Master Domain 1: Agents and Workflows (14.7% exam weight) for the Anthropic Claude Certified Developer (Foundations) certification (CCDV-F).

This complete, production-grade 4K lesson covers all architectural, construction, and design pattern requirements outlined in Anthropic's official Exam Guide v1.0 and Anthropic Research's 'Building Effective Agents'.

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📑 CHAPTERS & TIMESTAMPS:
00:00 Domain 1: Agents & Workflows Overview
00:39 Workflows vs. Autonomous Agents
01:26 The Agent Control Loop (ReAct Pattern)
02:22 Define a Clear Tool Contract (JSON Schema)
03:11 The Client-Tool Round Trip (tool_use & tool_result)
04:15 Read the Stop Reason (end_turn, tool_use, max_tokens)
04:53 State, Memory & Context Compaction
05:51 Design for Failure (max_turns, Cycle Detection, Error Flags)
06:34 Prompt Chaining & Intent Routing
07:21 Parallelization (Sectioning & Voting)
08:07 Orchestrator–Workers Pattern
08:58 Evaluator–Optimizer Pattern (Generator-Critic)
09:47 Human Approval & Resumption (HITL)
10:42 Direct SDK vs. Frameworks (LangGraph, CrewAI)
11:26 Domain 1: Knowledge Check & Exam Review

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🎯 CORE EXAM OBJECTIVES COVERED:
1. Workflows vs. Agents: When to use deterministic directed acyclic graphs (DAGs) vs. dynamic model-driven control loops.
2. ReAct Pattern: Decide → Act → Observe → Decide again.
3. Anthropic Messages API: Handling role 'user' for tool_result, setting is_error: true, managing parallel tool calling.
4. Stop Reasons: Discerning between end_turn, tool_use, and max_tokens.
5. The 5 Core Anthropic Patterns: Prompt Chaining, Routing, Parallelization, Orchestrator-Workers, and Evaluator-Optimizer.
6. Guardrails: Hard limits (max_turns), cycle detection, and Human-in-the-Loop (HITL) authorization for irreversible operations.

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📚 OFFICIAL REFERENCES:
• Anthropic Research: Building Effective Agents
• Claude API Reference: Handling Tool Calls & Messages API
• CCDV-F Blueprint: Domain 1 (14.7% Weight)

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