Start by describing the internal workflow you want to automate or augment. Grok helps you architect the integration — choosing the right API endpoints, structuring system prompts, defining tool-calling schemas, and setting up the data flow between Grok and your existing systems.
Example prompt
I want to build an internal support tool where our CS team can paste a customer ticket and get: a suggested response, the relevant help article, the customer's account context pulled from Salesforce, and a severity classification. Design the API integration for this.
Build a working prototype using the Grok API with your actual data. Test it against real tickets, real documents, or real queries to validate accuracy and latency before investing in production infrastructure. Grok can generate the integration code itself.
Example prompt
Generate a Python script that takes a support ticket as input, calls the Grok API with our system prompt and Salesforce tool, and returns the structured response. Use function calling for the Salesforce lookup. Include error handling and retry logic.
Once the prototype validates, deploy it as a production service. Grok helps you add observability — logging prompts and responses, tracking accuracy metrics, and identifying cases where the model needs better instructions or additional context.
Example prompt
The prototype is working well on 90% of tickets, but it struggles with multi-issue tickets and billing disputes. Help me refine the system prompt to handle compound issues and add a billing-specific tool call that pulls invoice data from Stripe.