What Problems AXAG Solves
AXAG addresses a specific class of problems that arise when AI agents attempt to interact with systems designed exclusively for human users.
Problem 1: Semantic Opacity
Human interfaces express meaning visually. Agents need meaning expressed declaratively.
AXAG annotations attach machine-readable intent, entity type, action classification, parameters, and constraints to every interactive element.
Problem 2: Scraping Fragility
Screen scraping is the current dominant approach for agent–UI interaction. It is inherently brittle.
AXAG replaces scraping with stable semantic contracts that survive DOM changes, CSS rehashing, layout restructuring, and localization updates.
Problem 3: Safety Blindness
Agents cannot distinguish between low-risk reads and high-risk mutations without explicit declarations.
AXAG classifies every operation by risk level, declares confirmation and approval requirements, and specifies preconditions that must be satisfied before execution.
Problem 4: Discovery Failure
Agents cannot browse navigation menus or scan page layouts to discover available operations.
The AXAG Semantic Manifest exposes all available operations as structured, queryable metadata — eliminating the need for visual discovery.
Problem 5: Parameter Ambiguity
Form fields, dropdowns, and input controls do not declare their semantic role to agents.
AXAG parameter annotations declare field type, validation rules, required status, format constraints, and relationships between fields.
Problem 6: Cross-Product Inconsistency
Every product requires a custom scraper or integration. There is no universal interaction contract.
AXAG is domain-agnostic. The same annotation vocabulary works across e-commerce, CRM, marketing, analytics, travel, support, and any other product category.
Problem 7: Governance Vacuum
Organizations have no standard way to govern, validate, version, or audit agent interaction semantics.
AXAG provides conformance levels, validation rules, CI integration, and a governance model for controlling how interfaces expose operations to agents.
The Core Thesis
If an interface exposes operations to AI agents, the semantics of those operations MUST be explicit, validated, and governed — not inferred from visual presentation.
This is the problem space AXAG occupies. It is not a UI framework, not an API specification, and not a metadata format. It is a semantic interaction contract standard.