Convert natural language business intent into an approvable, auditable, and replayable API execution plan
After the user proposes a business goal in natural language, the system parses the request into a structured API call plan, verifies permissions and risks, enters manual confirmation when necessary, and then only executes or exports execution records when security conditions are met, and clearly returns success, failure, or pending approval status.
- 01Capability modelingImport or enter the API capabilities of the target application and split them into schedulable atomic capabilities.
- 02intention planThe user makes a natural language request, and the system generates a structured execution plan or clarifies the cause of the failure.
- 03Approval controlPerform manual validation of high-risk, production environment or data modification plans.
- 04Execution and AuditExecute or sandbox replay plans within authorization scope, logging every API call and final status.
execution plan
Results, sources, failures, approvals, and rollbacks are saved by project.
No business results yet
API capabilities have not been imported yet. Please upload the interface description file or supplement the capability description before generating it.
Data use boundary
Projects may contain interface definitions, parameter structures, role permission mappings, business request original texts, and API call parameters. This information may expose internal system capabilities, customer identities, or business-sensitive data. Do not upload irrelevant personal privacy keys, production access tokens, or unmasked customer data; if production credentials must be used, they should be configured through controlled keys rather than written into text fields. Current 10 role review additions: raw_request, clarification answers, plan parameters, API requests/responses/errors, approval/rejection reasons, permission mappings, uploaded files, audit logs, export reports, and rollback snapshots are all potentially sensitive data. ;Default desensitization of customer ID, amount, permission keys, internal interface details, credentials, tokens, request parameters and response body; role permissions are required for complete viewing. ;Model context must not contain keys, production tokens, unmasked credentials, or unnecessary full audit logs. ;External API credentials and model keys may only be managed in a server-side controlled key store or environment variable and may not be written to the frontend, normal text fields, Markdown exports, or logs. ; Retention and deletion policies must cover records, runs, approvals, audit events, rollback snapshots, uploaded files, parsing results, and export reports, and describe audit retention exceptions.
Data retention
Intent tasks, execution plans, approval orders, and audit logs are retained for 180 days by default to meet tracking and troubleshooting needs; users can manually delete unexecuted plan records in the project. API descriptions with files enter a 30-day soft deletion period after project deletion, after which they are permanently deleted.
Human responsibility and rollback
This product may handle operations such as refunds, cancellation of subscriptions, inventory adjustments, changes in customer information, etc. that may affect funds, customer status, or business data. Plans generated by AI must undergo permission verification; high-risk or production environment data modifications must be manually confirmed. The system must explicitly fail or stop when it cannot be parsed, has insufficient permissions, fails the interface, or is missing approval, and must not return success.
Rollback only refers to revoking the task status, execution plan, approval order or report display status in this site, or marking a certain plan as withdrawn in the audit; unless the user has configured and authorized the corresponding compensation API, this product will not claim to have rolled back funds, inventory, subscriptions or customer data in the external production system.