integration and effectiveness must be evaluated in each intended environment.
A spoken summary communicates the displayed state. It does not approve or execute the action.
Jason's product direction centers on helping people pause, review and make accountable decisions when working with AI.
Founder of BGBH Threads LLC and creator of AVRT.
Jason leads the product vision, voice-first requirements and founder demonstrations. He is seeking a team that can carry qualified technical evaluation, implementation and commercialization alongside him.
Commercial discussions should define a continuing, compensated founder role with clear responsibilities.
Describe observed behavior accurately. Preserve human authority. Make uncertainty and limits visible.
Model output can be incorrect, incomplete or unavailable.
An OS prompt is not independent proof of a named person's identity.
An integrity check does not prove a described event happened.
A local prototype does not establish enforcement in an external system.
We welcome a qualified technical team to define useful evaluation criteria, inspect an appropriate protected demonstration and determine what further evidence a potential partner needs.
A private demonstration is an opportunity to assess fit.
It is not a guarantee of performance or a commitment to an engagement.
Our goal is to complement AI capability with a clear, usable moment of human authority. Turning that goal into deployed integrations requires technical diligence and a capable implementation team.
Agree a bounded scope, qualified reviewers and meaningful acceptance criteria.
Examine technical fit, required integration work and a protected commercial process.
Explore alignment with a partner capable of developing and scaling the work.
Define Jason Proper's continuing, compensated role, responsibilities and contribution.
These are opportunities for discussion; no partner, transaction, funding or customer commitment is being claimed.
For a private demonstration or a discussion of funded evaluation, licensing, co-development, strategic investment or acquisition, contact Jason Proper at BGBH Threads LLC.
These links open your email application. Please keep initial inquiries nonconfidential.
A voice-first human review and authorization layer in development.
© 2026 BGBH Threads LLC. All rights reserved. | AI drafts. Humans review. Humans stay accountable.
AVRT