A schema for the real workflow
Turn spreadsheet columns, handoffs and statuses into relational records with clear ownership.
オペレーションとサポートチーム向け
表計算から、本当に必要な社内ツールへ
ユーザーとワークフローを説明すると、Markyが実データを扱える編集可能なフルスタックプロジェクトに変換し、本番公開まで支援します。
簡潔な回答
AI社内ツールビルダーとは？
AI社内ツールビルダーは文章の要件を編集可能なWebアプリに変換します。MarkyはUI、バックエンド、データベース、認証、デプロイ設定を1つのプロジェクトに構築できます。
実際の業務に合わせて構築
Markyが実装できること
These are functional product layers tied to the workflow—not decorative sections copied from a template.
Practical CRUD interfaces
Create, review, update and archive records through forms, tables, filters and focused detail views.
Role-aware workspaces
Design different views and actions for operators, managers, reviewers or external participants.
Reports grounded in source data
Summarize operational records with real queries instead of decorative dashboard metrics.
Secure service connections
Use secrets for APIs such as email, SMS, AI, payments or cloud services without exposing keys in the client.
Versioned, portable code
Preview each change, roll back checkpoints, publish to Cloud Run and sync the repository to GitHub.
推奨データモデル
初期版に必要なデータ
- Records
- The orders, cases, assets or requests being managed
- States
- Workflow status, transitions and validation rules
- Assignments
- Owners, teams, queues and due dates
- Activity log
- Changes, comments, imports and integration events
プロンプト例
抽象語ではなく具体的な要件を伝える
“Build an inventory operations tool for a specialty retailer. Track items, warehouses, suppliers, stock movements and purchase orders. Add low-stock filters, receive-order actions, manager and operator views, CSV import, an audit trail and practical empty/error states.”これを出発点にする
実践的な構築手順
Markyでの構築方法
- 01
Start with the current process
Describe the spreadsheet, inbox or manual handoff and the failure it creates for the team.
- 02
Model records and state changes
Marky converts fields, permissions and transitions into a Postgres schema and typed APIs.
- 03
Test with realistic edge cases
Check empty states, invalid transitions, duplicate records, long values and integration failures.
- 04
Roll out deliberately
Approve the preview, publish it, add secrets and keep a checkpoint before every larger workflow change.
共通の本番スタック
標準コードと管理された公開フロー
React + TypeScript
An editable frontend, not a proprietary page format.
Postgres + typed APIs
Persistent records and protected server-side logic.
Accounts + secrets
Authentication and protected credentials for integrations.
Built-in publishing targets Google Cloud Run. AWS services can be integrated through protected credentials, and the GitHub codebase can be adapted for an AWS deployment by a developer.
個別の質問
社内ツール FAQ
Can Marky replace a spreadsheet workflow?
Often, yes—when the spreadsheet represents structured records and repeatable actions. Marky can model those records in Postgres and build validated forms, tables, filters and status changes. The original process still needs to be described accurately before it is automated.
Can an internal tool connect to our existing services?
Marky can integrate services that expose suitable APIs, webhooks or database connections. Credentials belong in project secrets, and each integration should include failure handling, permission boundaries and a clear source of truth.
Can different team roles have different actions?
Yes. Define the roles and allowed transitions in the brief so Marky can enforce them in server-side actions as well as in the interface. Hiding a button alone is not a sufficient permission control.
How do we recover if a change breaks the tool?
Successful previews create version checkpoints, and Marky can also save named checkpoints before risky changes. The project can be rolled back to an earlier working version; eligible published versions can also be restored to the live site.
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