We organize project materials and scope of work, and connect them from execution of Claude Code/Codex to build/test, verification of evidence, and human acceptance. This is a development management solution that applies controlled AI agent development methodology to actual work.
Core flow verification for development completed, function expansion and release in progress
We connected the project with Context Pack, Work Order/Approval, Claude Code/Codex execution, isolated build/test, and documentation/human acceptance. Document creation, publication, export, knowledge search, MCP, and backup and restoration were also implemented.
In one representative task, we check everything from data preparation to verification and acceptance. Existing storage and work tools, AI use policy and data transmission scope, roles in charge, and application environment are determined together.
The full semantic tracking of requirements, design, and testing, team collaboration, and releases and KPIs are subsequent extensions. Operation certification/signature, license, and distribution method are confirmed during the launch preparation stage.
We have completed implementation and verification of the core development flow, and are in the process of expanding functions and preparing for release. The current homepage provides an introduction and actual verification screen. Public download/online execution experience and delivery schedule will be announced after preparation.
GAADM application consultation ↗The current verification was performed based on development roles/signatures and controlled example projects. The authentication, authority, and data protection of the customer's operating environment and the actual scope of application are separately confirmed.
GAADM is a Governed AI Agent Development Methodology, that is, a controlled AI Agent development methodology. It specifies the work to be done by AI and connects it to execution, verification, and acceptance procedures while maintaining quality responsibility for each step of the project and human quality.
The methodology covers the project, sprint, and agent work cycles together. GAADM PMS, which supports this, has implemented the core flow of current work units and is expanding team and release management and overall tracking capabilities.
First determine the basis for the work and the allowable range of changes and then execute them. Inspection failures lead to supplementation and re-approval, and are the difference between successful implementation and final human acceptance.
Select the target repository and the source/document required for the task.
Bind your work by anchoring references and versions.
Set goals, files allowed for modification, completion conditions, and inspection commands.
Review and approve work scope and execution/verification plan.
Claude Code·Codex creates a change plan and applies it to a separate space.
Check build and test results and classify failure, interruption, and non-execution.
Link changes, execution history, and verification/approval basis.
Results and evidence are reviewed and accepted or supplemented with a new revision.
Search documents by keyword, meaning, and relationship, and pin the selected citation source and version to Context. You can check the necessary evidence for each task.
Manage the purpose, allowable path, completion conditions, and inspection commands with Work Order. Changes and retries are subject to a new revision and re-approval.
Choose from two AI tools to create change plans and execute and validate them in a space separate from the original. Even after acceptance, reflecting the original is a separate procedure that reviews before and after changes.
Records actual commands and results in a Node.js 24 environment. It installs without a network with a fixed cache of public npm, and distinguishes failures, timeouts, and interruptions from success.
Manage document drafts, versions, reviews, and publications, and pin publications to context. Export documents and work traces to Markdown, HTML, JSON and Word, PDF and Excel.
It links task, execution, gate, and acceptance records and verifies their integrity with a hash and signature for development. Provides recovery of changed files and encrypted backup/restoration of the entire runtime/project.
| review area | Input to prepare | Results to check |
|---|---|---|
| basis of work | Project sources/reference documents, publications and selected search citations | Context Pack with fixed version |
| Task/execution plan | Purpose of work, acceptable files, completion conditions, roles and approval plan | Approved Work Order and Revision History |
| Verification Plan | Build/test commands, dependency locks, and necessary execution environment | Actual exit code/log, installation receipt and Gate result |
| Acceptance/Output | Details of changes, traces of implementation and basis for human judgment | Records of acceptance and rejection, documents, work packages and recovery records |
Currently, build and test support Node.js 24/npm and a fixed cache based on public npm lock. After checking the environment, package, and input size limitations, determine the pilot range. Full requirements tracking/operational release automation and other language environments follow.
This is the dependency environment selection and actual build/test results confirmed in the example project for development. This is not customer operational data or online live experience screens.
Original Korean source material. See the English explanation on this page.
Original Korean source material. See the English explanation on this page.
Data standards: GAADM methodology introduction material and GAADM PMS implementation and verification record as of October 23, 2026. We have organized the proposed scope of the methodology and the current product features.
We check the AI use policy, project data, verification environment, and provision status, and determine the scope of application starting from small tasks.
GAADM application consultation ↗GAADM is a development methodology in which humans determine intent, scope, and acceptance criteria and verify and approve AI execution. GAADM PMS is a solution that implements the process through task, execution, and traceability management, and is currently at the stage of implementing and verifying the core flow of the work unit.
Relationship between methodology and solutionWe currently select two tools to create change plans and connect them to actual execution and verification flows. Accounts for installing and using tools and the allowable scope for AI transfer of project materials are confirmed before piloting.
Current Implementation FeaturesThe current homepage provides solution introduction and actual verification screen. We are verifying the core flow for development and expanding functionality, but public downloads and online experiences are not yet available. Pilot objectives and application conditions will be reviewed during the consultation.
Development/Provision StatusThe current solution consists of a Local Runtime separate from the Electron desktop app. In-product build/test supports Linux Node.js 24/npm and public npm lock-based cache. Other language/package managers, private repositories and bulk input are follow-up scope.
Input and verification rangeWork results are verified in a space separate from the original. Reflection of the original is a separate procedure to check before and after changes after a person accepts them. Currently, approval roles and trail signing are implementations for development purposes, while operational authentication, signing, and authorization policies are finalized prior to launch and customer deployment.
From approval to acceptancePrepare small representative tasks, related sources/documents, scope of modification, acceptance criteria, and build/test commands. Measure effectiveness by comparing work time, human review, and rework with existing methods. The period, cost, and scope of provision are determined after confirming the conditions of connection with the pilot.
GAADM pilot/application consultationPlease tell us the scope of work, human approval, build and testing criteria. Review the scope of connection with the existing development environment.
Please choose a situation that is close to our company.
Even if you don't have any data yet, you can tell us about your current situation. Information that is difficult to disclose may be reviewed as a sample with identifying information masked.