Nov. 14, 2025

Stop Dragging Planner Tasks: Automate NOW

Stop Dragging Planner Tasks: Automate NOW

Still dragging cards around in Microsoft Planner like it’s 2015? In this episode, I show you how to stop babysitting boards and start speaking tasks into existence with a “Task Planner” Copilot agent.

You’ll learn how Planner, Copilot Studio, and Power Automate actually fit together: Planner keeps the board tidy, Copilot reasons over your requests, and Power Automate quietly runs the rules in the background.

Step by step, we build an agent in Copilot Studio with tight instructions and locked-in Group/Plan IDs so it can safely create, list, and update Planner tasks from natural language — including “tomorrow”, “next Friday”, or “set everything to Friday”.

Then we push it into Microsoft 365 Copilot and Teams so you can say things like “Create three tasks for next week’s sprint” or “List my open tasks, then set them all to Friday” without touching a single card.

We wrap with the unsexy parts that actually matter: governance, DLP, connector ownership, context limits, and how to stop your shiny new agent from dying mid-sprint.

If you’re ready to trade 14 clicks and endless drag-and-drop for one clear sentence, this is your upgrade.

🔍 Key Topics Covered 1) Understanding the Planner–Copilot Connection

  • Planner = structure and boards; you shouldn’t be the workflow engine.
  • Copilot Studio adds reasoning + orchestration (intent → right tool).
  • Power Automate is still your backend conveyor belt for triggers/rules.
  • Together: Copilot interprets, Automate executes, Planner stays tidy.

2) Building the Agent in Copilot Studio

  • Create a new agent (e.g., “Task Planner”).
  • Write tight Instructions: scope = create/list/update Planner tasks; answer concisely; don’t speculate.
  • Wire identity & connections with the right M365 account (owns the target plan).
  • Remember: Instructions = logic/behavior, Tools = capability.

3) Adding Planner Tools: Create, List, Update

  • Create a task: lock Group ID/Plan ID as custom values; keep Title dynamic.
    • Tool description tip: “Create one or more tasks from user intent; summarize long titles; don’t ask for titles if implied.”
  • List tasks: same Group/Plan; description: “Retrieve tasks for reasoning and response.”
  • Update a task: dynamic Task ID, Due date accepts natural language (“tomorrow”, “next Friday”).
    • Description: “Change due dates/details of an existing task using natural language dates.”
  • Test flows: “List my open tasks,” “Create two tasks…,” “Set design review due Friday.”

4) Deploying to Microsoft 365 Copilot

  • Publish → Channels → Microsoft 365/Teams; approve permissions.
  • Use in Teams or M365 Copilot: “Create three tasks for next week’s sprint,” “Mark backlog review due next Wednesday.”
  • Chain reasoning: “List pending tasks, then set all to Friday.”
  • First-run connector approvals may re-prompt; approve once.

5) Automation Strategy & Limitations

  • Right tool, right layer: deterministic triggers → Power Automate; interpretive requests → Copilot.
  • Improve reliability with good tool descriptions (they act like prompts).
  • Governance: DLP, RBAC, owner accounts, audit of connections; monitor failures/latency.
  • Context window limits—keep commands concise.
  • Licensing/tenant differences can affect grounding/features.
  • Document Group/Plan IDs, connector owners, last publish date.

🧠 Key Takeaways

  • Stop dragging cards—speak tasks into existence.
  • Copilot Studio reasons; Planner stores; Power Automate runs rules.
  • Lock Group/Plan IDs; keep titles/dates dynamic; write clear tool descriptions.
  • Publish to Microsoft 365 Copilot so commands run where you work.
  • Govern from day one: least privilege, logging, DLP, change control.

✅ Implementation Checklist (Copy/Paste)

  • Create Copilot Studio agent “Task Planner” with clear scope & tone.
  • Connect Planner with the account that owns the target Group/Plan.
  • Add tools: Create task, List tasks, Update task.
  • Set Group ID/Plan ID as custom fixed values; keep Title/Due Date dynamic.
  • Write strong tool descriptions (intent cues, natural language dates).
  • Test: create → list → update flows; confirm due-date parsing.
  • Publish to Microsoft 365/Teams; approve connector permissions.
  • Monitor analytics; document IDs/owners; enforce DLP/RBAC.
  • Train users to issue short, clear commands (one intent at a time).
  • Iterate descriptions as you spot misfires.

🎧 Listen & Subscribe If this cut ten clicks from your day, follow the show and turn on notifications. Next up: blending Copilot Studio + Power Automate for meeting-to-tasks pipelines that auto-assign and schedule sprints—no dragging required.



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Transcript

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You still drag tasks around in Microsoft Planner, fascinating.

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Watching you click, type, and drag boxes one by one

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is like observing someone manually address envelopes in the age of email.

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It's digital busy work disguised as productivity.

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Planner is supposed to manage your projects,

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not become another task itself.

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Enter Copilot Studio,

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the part of Microsoft's power platform

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that lets you build AI agents capable of reasoning over your requests.

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Tell it create three tasks for next week,

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and it doesn't just not politely it goes and creates them.

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It can list, update, and even prioritize

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without you lifting another digital finger.

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By the end of this video,

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you'll build your own planner agent from scratch.

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No magic, just logic,

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will cover how to build the agent connected to Planner,

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teach it to reason,

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and test it inside Microsoft 365 Copilot.

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You handle clarity, it handles the work.

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Understanding the Planner Copilot connection.

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Microsoft Planner is your task board,

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cards, lists, deadlines, the illusion of order,

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but order maintained by manual effort is still chaos,

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just neatly alphabetized.

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Planner was never meant to scale human labor,

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it was meant to structure it.

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The problem is you keep becoming the bottleneck,

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each due date, each drag and drop

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relies on you clicking like a mechanical pigeon.

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Copilot Studio fixes that,

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not by giving you more buttons to press,

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but by eliminating the need for pressing them at all.

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It's the conversational layer

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that turns human language into automated action.

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You ask, add a task for testing the prototype,

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and the agent understands context,

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which project, which plan,

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and how it fits into the board,

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compared that to Power Automate,

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which handles the backend logic,

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the invisible plumbing of event-driven workflows.

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Power Automate waits for triggers, runs flows, follows rules.

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Copilot Studio, however, listens, it reasons.

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It decides when to call, which connector?

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Think of Power Automate as the warehouse conveyor belt.

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Copilot Studio is the foreman who tells it when to start moving.

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The two are complimentary species

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in Microsoft's automation ecosystem.

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Power Automate executes rules.

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Copilot Studio interprets intention.

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Together, they are the difference

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between a rigid macro and a responsive assistant.

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Under the hood,

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Copilot Studio uses what Microsoft charmingly calls orchestration.

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It's not random magic, it's an LLM,

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a large language model,

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choosing the right tool based on the context of your instruction.

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Tools are connectors, planner, outlook, sharepoint.

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When you give a command,

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the model passes your request,

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consults the descriptions of available tools,

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and selects the one most aligned with your intent.

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For instance, you say,

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list my open tasks for the design project.

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The model identifies this as needing the list tasks tool in planner,

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fills in the parameters like the plan ID and executes.

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You get your answer, not because it guessed,

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but because you trained it to know when each tool is relevant.

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Now, picture your current workflow.

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You open planner manually, read each task, update due dates,

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switch tabs, maybe forget one, then repeat.

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It's structured inefficiency, consistent but wasteful.

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With Copilot Studio,

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that mental friction shifts from your brain

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to the model's reasoning engine.

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It remembers context, recognizes patterns,

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and moves data exactly where it belongs.

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Here's a metaphor to tattoo onto your productivity cortex.

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Planner is the filing cabinet.

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Copilot Studio is the intern who actually files things for you

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without salary, attitude, or the need for coffee breaks.

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Once configured, your new digital clock understands natural instructions

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like create tasks for next week's sprint

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or update the status of tasks due today.

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When you speak, it organizes the orchestration layer ensures

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that your instructions don't just get processed,

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they get interpreted.

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And that's the vital distinction.

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Automation without reasoning is dumb speed.

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Automation with reasoning becomes adaptive intelligence.

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Most people approach automation backward.

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They start with tools, then wonder why the workflow still feels robotic.

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The correct order is reasoning first, tools second.

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Teach the agent why a task exists

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before teaching it how to perform it.

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Once you get that mental hierarchy correct,

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you stop writing scripts and start designing behavior.

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Now that you understand the architecture,

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the relationship between your planner, your power,

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automate flows and your conversational front end,

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it's time to go hands on.

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We're about to build your first co-pilot studio agent

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define its personality, constrain its impulses

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and make it perform the work your human brain has been wasting time on.

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Prepare to trade drag and drop for create and go,

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building the agent in co-pilot studio, open co-pilot studio.

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Do not blink, do not wander off,

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and please resist the urge to click around aimlessly

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like the average user discovering a new button

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when we are going to do something deliberate.

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Click new agent, give it a sensible name, task planner,

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not planner, but 300, not AI thingy.

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The agent's name determines how easily you can find it later

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and you will forget what you called it.

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Now, before you start imagining a sentient office assistant,

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remember this is an AI clerk, not a psychic.

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It needs to be told who it is, what it can do

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and more importantly what it cannot do.

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That's where instructions come in.

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Think of them as the agent's operating philosophy,

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like azimov's laws, but less literary and more bureaucratic.

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You define the scope of reasoning,

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creating listing, updating planner tasks

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and nothing beyond that.

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The instruction editor allows paragraphs of guidance

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on tone, goals and boundaries, be clear.

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You are a planner assistant that can create tasks,

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list tasks and set due dates using planner tools.

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Answer concisely, never speculate.

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The clarity here translates directly

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into better orchestration later

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and Biguity confuses language models

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the way vague meeting invites confused humans.

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Once that's written, you'll see the test pane

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on the right, a cheerful looking sandbox begging

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for attention, ignore it.

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I know clicking test feels like progress,

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but right now the agent has nothing to test.

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It's like turning on a vacuum cleaner with no electricity.

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The model can parod scripts,

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but it can't perform actions yet because it's missing tools,

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the functional muscles behind its charming conversational skeleton.

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This gets us to the philosophical heart of Copilot Studio.

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Instructions versus tools, instructions are logic,

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tools are execution.

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Instructions tell it what kind of agent it is,

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tools tell it how to do what it claims to do.

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One defines character, the other provides capability.

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Plenty of people never make this distinction

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and then complain that Copilot didn't do what I said.

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It didn't because they never connected the tools

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that make obedience possible.

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Now open the tool panel, you'll see a library of connectors,

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planner, outlook, teams, SharePoint, and countless others.

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Microsoft's universe of integration spread before you

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like a buffet and yet most users freeze at the side of it.

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The paradox of infinite choice, that's where most people stall.

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As I like to say, Microsoft gives you a toolbox,

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most people just stare at it.

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We however will not.

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We will filter by planner and select the appropriate actions

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later, but first notice what's possible.

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Each connector represents an API endpoint

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wrapped in plain English.

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Create a task, update a record, send an email.

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Copilot Studio delegates these capabilities

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to your agent's reasoning layer.

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The model doesn't have mystical powers.

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It's just a well-trained librarian pulling

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the right book from the right shelf.

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Before adding any planner tools, review the configuration

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settings.

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Connections require authenticated accounts

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usually tied to your Microsoft 365 identity.

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Use the account that owns or manages the plan you'll automate.

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Otherwise, your future testing session

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will collapse with an authentication error that

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will make you question your life choices.

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Configurations are stored per agent.

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That means if you want multiple agents, say one for planner,

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one for teams, you'll need to authorize each separately.

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Microsoft calls this security.

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I call it a mild obstacle to efficiency.

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Regardless, do it properly now to save yourself later

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English.

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Once the agent's identity and instructions are locked in,

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it officially exists within your tenant.

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Congratulations.

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You've just built an empty but highly self-aware shell.

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It knows it's supposed to manage planner tasks,

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but without connectivity, it's like an intern

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without network access, well-dressed but useless.

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This is where restraint matters.

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Many people rush straight into debugging.

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Don't.

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Your goal is understanding architecture before function.

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We've defined personality, boundaries, and structure.

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Next, we need to give it arms and legs.

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That comes through adding tools, specifically planner actions

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that actually generate results instead of polite responses.

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The upcoming stages will connect three essential tools,

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create a task, list tasks, and update task.

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Each of these performs an API level interaction

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with Microsoft planner, but through natural language reasoning,

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rather than predetermined triggers.

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When this wiring is complete, your task planner agent

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won't just answer, it will act.

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So for now, save your work.

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Let it think about its identity for a moment,

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but what you've built is the skeleton, the nervous system,

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and just a hint of personality.

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Next, we graft on functionality, muscles

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to make this polite philosopher useful.

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Once those planner tools are connected,

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your agent stops pretending and starts performing.

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You've built the mind.

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Next, we build the motion.

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Adding planner tools create, list, update.

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Now it's time to make this agent something

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more than polite existential vapor.

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We're about to install the planner tools.

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The verbs that let your task planner actually do things.

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These are the three crucial muscles.

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Create task, list tasks, and update task.

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Once connected, your agent will transform

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from philosophical chatbot to operational assistant.

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Let's start with create a task.

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This is the atomic act of productivity,

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producing a unit of work.

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Without it, your agent can only comment on your laziness,

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not fix it.

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So in the tools panel, search for planner.

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You'll see a list of actions, select create a task,

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add it to your agent, it may ask to create a connection,

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approve it, using the account that owns your desired group

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and plan in planner.

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Three parameters appear, group ID, plan ID, and title.

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These are the coordinates of every task in planner,

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the who, the where, and the what.

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By default, the agent tries to fill them dynamically using AI,

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but that's not always wise.

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Group and plan ID's rarely change,

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and the agent has no psychic sense of your organizational structure.

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Switch those two to custom values,

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select your correct Microsoft 365 group, then the plan under it.

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That locks the map coordinates, so your agent creates tasks

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where you intend, not in the existential void

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of your test environment.

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Leave the title dynamic.

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That's what you want the AI to handle from natural language.

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But don't overlook the field-label description.

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It looks trivial yet plays a major part

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in how the language model reasons.

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The model reads these descriptions

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when deciding which tool fits a user's request.

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Create a new task in planner is technically fine,

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but painfully generic.

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You can help the reasoning engine by feeding it a richer queue.

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Create one or more planner tasks based on the user's request.

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Summarize long titles and do not ask for titles explicitly.

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That single sentence stops the agent from pestering you

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for clarification every time you ask for multiple tasks.

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Now it can infer titles directly from the request text.

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So if you say create three tasks, one to review designs,

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one to update pricing and one to prepare the demo,

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the model will pass those distinct items

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and run the create task action three times, no further prompting.

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At this stage, your agent's philosophical skeleton

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now has its first working limb.

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Congratulations, it can generate work faster than most interns.

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Next up, list tasks.

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You think this one is obvious yet it's the unsung hero

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of context management.

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Without the ability to list existing tasks,

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the model operates blind.

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It can't check what's already done or pending.

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Add the list tasks action from your planner connector.

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Configure it with the same group and plan IDs you said before,

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both as custom values.

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The description might say list the tasks in the plan,

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which works, but we can again improve it.

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Try retrieve all tasks from the specified planner plan

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so the agent can reference or validate them in responses.

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This phrasing signals that the action isn't just for human viewing.

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It's also contextual data for reasoning.

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Now open the test pane, but this time testing is worth it.

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Ask what tasks do I have in my plan?

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The model will call list tasks, fetch results

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and return them conversationally,

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something like you currently have tasks titled x, y and z.

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The beauty lies behind the curtain.

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Those results can now feed future requests.

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When you later say update the design review task

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to be due tomorrow, the orchestration model

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looks back at the list, identifies the right ID

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and calls the next tool will attach.

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That brings us to the third limb, update task.

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The function that turns static records into dynamic progress

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at the update a task tool to your agent.

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You'll again see fields task ID due date

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and a menu of optional parameters task ID

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should remain dynamic.

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The AI will match the correct one by name

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from the previous list action for due date.

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You can leave it as dynamic to since humans rarely pronounce dates

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in ISO 8601 format and casual speech.

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Thankfully, the underlying model converts tomorrow

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into a properly formatted timestamp,

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but give the model a description hint.

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It's a pity how many agents fail

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because builders ignore documentation fields.

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Add, use this to change the due date or details of an existing task.

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Accept natural language dates like next Friday or tomorrow.

315
00:12:04,800 --> 00:12:07,400
That advice tells the reasoning layer what's possible,

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improving its ability to translate casual user requests

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into structured updates.

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One saved, test again, ask.

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Set the due date for the design review task to Friday.

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00:12:17,280 --> 00:12:19,360
The first time you do this, co-pilot studio,

321
00:12:19,360 --> 00:12:21,640
ask you to grant permission for that planar connection,

322
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approve it.

323
00:12:22,320 --> 00:12:24,760
In seconds, your plan updates, the date aligns perfectly.

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You didn't drag a thing.

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00:12:26,040 --> 00:12:28,320
Now for a small demonstration of AI multitasking,

326
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try dictating via Windows plus H or using Teams microphone.

327
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Say, set all my tasks due this week to next Tuesday.

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The model will list current tasks, detect which match the condition,

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and then loop through update task actions accordingly.

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Admit it, you're impressed.

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What took you 15 clicks now happens with one spoken sentence.

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With those three tools, create, list, and update,

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you've endowed your agent with full-crut capability,

334
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minus the D for deleting,

335
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because humans still panic about irreversible actions.

336
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The trifecta covers nearly every planar scenario

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that saves measurable human minutes.

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Here's the ethical division of labor.

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You provide clarity, it provides precision.

340
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You tell it what needs doing it decides how to do it,

341
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stop micromanaging your own software.

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When you describe your intent clearly,

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the orchestration model resolves the rest,

344
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filling IDs, formatting dates, executing calls,

345
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be vague and it'll beautifully guess wrong.

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00:13:18,120 --> 00:13:20,760
Most importantly, don't obsess over perfect logic chains.

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The orchestration model adapts.

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You're not programming in code,

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you're programming in expectation.

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Teach it what good behavior looks like

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through these clear descriptions.

352
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Eventually, it will predict your intent

353
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like a courteous but slightly smug coworker.

354
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And with that, your agent's transformation is complete.

355
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It now acts.

356
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Every future command, spoken, typed,

357
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or shouted across your office,

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travels through reasoning, finds the right planar tool

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and executes without complaint.

360
00:13:44,280 --> 00:13:46,200
The result less dragging, more doing.

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Now we can bring this digital clerk out of its sandbox

362
00:13:48,880 --> 00:13:50,400
and into your daily work.

363
00:13:50,400 --> 00:13:52,160
Onward to deployment.

364
00:13:52,160 --> 00:13:54,520
Deploying to Microsoft 365 co-pilot,

365
00:13:54,520 --> 00:13:56,040
now that your agent can think and act,

366
00:13:56,040 --> 00:13:58,440
it's time to set it loose where real work happens.

367
00:13:58,440 --> 00:14:00,920
Inside Microsoft 365 co-pilot,

368
00:14:00,920 --> 00:14:02,800
keeping it confined to co-pilot studio

369
00:14:02,800 --> 00:14:04,280
is like teaching a robot to mop

370
00:14:04,280 --> 00:14:05,760
and then locking it in a classroom.

371
00:14:05,760 --> 00:14:07,920
The payoff only happens when it operates

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in your actual environment.

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Teams, outlook, or the Microsoft 365 interface itself.

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Here's why deployment matters.

375
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Co-pilot studio is development.

376
00:14:16,840 --> 00:14:19,160
Microsoft 365 co-pilot is production.

377
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That's where conversations occur

378
00:14:20,480 --> 00:14:22,280
and that's where requests originate.

379
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Embedding your agent there means you can say,

380
00:14:24,360 --> 00:14:26,920
create two tasks for next week's sprint.

381
00:14:26,920 --> 00:14:29,480
Directly in Teams chat while everyone watches it happen.

382
00:14:29,480 --> 00:14:31,440
No separate tabs, no context switching,

383
00:14:31,440 --> 00:14:32,800
no performative clicking.

384
00:14:32,800 --> 00:14:34,640
The AI executes while you move on.

385
00:14:34,640 --> 00:14:37,920
In co-pilot studio select, publish in the top right corner.

386
00:14:37,920 --> 00:14:40,040
You'll see channels, these are your deployment endpoints.

387
00:14:40,040 --> 00:14:41,920
Choose Microsoft 365 or Teams.

388
00:14:41,920 --> 00:14:43,800
The first time, it'll ask you to authenticate

389
00:14:43,800 --> 00:14:45,080
and approve permissions.

390
00:14:45,080 --> 00:14:46,000
Translation.

391
00:14:46,000 --> 00:14:47,840
You're telling Microsoft that this agent

392
00:14:47,840 --> 00:14:50,280
is allowed to touch planner on your behalf

393
00:14:50,280 --> 00:14:51,720
if it's a vital trust handshake.

394
00:14:51,720 --> 00:14:53,920
Ignore any temptation to skip details.

395
00:14:53,920 --> 00:14:56,560
Corporate governance teams adore denying automation requests

396
00:14:56,560 --> 00:14:58,080
that lack documented permissions.

397
00:14:58,080 --> 00:14:59,640
Once published, your agent appears

398
00:14:59,640 --> 00:15:03,440
as an available co-pilot extension inside Microsoft 365.

399
00:15:03,440 --> 00:15:04,880
Open Teams and start a new chat

400
00:15:04,880 --> 00:15:07,000
summon your task planner agent by name

401
00:15:07,000 --> 00:15:08,960
or select it in the co-pilot panel.

402
00:15:08,960 --> 00:15:11,920
From here, your commands become live operations.

403
00:15:11,920 --> 00:15:13,000
Let's test.

404
00:15:13,000 --> 00:15:15,840
Type or dictate if you enjoy theatrics.

405
00:15:15,840 --> 00:15:17,160
Create two tasks.

406
00:15:17,160 --> 00:15:20,200
Draft client report and organize backlog review.

407
00:15:20,200 --> 00:15:23,360
Watch as the AI processes, reasons and confirms.

408
00:15:23,360 --> 00:15:24,800
If you flip to your planner board,

409
00:15:24,800 --> 00:15:27,720
you'll see both tasks appear almost instantly.

410
00:15:27,720 --> 00:15:29,640
The meta pleasure of not dragging a single card

411
00:15:29,640 --> 00:15:30,920
is hard to overstate.

412
00:15:30,920 --> 00:15:32,160
Next, test listing.

413
00:15:32,160 --> 00:15:35,120
Ask, what tasks are open in my group plan?

414
00:15:35,120 --> 00:15:37,320
Co-pilot queries planner through your agent

415
00:15:37,320 --> 00:15:39,480
retrieves data using the list tasks tool

416
00:15:39,480 --> 00:15:41,600
and formats a conversational response.

417
00:15:41,600 --> 00:15:44,000
It's not just text, it's reasoning output

418
00:15:44,000 --> 00:15:46,480
supported by live API activity.

419
00:15:46,480 --> 00:15:48,080
Then, give it a challenge.

420
00:15:48,080 --> 00:15:51,080
Set the backlog review task due next Wednesday.

421
00:15:51,080 --> 00:15:53,240
It identifies the correct record by matching the title

422
00:15:53,240 --> 00:15:55,720
from its previous list call, transforms next Wednesday

423
00:15:55,720 --> 00:15:58,120
into the ISO date required by planner's back end

424
00:15:58,120 --> 00:15:59,360
and performs the update.

425
00:15:59,360 --> 00:16:00,840
Congratulations, you've just conducted

426
00:16:00,840 --> 00:16:04,000
a full conversational transaction across AI, planner APIs,

427
00:16:04,000 --> 00:16:05,880
and Teams without leaving the chat canvas.

428
00:16:05,880 --> 00:16:09,040
Here's the important mental model, co-pilot's reasoning loop.

429
00:16:09,040 --> 00:16:11,560
Each user message triggers interpretation, context recall,

430
00:16:11,560 --> 00:16:12,880
and tool invocation.

431
00:16:12,880 --> 00:16:15,040
When you say update my overdue tasks,

432
00:16:15,040 --> 00:16:17,920
co-pilot's orchestration doesn't just look up a rule.

433
00:16:17,920 --> 00:16:21,080
It decides which action chain fits that intent, list tasks,

434
00:16:21,080 --> 00:16:23,040
filter overdue, update due dates,

435
00:16:23,040 --> 00:16:25,040
and executes them sequentially.

436
00:16:25,040 --> 00:16:26,760
You meanwhile, sip coffee.

437
00:16:26,760 --> 00:16:29,040
You can also dictate commands via Windows+H

438
00:16:29,040 --> 00:16:30,840
or Teams microphone icon.

439
00:16:30,840 --> 00:16:33,960
Voice isn't me a novelty, it's accessibility with attitude.

440
00:16:33,960 --> 00:16:37,200
Saying, mark my open tasks due this week as next Monday

441
00:16:37,200 --> 00:16:39,520
applies natural phrasing to structured automation.

442
00:16:39,520 --> 00:16:42,120
Co-pilot interprets tone, passes temporal language,

443
00:16:42,120 --> 00:16:44,840
and converts it into deterministic planner data.

444
00:16:44,840 --> 00:16:46,600
To the untrained ear, it's wizardry.

445
00:16:46,600 --> 00:16:49,600
To you, it's the satisfaction of a well-designed reasoning

446
00:16:49,600 --> 00:16:50,000
loop.

447
00:16:50,000 --> 00:16:53,520
A technical warning, the first time each tool runs inside 365,

448
00:16:53,520 --> 00:16:55,760
you'll need to re-approved its connector permission.

449
00:16:55,760 --> 00:16:58,600
This is Microsoft's idea of security consistency,

450
00:16:58,600 --> 00:17:00,120
redundant but necessary.

451
00:17:00,120 --> 00:17:02,120
Approved once, and it won't bother you again

452
00:17:02,120 --> 00:17:03,680
unless your session expires.

453
00:17:03,680 --> 00:17:07,040
Now, test speech plus chain reasoning together, say,

454
00:17:07,040 --> 00:17:09,800
list my pending tasks, then set all to Friday.

455
00:17:13,560 --> 00:17:16,080
The orchestration engine passes the conjunctive phrase,

456
00:17:16,080 --> 00:17:17,400
then set all.

457
00:17:17,400 --> 00:17:20,160
Logically concludes it needs both list and update actions

458
00:17:20,160 --> 00:17:23,400
calls them sequentially and refreshes the context.

459
00:17:23,400 --> 00:17:25,120
The result appears seconds later.

460
00:17:25,120 --> 00:17:26,520
That, by the way, is the point at which

461
00:17:26,520 --> 00:17:28,120
traditional automation breaks.

462
00:17:28,120 --> 00:17:30,720
Multiple actions triggered by one natural sentence.

463
00:17:30,720 --> 00:17:32,760
Co-pilot handles it because it doesn't follow rules.

464
00:17:32,760 --> 00:17:34,280
It reasons through them.

465
00:17:34,280 --> 00:17:37,480
Once you've validated, create, list, and update flows,

466
00:17:37,480 --> 00:17:39,400
close the studio tab with confidence.

467
00:17:39,400 --> 00:17:41,160
Your agent doesn't live there anymore.

468
00:17:41,160 --> 00:17:44,960
It now roams across teams and 365 as an autonomous operator.

469
00:17:44,960 --> 00:17:47,920
From this point, any team member with permission can invoke it.

470
00:17:47,920 --> 00:17:49,600
And yes, the first time someone realizes

471
00:17:49,600 --> 00:17:52,840
they can vocalize at three tasks instead of clicking 14 times,

472
00:17:52,840 --> 00:17:54,760
you'll obtain minor deity status.

473
00:17:54,760 --> 00:17:56,160
Your deployment is complete.

474
00:17:56,160 --> 00:17:58,400
The digital laborer now works where you work.

475
00:17:58,400 --> 00:18:00,040
You've replaced drag and drop monotony

476
00:18:00,040 --> 00:18:02,040
with language-driven execution.

477
00:18:02,040 --> 00:18:03,560
Let's address how to keep it efficient,

478
00:18:03,560 --> 00:18:06,800
compliant, and expandable before the novelty wears off.

479
00:18:06,800 --> 00:18:08,840
Automation, strategy, and limitations.

480
00:18:08,840 --> 00:18:10,280
Now that you're basking in the glow

481
00:18:10,280 --> 00:18:11,680
of fully functioning automation,

482
00:18:11,680 --> 00:18:14,560
let's ruin it slightly by discussing reality, strategy,

483
00:18:14,560 --> 00:18:16,160
and limitations.

484
00:18:16,160 --> 00:18:18,600
Every intelligent system needs maintenance, governance,

485
00:18:18,600 --> 00:18:20,680
and the occasional boundaries conversation.

486
00:18:20,680 --> 00:18:21,560
Here's the first truth.

487
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Co-pilot Studio isn't replacing power-automate.

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00:18:23,720 --> 00:18:24,840
It's complementing it.

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00:18:24,840 --> 00:18:26,880
Power Automate is still your back-end engine

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for structured workflows, the invisible machinery

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00:18:29,160 --> 00:18:30,720
that handles routine triggers.

492
00:18:30,720 --> 00:18:33,160
Co-pilot Studio is the conversational front end.

493
00:18:33,160 --> 00:18:34,880
The reasoning shell that translates

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messy human requests into structured logic.

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When combined, they form a closed loop.

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Co-pilot talks to people, power-automate talks to systems.

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Together, they remove you from the middle.

498
00:18:45,640 --> 00:18:47,640
Use the right tool for the right depth.

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00:18:47,640 --> 00:18:49,920
When you need a deterministic flow, say,

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00:18:49,920 --> 00:18:52,520
whenever a form response arrives, create a task,

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00:18:52,520 --> 00:18:54,040
that's power-automate territory.

502
00:18:54,040 --> 00:18:56,160
When you need interpretive flexibility,

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00:18:56,160 --> 00:18:59,200
like add whatever tasks came up in today's meeting,

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00:18:59,200 --> 00:19:00,600
that's Co-pilot's domain.

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00:19:00,600 --> 00:19:02,080
The mature automation strategist

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understands synergy over redundancy.

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Second, refine your descriptions.

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Those text fields you ignored while adding tools,

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they are the prompts, the model reads,

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when choosing what to do.

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Updating them with clear intent phrases,

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like use this action when the user wants to set a date,

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dramatically improves reliability.

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Poor descriptions are the number one reason agents misfire.

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00:19:21,760 --> 00:19:22,960
Third, governance.

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Every connection your agent uses,

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planner, teams, sharepoint, operates

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under your Microsoft 365 permissions, respect boundaries.

519
00:19:29,600 --> 00:19:31,680
Don't casually authorize on personal tenants

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if the plan belongs to corporate teams.

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00:19:33,800 --> 00:19:36,280
Audit connections regularly, your future self,

522
00:19:36,280 --> 00:19:39,080
tasked with security compliance, will thank you.

523
00:19:39,080 --> 00:19:41,480
Monitoring is the next layer of maturity.

524
00:19:41,480 --> 00:19:43,240
In Co-pilot's studio's analytics view,

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00:19:43,240 --> 00:19:46,320
track invocation rates, response latencies, and tool calls.

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00:19:46,320 --> 00:19:47,720
If one action keeps failing,

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00:19:47,720 --> 00:19:50,800
it's likely misconfigured credentials or expired permissions.

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00:19:50,800 --> 00:19:52,680
Fix, republish, move on.

529
00:19:52,680 --> 00:19:55,280
Now, the fun part, limitations,

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00:19:55,280 --> 00:19:59,600
or as Microsoft marketing prefers, usage considerations.

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00:19:59,600 --> 00:20:01,400
The Co-pilot context window can handle

532
00:20:01,400 --> 00:20:03,240
about 3,000 words for reasoning.

533
00:20:03,240 --> 00:20:05,760
That means if you paste your entire project history

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00:20:05,760 --> 00:20:08,040
into one chat, it'll forget the start

535
00:20:08,040 --> 00:20:09,640
before it reaches the summary.

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00:20:09,640 --> 00:20:11,960
Keep requests concise one intent at a time.

537
00:20:11,960 --> 00:20:14,840
Also, team's environments impose about 10 Co-pilot sessions

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00:20:14,840 --> 00:20:17,680
per user every 24 hours, unless you're in a full enterprise

539
00:20:17,680 --> 00:20:20,680
tenant, hit the limit, and your agent politely refuses

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00:20:20,680 --> 00:20:22,520
to serve until the next day.

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Consider it forced rest.

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00:20:24,000 --> 00:20:25,760
Robots deserve boundaries too.

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00:20:25,760 --> 00:20:27,040
Licensing matters.

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00:20:27,040 --> 00:20:29,760
Developer tenants often lack semantic index features,

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00:20:29,760 --> 00:20:32,800
meaning no rich grounding in sharepoint data.

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00:20:32,800 --> 00:20:35,840
Production environments unlock those advanced integrations.

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00:20:35,840 --> 00:20:36,640
Translation.

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00:20:36,640 --> 00:20:39,200
Prototypes may look dumber than production agents.

549
00:20:39,200 --> 00:20:40,160
That's not your fault.

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00:20:40,160 --> 00:20:41,200
It's licensing.

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00:20:41,200 --> 00:20:43,160
Combined Co-pilot Studio with Power Automate

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for complex dependencies.

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For instance, have Co-pilot collect context

554
00:20:46,640 --> 00:20:48,920
conversationally, assign tasks to everyone

555
00:20:48,920 --> 00:20:51,480
who attended the meeting, and push that data

556
00:20:51,480 --> 00:20:54,760
into a Power Automate flow that iterates through attendees

557
00:20:54,760 --> 00:20:58,000
to create individual planner tasks.

558
00:20:58,000 --> 00:21:01,520
Let humans chat, let flows crunch logic, best practice.

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00:21:01,520 --> 00:21:03,200
Document your configurations.

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00:21:03,200 --> 00:21:06,320
Future you will forget which group ID belongs to which plan.

561
00:21:06,320 --> 00:21:09,040
Maintain a simple table in one node or SharePoint.

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00:21:09,040 --> 00:21:11,600
Agent name, connector type, authentication owner,

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00:21:11,600 --> 00:21:12,960
last published date.

564
00:21:12,960 --> 00:21:14,760
Administration by spreadsheet ironically

565
00:21:14,760 --> 00:21:17,240
prevents chaos by AI, a quick micro story

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to illustrate payoff.

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00:21:18,320 --> 00:21:20,960
A small product team built their own sprint clerk agent

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following these steps.

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It handled routine task creation, week ahead scheduling,

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and daily due date alignment.

571
00:21:27,040 --> 00:21:29,000
What used to eat 15 minutes per meeting

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shrank to one verbal instruction.

573
00:21:30,960 --> 00:21:33,120
Multiply that across 50 meetings a quarter,

574
00:21:33,120 --> 00:21:35,560
and astonishingly they reclaim days per year

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00:21:35,560 --> 00:21:37,240
without writing a single line of code.

576
00:21:37,240 --> 00:21:38,760
But temper expectations.

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00:21:38,760 --> 00:21:41,960
Co-pilot's intelligence is bounded by context and clarity.

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00:21:41,960 --> 00:21:43,560
It's brilliant at conversion, turning

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soft human phrasing into structured action.

580
00:21:45,360 --> 00:21:46,840
It's mediocre at philosophy.

581
00:21:46,840 --> 00:21:48,880
When it hesitates, that's a prompt design issue,

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not machine rebellion.

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00:21:50,200 --> 00:21:52,640
To summarize your strategy, reason in Co-pilot

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00:21:52,640 --> 00:21:54,400
execute an Automate Monitor in Studio

585
00:21:54,400 --> 00:21:56,240
and respect license boundaries.

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00:21:56,240 --> 00:21:58,800
That quartet keeps automation efficient and compliant.

587
00:21:58,800 --> 00:22:00,560
You've built not just a digital intern,

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but a framework for scaling repetitive cognitive labor.

589
00:22:03,920 --> 00:22:05,760
In short, let AI handle the mundane.

590
00:22:05,760 --> 00:22:07,360
You handle the meaningful.

591
00:22:07,360 --> 00:22:09,080
Now, sharpen your next request.

592
00:22:09,080 --> 00:22:11,600
An entire workflow awaits orders.

593
00:22:11,600 --> 00:22:13,760
From task juggler to task commander.

594
00:22:13,760 --> 00:22:15,440
So this is what progress feels like.

595
00:22:15,440 --> 00:22:17,800
Speaking tasks into existence instead of dragging them

596
00:22:17,800 --> 00:22:20,080
like a 109-9 spreadsheet addict,

597
00:22:20,080 --> 00:22:22,480
you've gone from babysitting planner to commanding it.

598
00:22:22,480 --> 00:22:24,840
Your new Co-pilot Studio agent listens,

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00:22:24,840 --> 00:22:27,960
reasons, and executes while you stay at the thinking level.

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00:22:27,960 --> 00:22:30,240
It's not automation for automation's sake.

601
00:22:30,240 --> 00:22:32,720
It's delegation executed at machine speed.

602
00:22:32,720 --> 00:22:34,520
Remember, you didn't just connect an API,

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you built a reasoning layer that interprets human intent.

604
00:22:37,280 --> 00:22:39,040
That means every meeting note, every vague,

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00:22:39,040 --> 00:22:40,360
we should do that next week,

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00:22:40,360 --> 00:22:43,560
can now become structured tasks without clerical suffering.

607
00:22:43,560 --> 00:22:46,480
The difference between a project drowning in manual updates

608
00:22:46,480 --> 00:22:48,480
and one that stays current automatically

609
00:22:48,480 --> 00:22:51,280
is frankly whether someone like you bother to set this up

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00:22:51,280 --> 00:22:52,360
at its core.

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00:22:52,360 --> 00:22:55,600
This is the real promise of Microsoft 365 Co-pilot,

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00:22:55,600 --> 00:22:58,600
not more tools, just smarter orchestration between them.

613
00:22:58,600 --> 00:22:59,680
Planner is still planner.

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00:22:59,680 --> 00:23:02,320
You've simply promoted it from whiteboard to workforce.

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00:23:02,320 --> 00:23:04,920
So yes, stop dragging, stop clicking through menus

616
00:23:04,920 --> 00:23:06,080
that insult your intelligence.

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00:23:06,080 --> 00:23:07,920
You built an AI Clarke for a reason.

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00:23:07,920 --> 00:23:08,600
Let it work.

619
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You handle judgment, creativity, leadership.

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The thing silicon still finds puzzling.

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If this saved you even 10 minutes or one ounce of sanity,

622
00:23:16,200 --> 00:23:18,280
repay the universe by subscribing.

623
00:23:18,280 --> 00:23:19,760
There's more coming power platform,

624
00:23:19,760 --> 00:23:21,280
Co-pilot expansions,

625
00:23:21,280 --> 00:23:23,120
the good kind of automation addiction.

626
00:23:23,120 --> 00:23:25,360
Tap follow, enable notifications,

627
00:23:25,360 --> 00:23:27,840
and let the next upgrade deploy automatically.

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00:23:27,840 --> 00:23:30,760
Efficiency is a habit, install it permanently.