A developer academy path can use the EU AI Act Diagnostic as a reference build. Developers can study how a governed AI application moves from intake to execution, report output and proof.
Operational information, not legal advice.
Developer execution path
Builder entry
Start from SDK, API or reference app entry points instead of uncontrolled prompt work.
Execution path
Structure intake, execution, output and review as one governed workflow.
Proof layer
Keep run context, artifacts, usage and audit signals connected to the execution record.
Developer handoff
Move the pattern into an app, workflow or API-backed implementation.
Developer execution model
Builder entry, execution path, proof layer and developer handoff stay visible as one repeatable implementation model.
Platform proof
The Developer Academy page frames the EU AI Act Diagnostic as a learning path. It helps developers understand how to move from a governed reference app toward their own audited AI applications on M13.
Follow the builder path through the M13 API, inspect the AI execution ledger, or start building audited AI apps.
Execution structure
Builder path
This page describes platform and developer architecture for audited AI execution. It is not legal advice.
Related guides
Build AI applications where execution, proof, billing and governance are native instead of bolted on later.
Use M13 operations to build AI apps with structured responses, usage, billing and execution context.
Understand how execution proof can support trust in serious AI workflows.
See how the EU AI Act Diagnostic works as a reference app for audited AI execution on m-pathy.
Official sources
Google documentation explaining how structured data helps search engines understand page content.
Google guidance for hreflang and localized URL variants, including self-referencing language alternates.
External references are included for source orientation. This page remains operational information and is not legal advice.