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Learning roadmap

Production Agent Operations

Choose a goal, then follow each stage as an ordered, explained outline.

Learning goal

Learn deeply

Build a durable mental model, then transfer it into a working application.

Safe write foundations

Stage purpose: Establish the vocabulary and first working mental model.

Required background: Complete the linked prerequisites below or bring equivalent experience.

Expected outcome: Explain the core idea and use it in a small example.

Estimated time: 70 minutes

  1. Lesson · Estimated time: 35 minutes

    Safe Write Operations in Agentic Systems

    Outcomes
    • Explain why agent writes require stronger controls than reads
    • Design an idempotent write tool that returns an auditable receipt

    Prerequisites: No prerequisite topics

    Evidence: Practise the outcome in code and record what you learned.

    Current status: Not started

    Recommended next: Secure Financial Write Operations — Transfer the safe-write contract to a higher-consequence financial example and compare the additional controls.

  2. Lesson · Estimated time: 35 minutes

    Secure Financial Write Operations

    Outcomes
    • Calibrate write controls to irreversibility and blast radius
    • Diagnose duplicate financial actions and missing tool receipts

    Prerequisites: Safe Write Operations in Agentic Systems

    Evidence: Practise the outcome in code and record what you learned.

    Current status: Not started

    Recommended next: Human in the Loop for Agentic Write Operations — Add a human decision boundary before the write so high-risk actions cannot execute autonomously.

Human control

Stage purpose: Connect the concepts into a repeatable problem-solving model.

Required background: Complete the linked prerequisites below or bring equivalent experience.

Expected outcome: Apply the model to a representative exercise without copying a recipe.

Estimated time: 35 minutes

  1. Lesson · Estimated time: 35 minutes

    Human in the Loop for Agentic Write Operations

    Outcomes
    • Place a human gate at the correct write decision boundary
    • Implement and diagnose checkpointed approve, edit, and deny flows

    Prerequisites: Secure Financial Write Operations

    Evidence: Practise the outcome in code and record what you learned.

    Current status: Not started

    Recommended next: Persistent Agents & Context Management — Follow suspended execution into persistent history, rewind, and recovery across long-running agent threads.

Recovery and defense

Stage purpose: Transfer the concepts into a realistic implementation task.

Required background: Complete the linked prerequisites below or bring equivalent experience.

Expected outcome: Produce a small artifact that proves the decision works.

Estimated time: 75 minutes

  1. Lesson · Estimated time: 40 minutes

    Persistent Agents & Context Management

    Outcomes
    • Use checkpoint history to rewind, branch, and resume an agent
    • Choose a bounded context policy for persistent threads

    Prerequisites: Human in the Loop for Agentic Write Operations

    Evidence: Practise the outcome in code and record what you learned.

    Current status: Not started

    Recommended next: Securing Agentic AI Systems — Complete the production boundary with ingress and egress defenses against adversarial instructions and sensitive data leakage.

  2. Lesson · Estimated time: 35 minutes

    Securing Agentic AI Systems

    Outcomes
    • Distinguish direct and indirect prompt injection
    • Design ingress and egress guardrails for PII and domain enforcement

    Prerequisites: Persistent Agents & Context Management

    Evidence: Practise the outcome in code and record what you learned.

    Current status: Not started

    Recommended next: Complete this path by applying these outcomes in your own project.