Illustrated overview of customer-data and SQL workflows, not a product screenshot.
CLIENT WORK
Business questions connected to customer records.
GPT instructions and integration requirements for a customer-data assistant using SQL queries, validation, record matching and human review of uncertain matches.
Ask in business terms. Work with structured records.
Digital Starr needed a GPT-based assistant that could connect business questions with SQL queries against customer master data. Validation and uncertain record matches were part of the surrounding workflow.
Task instructions
Instructions defining the assistant's behavior when working with customer records.
Database context
Database examples and API integration requirements for the development team.
Validation and matching
Data-processing guidance and checks around possible record matches.
Human review
Unclear matches passed through a human review step.
Bruce Meek's contribution.
Bruce combined prompt engineering and project coordination. His work covered task instructions, database examples, API and database integration requirements, validation and a data-processing guide. He worked with the development team to connect assistant responses with the surrounding data and application workflow.
The assistant and the data workflow were designed together.
The project connected questions, queries, record matching and review. Bruce's contribution covered the assistant's instructions and workflow requirements alongside development coordination.
Have a workflow that needs useful AI?
Bring the users, the task and the information it depends on. We can work out a practical place to start.
