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Building Domain-Specific AI Products for Professional Workflows

7 chapters · 31 lessons

1. 1. Mapping Professional Workflows for AI Integration

   4 lessons

   Learn to analyze work processes to identify where AI adds value versus friction.

2. 2. Domain Artifacts and Workflow Context

   5 lessons

   Design systems that understand the materials, constraints, and success criteria of specific jobs.

3. 3. Task-Specific Controls and Quality Gates

   4 lessons

   Create guardrails that prevent domain-specific failures and maintain professional standards.

4. 4. Grounding Models in Domain Knowledge

   5 lessons

   Connect AI systems to authoritative sources and specialized knowledge bases.

5. 5. Embedding AI into Existing Tools

   4 lessons

   Integrate intelligence where professionals already work instead of creating separate destinations.

6. 6. Measuring Success in Professional Contexts

   5 lessons

   Define metrics that reflect real work outcomes, not just model performance.

7. 7. Building Feedback Loops for Continuous Improvement

   4 lessons

   Create systems that learn from professional corrections and domain evolution.