Human-written code
Inspect unfamiliar, inherited or legacy projects before relying on assumptions about their quality and readiness.
INDEPENDENT SOFTWARE VERIFICATION
Don't trust code because it looks right. Verify it.
Jane Verify independently inspects, tests, validates and documents human-written, AI-generated and mixed software. It is the verification layer between code generation and trust.
LOCAL OR CLOUDISOLATED WORKSPACESCONTROLLED EXECUTIONJANEOS CAPABILITY KERNEL
PROJECT VERIFICATION
HEALTH96%
TESTS184/184
SECURITYPASS
✓ Project structure identified
✓ Build and static analysis
✓ Permitted tests executed
✓ Architecture inspected
△ 2 documentation drift warnings
✓ Verification evidence generated
WHY VERIFY EXISTS
Generating software and trusting software are different jobs.
AI can produce large amounts of code quickly. Developers still need an independent answer to a harder question: what actually works, what failed, what remains risky, and what evidence supports that conclusion? Jane Verify is deliberately separate from the system that wrote the code. Generate with whatever tools you choose; verify independently with Jane.
AI-generated code
Put an independent verification boundary between code generation and deployment instead of asking the generator to grade itself.
Mixed projects
Validate modern repositories where developers, assistants and autonomous coding agents all contribute to the same system.
THE JANEOS DIFFERENCE
Run code you don't trust without giving the AI unrestricted authority.
A repository is untrusted input. Jane Verify places projects in controlled workspaces and routes execution through permitted JaneOS capabilities. The reasoning model can propose an action without automatically receiving permission to execute arbitrary code on the host.
The model reasons. JaneOS controls authority.
HOW IT WORKS
From repository to evidence.
Understand
Identify languages, frameworks, dependencies, configuration, project structure and applicable validation paths.
Isolate & inspect
Create a user-bound workspace and inspect code, architecture, dependencies, configuration and security-relevant implementation choices.
Test & validate
Execute permitted validators and project tests inside controlled boundaries and record explicit pass, fail and skip evidence.
Report & document
Turn findings into structured verification results and documentation that reflect the software that actually exists.
JANE + VERIFY
Verification becomes part of a persistent understanding of the project.
Jane is not a disposable chat session attached to a scanner. Jane provides the persistent cognitive layer on JaneOS: project context, memory, knowledge, attention, investigation and reflection. Findings can therefore be related to previous findings, architectural decisions, documentation and ongoing work instead of being forgotten when a model invocation ends.
Project memory
Retain architectural decisions, recurring issues, exceptions and previous verification evidence across work sessions.
Investigation
A suspicious finding can become an investigation that accumulates evidence instead of disappearing into a one-off answer.
Independent reasoning
The language model is a reasoning provider. Persistent project state and execution authority remain outside the model.
WHO IT IS FOR
A verification boundary for developers and organisations.
Developers
Check AI-generated or unfamiliar code before trusting it.
Consultants
Create an independent technical pass and evidence before client delivery.
Engineering teams
Separate software generation from the decision to release it.
Technical diligence
Build a structured understanding of unfamiliar repositories and identify areas that require deeper human review.
THE POSITION
Not another code generator.
Coding assistants help create software. Traditional scanners find specific classes of defects. Jane Verify brings validation, controlled execution, evidence, documentation and Jane's persistent project cognition together as an independent verification layer.