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Designing Intent-Driven Systems: Agents, Tools, and Control

7 chapters · 34 lessons

1. 1. Intent Interpretation and Goal Decomposition

   4 lessons

   Learn how to parse user intent, extract actionable goals, and decompose complex requests into executable subtasks.

2. 2. Context Retrieval and Semantic Search

   5 lessons

   Build systems that gather relevant context from documents, databases, and APIs to inform agent decisions.

3. 3. Tool Selection and Action Planning

   5 lessons

   Design the decision logic that chooses appropriate tools and sequences actions to accomplish user goals.

4. 4. Action Execution and State Management

   5 lessons

   Implement reliable action execution with error handling, retries, and state tracking across distributed systems.

5. 5. Permission Models and Security Boundaries

   5 lessons

   Build authorization systems that scope agent capabilities and prevent unauthorized or harmful actions.

6. 6. Human-in-the-Loop and Control Mechanisms

   5 lessons

   Design intervention points, confidence thresholds, and handoff patterns that keep humans in control of critical decisions.

7. 7. Observability, Audit, and Continuous Improvement

   5 lessons

   Implement logging, monitoring, and feedback loops to track agent behavior and improve system reliability over time.