AppDrag
Your AI agent integrates with AppDrag during customer conversations. AppDrag is a cloud-based platform for building websites, APIs, and databases with drag-and-drop tools and serverless backend functions. Your agent can execute Cloud Backend API functions across multiple environments, run Visual SQL operations, and manage database records - all through natural conversation.
Execute Cloud Backend functions, run Visual SQL queries, and coordinate across dev, preprod, and production environments through natural dialogue.
AppDrag
Real scenarios where AI executes serverless functions, queries databases, and coordinates deployments through conversation.
Customer asks about their account status. Your AI Agent executes a Cloud Backend function in AppDrag's production environment to retrieve customer data, processes the result, and returns account information instantly. No manual database queries or dashboard navigation required.
Developer asks to test a new API function before deployment. Your AI Agent triggers the function in the development environment with test parameters, captures the response, and reports whether the function behaves correctly. The developer validates functionality without leaving the chat.
Support agent needs to update a customer record. Your AI Agent runs a Visual SQL query against AppDrag to modify the relevant database fields. The agent confirms the update was successful and retrieves the modified record for verification.
AppDrag
FAQs
The agent can execute Cloud Backend functions in three AppDrag environments: development (appId-dev), pre-production (appId-preprod), and production (appId). Each environment has a dedicated action, allowing you to test safely before deploying changes to production.
The agent sends a JSON object with the function_input parameter containing your custom inputs. These values are available in your Cloud Backend function code. The inputFunction parameter specifies which function file to execute.
Yes. The Visual SQL action executes SQL queries against your AppDrag database. You can run SELECT queries to retrieve data, or INSERT, UPDATE, and DELETE statements to modify records. All queries use parameterized inputs for security.
Configure your AppDrag App ID and API Key in the Tars dashboard. The agent uses these credentials to authenticate API requests. Each environment (dev, preprod, production) uses the same App ID with different endpoint suffixes.
Yes. The agent can execute the same function across development, pre-production, and production environments in sequence. This enables conversational deployment workflows where you test, validate, and release through natural chat interaction.
The agent can trigger any Cloud Backend API function you have created in AppDrag. This includes serverless functions for data processing, third-party API integrations, database operations, and custom business logic - all executable with dynamic inputs during conversations.
AppDrag Cloud Backend functions follow standard serverless limits. The agent waits for function completion and returns the full response. For long-running operations, consider breaking them into smaller functions or using asynchronous patterns with callback notifications.
Yes. If a Cloud Backend function returns an error, the agent receives the error response and can communicate the issue during conversation. This enables troubleshooting and retry logic without exposing technical error details to end users inappropriately.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.
Privacy & Security
At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.
Email - sales@hellotars.com
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