The Handoff Protocol - Revision history

Admin: Fix 2 internal link(s)

2026-03-16T16:28:13Z

Fix 2 internal link(s)

← Older revision		Revision as of 16:28, 16 March 2026
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	== 🧭 Why this matters (Strategists start here) ==		== 🧭 Why this matters (Strategists start here) ==

	In [[~~Exercises/Agent Collaboration/Ac Basic 01~~\|AC-Basic-01]], you simulated multiple perspectives in a single chat. Here, you're practicing a fundamentally different skill: '''managing separate agents with isolated contexts'''. This mirrors how real multi-agent systems work — each agent has a specific role, limited scope, and doesn't see the other's work. The human (you) acts as the orchestrator. This is the skill that scales: from two chats to entire AI-assisted workflows with specialized roles, handoff points, and quality gates.		In [[Your First AI Team Meeting\|AC-Basic-01]], you simulated multiple perspectives in a single chat. Here, you're practicing a fundamentally different skill: '''managing separate agents with isolated contexts'''. This mirrors how real multi-agent systems work — each agent has a specific role, limited scope, and doesn't see the other's work. The human (you) acts as the orchestrator. This is the skill that scales: from two chats to entire AI-assisted workflows with specialized roles, handoff points, and quality gates.

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	== ⬆️ Level up ==		== ⬆️ Level up ==

	Ready for more? Try [[~~Exercises/~~Agent ~~Collaboration/Ac Advanced 01~~\|AC-Advanced-01]] — where you'll design a complete multi-agent workflow with defined roles, handoffs, and feedback loops.		Ready for more? Try [[Design Your Agent Workflow\|AC-Advanced-01]] — where you'll design a complete multi-agent workflow with defined roles, handoffs, and feedback loops.

	Back to [[Agent Collaboration\|Agent Collaboration]]		Back to [[Agent Collaboration\|Agent Collaboration]]

Admin: Fix 1 internal link(s)

2026-03-16T16:23:11Z

Fix 1 internal link(s)

← Older revision		Revision as of 16:23, 16 March 2026
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	Ready for more? Try [[Exercises/Agent Collaboration/Ac Advanced 01\|AC-Advanced-01]] — where you'll design a complete multi-agent workflow with defined roles, handoffs, and feedback loops.		Ready for more? Try [[Exercises/Agent Collaboration/Ac Advanced 01\|AC-Advanced-01]] — where you'll design a complete multi-agent workflow with defined roles, handoffs, and feedback loops.

	Back to [[~~Pillars/~~Agent Collaboration\|Agent Collaboration]]		Back to [[Agent Collaboration\|Agent Collaboration]]

Admin: Imported from AI Fluency Playbook

2026-03-16T16:10:04Z

Imported from AI Fluency Playbook

New page

''Split a problem across two separate AI sessions with different roles, then synthesize their outputs. 25 minutes.''

<blockquote>
'''One-liner:''' Split a problem across two separate AI sessions with different roles and contexts, then synthesize their outputs yourself — like managing a real team.
</blockquote>

----

== 🔧 Jump in (Tinkerers start here) ==

You'll need two AI chat windows open at the same time (two browser tabs, or two different AI tools — either works).

'''Pick a project or decision''' that has at least two distinct dimensions. For example: "Create a content strategy for launching our new product."

'''Chat A — The Strategist.''' Open your first chat and send:

<blockquote>
You are a '''brand strategist''' with 15 years of experience. Your focus is positioning, audience targeting, and messaging clarity. You do NOT think about implementation details — that's someone else's job.

I'm working on: '''[your project]'''

Give me your strategic recommendations. Focus on: who the audience is, what the core message should be, and how to position this differently from competitors. Be specific and opinionated.
</blockquote>

'''Chat B — The Executor.''' Open your second chat and send:

<blockquote>
You are an '''operations-focused content producer'''. Your focus is practical execution: channels, formats, timelines, and resource requirements. You do NOT set strategy — you receive it and figure out how to make it real.

I'm working on: '''[your project]'''

Give me an execution plan. Focus on: which channels to prioritize, what content formats work best, a realistic timeline, and what resources I'll need. Be specific and practical.
</blockquote>

'''Now you're the manager.''' Read both outputs. Notice what Chat A assumed that Chat B would question, and vice versa. Then write your own synthesis:
* Where do these perspectives align?
* Where do they conflict?
* What did each one miss that the other caught?
* What's your actual plan, informed by both?

'''Optional bonus round:''' Take your synthesis and paste it back into one of the chats:

<blockquote>
Here's the combined strategy and execution plan I've built from two different advisors. Poke holes in it. What's still weak?
</blockquote>

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== 📋 Plan first (Planners start here) ==

Here's what you're about to do:
# '''Choose a project''' — Something real with both a strategic and practical dimension. Content launches, product decisions, event planning, and hiring processes all work well.
# '''Set up Chat A (Strategist)''' — Give it a clear strategic role with explicit boundaries. Tell it ''not'' to worry about implementation.
# '''Set up Chat B (Executor)''' — Give it a clear operational role with explicit boundaries. Tell it ''not'' to set strategy.
# '''Run both chats''' — Send the same project description to each, but with their respective role prompts.
# '''Synthesize manually''' — You are the integration point. Compare outputs, find gaps, resolve conflicts, and produce a combined plan.

'''"Done" looks like:''' You have a plan that neither AI session could have produced alone, and you can articulate what each perspective contributed.

----

== 🧭 Why this matters (Strategists start here) ==

In [[Exercises/Agent Collaboration/Ac Basic 01|AC-Basic-01]], you simulated multiple perspectives in a single chat. Here, you're practicing a fundamentally different skill: '''managing separate agents with isolated contexts'''. This mirrors how real multi-agent systems work — each agent has a specific role, limited scope, and doesn't see the other's work. The human (you) acts as the orchestrator. This is the skill that scales: from two chats to entire AI-assisted workflows with specialized roles, handoff points, and quality gates.

----

== Reflection ==
* How did the outputs differ when each AI had a constrained role vs. a single AI doing both? Was the split worth the extra effort?
* What context got lost in the handoff between sessions? How would you design a better transfer summary?
* Did the synthesis step feel harder or easier than you expected? What made it difficult?
* 💬 ''Run this exercise with two colleagues, each managing one AI session. Compare the experience of synthesizing someone else's AI output vs. your own — it highlights how much implicit context lives in your head.'' (Social Learners)

== ⬆️ Level up ==

Ready for more? Try [[Exercises/Agent Collaboration/Ac Advanced 01|AC-Advanced-01]] — where you'll design a complete multi-agent workflow with defined roles, handoffs, and feedback loops.

Back to [[Pillars/Agent Collaboration|Agent Collaboration]]

[[Category:AI Fluency Playbook]]
[[Category:Exercises]]
[[Category:Agent Collaboration Exercises]]