AI can generate the interface.
ĀML™ can make the decision inspectable.
ĀML™ — ĀRU Meaning Language™ — is an experimental accountability layer for AI-generated interfaces. It gives software a structured way to carry meaning, policy, provenance and evidence alongside the decision about what a person sees.
↓
POLICY
↓
DECISION
↓
EVIDENCE
The simplest explanation
HTML says what to display.
ĀML™ explains why.
ĀML™ does not need to replace HTML, React, or the modern web. It can sit above or beside existing interface technology as a policy, provenance, and evidence layer.
The smallest working machine
One rule. Deterministic output.
One experimental policy in the public prototype is deliberately simple:
restoration_value
1
attention_cost
5
render_allowed = restoration_value >= attention_cost restoration_value = 1 attention_cost = 5 → SUPPRESS
The web you already have
Do not rebuild the internet.
Add accountability.
Existing interface elements can be connected to ĀML™ meaning and policy data while the browser continues rendering ordinary web technology.
From an invisible AI decision to an inspectable record
Meaning → Policy →
Decision → Receipt.
A decision does not have to disappear after the interface renders. ĀML™ research includes receipts, hashing, provenance and replayable evidence so important decisions can be inspected later.
Declare meaning
Describe the purpose and policy-relevant inputs.
Evaluate policy
Run the declared inputs against an explicit rule.
Allow or suppress
Produce an inspectable machine-readable decision.
Preserve evidence
Bind the result to hashes, provenance and replayable records.
Real screens. Real questions.
Stop grading your own demo.
A meaningful test uses an actual screen, preserves the exact snapshot, records where the labels came from, executes the policy, and publishes the outcome — including inconvenient outcomes.
Do not trust the pitch.
Test the boundary.
Exact screen. Exact labels. Provenance. Deterministic decision. Reproducible evidence.
Credibility requires boundaries
What ĀML™ is — and is not.
ĀML™ is
- • A working open-source research prototype.
- • A deterministic interface-policy system.
- • A way to make declared meaning and evidence inspectable.
- • A system that can bind decisions to receipts and hashes.
- • An invitation for outside engineers to reproduce and challenge the work.
ĀML™ is not
- • A scientific measurement of human attention or wellbeing.
- • Automatically correct when dishonest labels are supplied.
- • A ratified global or government standard.
- • Independent validation merely because internal CI passes.
- • A universal detector of manipulation or human harm.
Why companies should care
AI is moving from generating content to generating human experiences.
When software dynamically decides what people see, organizations may need to answer harder questions: Why did this appear? Which policy allowed it? Who supplied the inputs? What evidence exists? Can somebody else reproduce the result?
HTML renders the interface.
ĀML™ can govern and explain the decision to render it.
Research · Integration · Licensing · Collaboration
For organizations exploring AI interface accountability, ĀML™ research, commercial integration, licensing, or strategic collaboration, contact ĀRU Intelligence™.
(971) 306-9980Do not endorse ĀML™ first. Verify it first.
Clone the repository. Run the proof. Inspect the policy. Challenge the labels. Test a real screen. Publish the evidence.
ĀML™ — ĀRU Meaning Language™ · ĀRU Intelligence™ · AI Interface Firewall™ · View Meaning™
© 2026 ĀRU Intelligence Inc. All rights reserved. © 2026 Daniel Jacob Read. All rights reserved where applicable.
ĀML™, ĀRU Meaning Language™, ĀRU Intelligence™, AI Interface Firewall™, View Meaning™ and associated names, logos, product names, service identifiers, slogans, terminology, visual identities and source-identifying brand elements are claimed trademarks and/or service marks of their respective owner(s), including ĀRU Intelligence Inc. and/or Daniel Jacob Read, as applicable.
Open-source code rights do not automatically grant rights to official ĀRU or ĀML trademarks, service marks, logos, certification language, trust marks, endorsement claims or proprietary commercial branding. Technical compatibility or conformance does not imply official ĀRU Intelligence™ endorsement, certification, sponsorship or authorization.
ĀML™ is currently a working research prototype. Attention-cost, restoration-value and related values are declared or modeled policy inputs and are not represented as objective psychological, medical, neurological or scientific measurements. Nothing on this page claims that ĀML™ is a ratified international standard, government standard, independently certified technology, scientifically validated measure of human harm or proof of broad commercial adoption.