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MasarUX
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axd-i03MasarUX ProIntermediate

Multi-Agent Collaboration and Handoff Design

Learn to design how multiple distinct AI agents work together — arguing against unnecessary multi-agent complexity by default, defining role boundaries and responsibility, designing the mechanics of agent-to-agent handoff and context transfer, making agent actions attributable and transparent, and handling disagreement and duplicate action. Multi-agent coordination is a genuinely young, fast-evolving practice area in 2026: this Course's specific patterns are taught as a current, dated professional snapshot that deserves at least an annual evidence review, never as permanent doctrine.

20 hours (approximately)3 Levels · 30 Lessons
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By the end of this Course, you can judge whether multiple agents are genuinely justified for a workflow, design testable role boundaries and responsibility allocation, design a complete handoff with attribution and transparency, and handle agent disagreement and duplicate-action risk using current, evidence-reviewed 2026 coordination patterns.

01Argue against multi-agent complexity by default, and recognize the specific, evidenced signals that genuinely justify more than one agent
02Define testable role boundaries and allocate outcome responsibility across agents, with a named accountable human owner
03Design the handoff trigger, the context that transfers, and the context that is deliberately withheld
04Design handoff acknowledgment and diagnose the recurring ways handoffs fail
05Design attribution so a reviewer can reconstruct which agent did what, including across long multi-hop chains
06Design transparency of live multi-agent state for reviewers, and a legible, non-opaque experience for end users
07Surface and resolve agent disagreement, and prevent duplicate consequential actions across agents
08Apply the supervisor, pipeline, and parallel-with-merge coordination patterns as current, dated 2026 conventions — and choose among them based on a workflow's actual dependency structure
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Curriculum

3 Levels · 30 Lessons

Assessment

Each Lesson may include a Quiz

Each Level may include an Exam

Completion requirements

Complete the available Lessons

Pass all configured Quizzes and Exams

Locked activities open only after their prerequisites are met

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Course Skills7 Course Skills
Agent Role Boundary Definition
Agent-to-Agent Handoff Design
Attribution and Transparency Design
Context Transfer and Withholding Design
Multi-Agent Conflict and Duplication Prevention
Multi-Agent Justification Judgment
Responsibility Allocation Design
Related Competency Domains
Professional Practice
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Career Path relationship
Agentic Experience Designer

Completed Course progress automatically counts toward the Career Path when this Course belongs to a Mission.

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What You'll Gain
  • Builds one practiced multi-agent coordination judgment across 30 bilingual Lessons
  • Teaches the discipline of arguing against multi-agent complexity before designing with it
  • Repeatedly frames 2026 multi-agent patterns as current and evolving, never as permanent law, with an explicit annual-review requirement
  • Uses scenario-based assessments to rehearse the real judgment calls of a working Agentic Experience Designer's coordination practice
Who Is This Course For?
  • Agentic Experience Designers moving from single-agent oversight into systems with multiple distinct, coordinating agents
  • UX/Product Designers evaluating whether a workflow genuinely needs more than one agent before scoping the build
  • Designers responsible for a formal Career Path project requiring a meaningful multi-agent handoff treatment
  • Anyone who needs to design how a multi-agent system's state, decisions, and disagreements are made visible to a reviewer or an end user
Course Features
  • 3 progressive Levels and 30 substantive bilingual Lessons
  • 30 Lesson Quizzes with 10 scenario-based questions each
  • 3 Level Exams with 15 transfer questions each
  • Direct preparation for the Formal Project requiring a meaningful multi-agent handoff treatment
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Course Completion Certificate

Awarded after the Course's configured completion requirements are met.