Deployment · 04

Elevate — Wrapping Code, Data & Models

Elevate is the code-aware path into Wantware. It wraps existing codebases, binaries, AI models, and media into Aptivs — adding Meaning Coordinates, trust enforcement, and semantic traceability without requiring rewrites. Nothing that has not passed through Elevate can execute inside a [.wv] stream.

The trust boundary

Every [.wv] stream enforces a strict boundary: only Aptivs wrapped and validated by Elevate are permitted to execute. Anything outside this boundary is treated as untrusted by default — flagged, sandboxed, or rejected before it can act.

This applies equally to legacy code, AI-generated code, third-party libraries, and data streams arriving via API or network. Elevate does not assume safety from any source. Even content embedded in documents or arriving as structured data is sanitized before interpretation — any executable logic introduced through unwrapped sources is stripped automatically.

Never trust by default

Unverified code, models, and data cannot execute within a [.wv] stream regardless of origin. Trust is established through declared intent and Elevate validation — not assumed from the source.

What Elevate accepts

Elevate operates across the full spectrum of digital input types — not just source code. All three categories produce Aptivs that participate in the same composition model and are subject to the same trust enforcement.

Category Examples Aptiv type produced
Code and logic Source code (C++, Python, Rust), ML models, compiled binaries PowerAptiv
Structured data CSV, SQL outputs, logs, telemetry, IoT sensor feeds RecordAptiv
Unstructured media Video, audio, images, X-rays, LiDAR scans, PDFs SignalAptiv or ExperienceAptiv

Two creation paths

[.wv] streams can be built through two distinct paths depending on whether existing code is involved. Both paths produce the same output: Aptivs inside a [.wv] stream, subject to the same trust enforcement and composable without middleware.

Elevate — code-aware path

Used when [.wv] streams need to incorporate or modernize existing code, binaries, or toolchains. Elevate detects and maps code structure to Meaning Coordinates, wraps logic in intent-based safety layers via SecuriSync, and maintains backward compatibility while advancing the component into the adaptive execution model.

Developers can continue using source code, scripts, analyzers, and models. Elevate wraps them in a trust-enforced framework without requiring refactoring. The existing logic continues to run internally; from the outside it behaves as a standard Aptiv.

Synergy — codeless path

Used when building new capabilities without code. Users express intent via natural language, gestures, or visual selections. Synergy translates that intent directly into [.wv] streams using Meaning Coordinates, constructing Aptivs in real time. No programming knowledge required.

When a codeless Aptiv needs to interact with Aptivs that contain code, Elevate handles that bridge automatically — enabling seamless composition across code-aware and codeless components.

How Elevate transforms logic

When Elevate ingests source code, it does not simply translate it into another format. It reconstructs the logic as Aptivs that carry embedded meaning, trust constraints, and adaptive behavior — preserving the purpose of the original code even when the execution form changes.

Property Before Elevate After Elevate
Logic definition Written in code; language and toolchain dependent Extracted as structured intent using Meaning Coordinates
Meaning preservation Implicit; understanding requires developer documentation Explicit, traceable, and preserved across time and platforms
Trust enforcement Handled externally through audits and test coverage Built-in via Trust Tests and Meaning Coordinates; verifiable at runtime
Deployment Tied to runtime environments, OS versions, and hardware constraints Platform-independent; runs across OS, hardware, and cloud/edge
Adaptability Requires rewriting or recompilation to adjust behavior Real-time updates based on context, inputs, and policy
Transparency Difficult to inspect or verify once deployed Fully inspectable, explainable, and composable at any layer

The four-step workflow

Step 1 · Import

Select any directory or file — source code, binaries, media, or data. A file type filter refines which components are analyzed. Elevate prepares each input for semantic transformation without requiring manual configuration.

Step 2 · Detect

Elevate parses folders, infers build environments (CMake, Gradle, and others), identifies dependencies, and maps relationships between components. No manual configuration is needed — the structure of the existing project is read directly.

Step 3 · Wrap

Components are converted into Aptivs. Meaning Coordinates are applied automatically, enabling trust enforcement, traceability, and adaptability at runtime. The original functionality is preserved; the execution model becomes adaptive.

Step 4 · Combine and deploy

Aptivs are connected into executable logic flows, validated via trust scores and policy gates, and packaged as [.wv] streams. The output includes everything needed to run — secure, portable, and platform-independent.

Availability

Capability Status
SPIR-V export via Chameleon (GPU instruction generation) Available now
Legacy code transformation into PowerAptivs Available now
SecuriSync trust enforcement wrapping In development
Synergy codeless creation path In development
Full Elevate UI with drag-and-drop import In development
Practical Takeaway

Elevate does not ask teams to abandon existing code — it wraps it. Legacy systems, AI models, and third-party libraries become Aptivs with embedded trust and semantic traceability, without refactoring. The trust boundary it enforces means nothing executes inside a [.wv] stream unless it has been explicitly validated — regardless of origin.