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The Handoff Protocol
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''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 β like managing a real team. </blockquote> ---- == π§ 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 β 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 β 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 β 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 β 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 β 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> ---- == π Plan first (Planners start here) == Here's what you're about to do: # '''Choose a project''' β 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)''' β Give it a clear strategic role with explicit boundaries. Tell it ''not'' to worry about implementation. # '''Set up Chat B (Executor)''' β Give it a clear operational role with explicit boundaries. Tell it ''not'' to set strategy. # '''Run both chats''' β Send the same project description to each, but with their respective role prompts. # '''Synthesize manually''' β 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. ---- == π§ Why this matters (Strategists start here) == 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 β 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? * π¬ ''Run this exercise with two colleagues, each managing one AI session. Compare the experience of synthesizing someone else's AI output vs. your own β it highlights how much implicit context lives in your head.'' (Social Learners) == β¬οΈ Level up == Ready for more? Try [[Design Your Agent Workflow|AC-Advanced-01]] β where you'll design a complete multi-agent workflow with defined roles, handoffs, and feedback loops. Back to [[Agent Collaboration|Agent Collaboration]] [[Category:AI Fluency Playbook]] [[Category:Exercises]] [[Category:Agent Collaboration Exercises]]
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