01 The Agentic Lifecycle Model

Welcome

What You'll Learn

The complete lifecycle of agentic interactions:

Intent → Discovery → Evaluation → Commit → Fulfilment → Support

Key concepts:

• AI capability ≠ AI permission (just because AI CAN do something doesn't mean it SHOULD)
• Where AI is allowed to act vs assist
• Why the commit phase is special (risk, liability, accessibility)
• Why most companies stop AI before commit (and why that's smart)
• Why this course goes inside commit carefully (because that's where accountability matters)

Critical insight: Risk increases dramatically at commit. What changes:

• Discovery/Evaluation: Information gathering (LOW risk)
• Commit: Money moves, data changes, legal liability (HIGH risk)
• Fulfilment/Support: Execution and maintenance (MEDIUM risk)

Deliverable: One-page lifecycle diagram (your signature visual)

This becomes:

• The first page students read
• A one-page PDF reference
• Your signature diagram (brand identity)
• The anchor for understanding all patterns

Title

Designers

Who need to understand the architecture behind agents in order to design UI, flows, transparency, consent, and error recovery.

Product Managers

Who need to make high-level decisions about agent responsibilities, tool delegation, and pattern selection.

Founders

Who want to avoid building brittle, unpredictable agent systems that break under real use.

Engineers

Who want a human-centered layer on top of standard multi-agent orchestration patterns.

UX Researchers / Strategists

Who want frameworks for evaluating multi-agent behavior and identifying hidden failures.

If you’re working with agents, planning agents, tool chains, workflows, RAG, or LLM-based products — this toolkit is for you.

Title

1. Start with the Foundations (Part I)

Part I gives you the mental models you need:

• what agents are

• how they communicate

• what roles they play

• how context flows

• how visibility works

• how to think about human vs. agent responsibilities

This section takes you from “I’ve heard of multi-agent systems” to
“I understand how the pieces fit together.”

2. Study the 20 Orchestration Patterns (Part II)

This is the heart of the toolkit.

For each pattern, you’ll learn:

• When to use it

• When NOT to use it

• What the user should see

• How many agents are involved

• What can go wrong

• Real-world examples

• Best-practice diagrams

• Accessibility considerations

You’ll use this section constantly in real projects.

3. Review Failure Modes (Part III)

Multi-agent systems fail in very predictable ways:

• collisions

• contradicting actions

• lost state

• overflow reasoning

• tool loops

• unbounded delegation

• memory corruption

This part shows you how to detect them and design protections.

4. Apply Human-Centered Design Rules (Part IV)

This is where you prevent the system from becoming a black box:

• transparency

• predictability

• reversibility

• human control

• accessibility

• escalation

• explanation patterns

This is where your expertise is unique — and where your customers will get the most clarity.

5. Use the Templates (Part V)

These are your working tools:

• pattern picker

• orchestration decision tree

• role definition sheet

• tool inventory

• intervention map

• frontstage/backstage map

• observability template

These templates turn the theory into real decisions for real products.

6. Study the Example Architectures (Part VI)

You get 5 example multi-agent systems already designed:

• e-commerce

• travel

• support

• automation assistant

• learning tutor

These help you see “the whole system” in action — and serve as real-world references when designing your own.

7. Test Your System (Part VII)

A dedicated section for testing:

• orchestration stress tests

• memory drift tests

• coordination accuracy

• safety failure tests

• hidden state tests

• tool chain failure tests

These come from engineering & UX research combined.

8. Explore the Future (Optional Bonus)

A forward-looking section on:

• agentic commerce

• machine customers

• autonomous transaction loops

• where multi-agent UX is moving

This gives your customers perspective and authority.

Title

• 15 minutes to scan a pattern

• 1 hour to pick the right orchestration pattern for a feature

• 2–3 hours to design a multi-agent flow with templates

• One afternoon to test & validate coordination

This toolkit is designed to save weeks of confusion and architecture mistakes.