WEBVTT

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Welcome to Data and AI with Mukundan, where you

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learn AI by building. Hey, I'm Mukundan. This

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show is about solving real problems with small,

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useful AI, things that you can actually use today.

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Each week, we pick one problem, build a simple

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workflow or tool, and talk through the decisions,

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what to automate, how to check quality, and how

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to make it reliable. If you're a builder, creator,

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or just AI curious, You leave with the steps

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that you can copy tonight. You know that feeling

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when your calendar is a mess, your inbox is overflowing,

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and you think, if only I had an assistant who

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just handled it. As the promise of AI agents,

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last episode we defined what an agent really

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is. Today, we're going deeper. I'm going to show

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you how agents actually think. The three ingredients

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that make them useful is planning, memory and

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feedback loops. By the end, you'll see how to

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build an agent that doesn't just talk. It takes

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action, learns from mistakes and saves you real

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hours in your week. Here's the truth. Most agents

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you see on social media are toys. They look flashy

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in a demo but fall apart in real life. Why? Because

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they can't plan, they can't remember, and they

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can't fix mistakes. Without those three, an agent

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is just a chatbot with a fancier name. But when

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you add planning, memory, and feedback, something

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magical happens. Feels like the agent actually

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thinks. That's what we'll cover today with stories,

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a live demo, and even a quiz to test your instincts.

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Let's look at planning. Think of it, think of

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planning as the map. An agent starts with a goal,

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then breaks it to steps. Say the goal is plan

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my workout week. A chatbot might just list some

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exercises. But an agent, it checks your calendar,

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sees that you're free Monday morning or Monday

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evening and Wednesday morning. It balances intensity

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so that you're not sore two days in a row. And

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also it proposes a full week plan. That's planning.

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It takes a big task and turns it into manageable

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steps. Without it, you're wandering without a

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map. Let's look at memory. Now planning is great,

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but if you forget what you just did, you're stuck.

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That's why memory matters. Agents have two kinds

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of memory. Short -term memory is like a scratch

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pad. It tracks the last step or two. Now, long

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term memory for agents, it's like a notebook.

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It stores important things for later. For example,

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when scheduling your workouts, the agent remembers

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it already filled Monday. That's short term.

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It also remembers that you like running outdoors.

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So it avoids rainy days. That's long term. Without

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memory, every step is a fresh start. With memory,

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the agent feels consistent. Almost human -like.

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And here's the final ingredient of agents. Feedback

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loops. Now when every plan meets reality, reality

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pushes back. Let's say the agent tries to book

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Tuesday at 7pm but finds that the time is already

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taken. With feedback, it retries Wednesday morning.

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Or maybe it drafts an email that's too long.

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With feedback, it shortens it. Feedback can come

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from the system itself like automatic retries

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or from you, the human. which would be approval

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steps, yes or no buttons. Without feedback, the

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agents collapse at the first mistake. With feedback,

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they course correct and actually get things done.

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Okay, now let's look at a demo of the AI agent

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so that we can see how it actually works. Here's

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what happened. I first gave it a prompt and this

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was my prompt. I said, you are a calendar coach

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in agent mode. 90 -minute deep work sessions

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this week, plus one 45 -minute admin block and

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one 30 -minute workout. Constraints, week, window,

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Sunday, September 21 to September 27, 2025. And

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I mentioned the time zone admin. I also mentioned

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avoid conflicts with events I provide that treat

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as read -only ground truth. Prefer morning for

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deep work, admin after lunch, and all blocks

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end by 5 p .m. Ask for explicit approval. Do

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not create or modify events. Dry run only. If

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a proposed time overlaps, use a feedback loop

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to retry the next best slot. My events for this

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week. I mentioned what those events are. And

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I also gave what an output I'm expecting. I mentioned

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the output is around the proposed schedule. There

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is ISO local times. Each time with a one -line

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reason. And I also mentioned I want a yes -no

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approval checklist for each block. A two -sentence

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conflict rationale. even if there are no conflicts

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and a 60 second kickoff action for the first

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deep work block so i also gave it my actual calendar

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screenshot so what it did was attribute this

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is what it gave me back right it said i reviewed

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the calendar screenshot you shared the existing

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recurring events morning affirmations whatever

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i had you just mentioned the different events

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i have And they also mentioned that it does not

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conflict with the proposed blocks, which the

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AI was suggesting, the agent was suggesting.

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It also mentioned that the AI agent also mentioned

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that your weekends also have brief blocks at

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certain times and another brief block at certain

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time, but these are outside the proposed times.

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So the proposed schedule that it came up with,

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with no conflicts detected, had like four columns

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to it. One was a block. one was a proposed time

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one was reason and one was approve yes or no

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so one was like could be event one and between

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9 a .m to 10 30 a .m on 9 22 so on monday and

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then reason monday morning start allows for focused

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work while energy is high and then it gave me

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an approve yes or no with the checkbooks and

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then like four other events like that with an

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admin block uh event as well said that reason

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for admin block between 1 a 1 pm to 1 45 pm is

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because post lunch session for administrative

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tasks when cognitive load is lower so it's yes

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or no so here's what i'm noticing right it's

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taking into account what i wanted i said i wanted

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to do admin work after lunch focused work in

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the morning evening time for the workout And

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it gave me that and it gave me those proposed

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times and it said, this is what I think you should

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do and give me an approval so that I can go ahead

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and make the schedule. And it also mentioned

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like a kickoff action for the first deep work

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block. It said before starting the Monday deep

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work session, clear your workspace, silence notifications,

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and then write down the single most important

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task you intend to complete. Set a 90 minute

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timer, take a few deep breaths and jump straight

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into that task without checking messages or emails.

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Let me know which blocks you approve and I'll

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prepare the calendar events accordingly. Nothing

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will be added until you confirm. This is what

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the AI agent said to me. And here's the thing,

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right? I didn't mention like I work from 5 a

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.m. to 2 p .m. This kind of information would

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have been helpful for it. And it's obviously

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like I can obviously go back and do that, but

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I just wanted to do like a general demo walkthrough

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here. help you see what how an agent really works

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what we need to see what we can see now is that

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ai agents can help you prepare your calendar

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if that was already not known it's just something

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that is taken care of for you via you know without

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if you just notice the live demo here's what

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just happened i wanted to showcase the planning

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memory and feedback loop In terms of planning,

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it gave me a deep work session, which I wanted

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to do across Monday, Wednesday, Friday with a

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slaughtered admin in the afternoon and a workout

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in the evening. Memory, it remembered the window

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that I wanted to do it between, like it said,

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like September 27 was the end date, 21 being

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the start date. It remembered the window that

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I gave it and it didn't repeat any overlapping

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times. And in terms of feedback loop, when I

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added my calendar screenshot, it checked against

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those affirmations plus focus hours and explained

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why there were no conflicts and the humor in

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the loop it gave me an approval checklist whether

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yes or no whether i approve it or not showing

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the dry run board and a kickoff action like it

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ended with a concrete 60 second kickoff which

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was essentially that you know before starting

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the work on monday uh for deep work clear your

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workspace silence notifications and then write

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down single most important task you intend to

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complete so that is like a that's like a great

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kickoff of 60 seconds that that helps you to

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you know start your work right away and this

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whole thing is this is just gold for how ai agents

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actually think now i'm going to come back to

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the segment just want to talk about some other

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examples which where you can use ai agents like

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a calendar blocker For example, which I just

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talked about, where it reads your goals, scans

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your schedule, proposes blocks, and asks for

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approval before creating them. And email triage,

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which I mentioned last time as well. It sorts

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your emails by type, drafts short replies, and

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leaves the final sent to you. So the human in

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the loop is also there. And a podcast prep agent

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gathers bios, writes a briefing, and drafts starter

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questions. This could be for your podcast guest

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if you want to. have them and an inbox to notion

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connector so it turns your emails into to do

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tasks with due dates right so that that also

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is a great use case for an ai agent you can also

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have a data digest agent where it pulls yesterday's

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metrics flags anything unusual and drafts a slack

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update or a team update microsoft teams none

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of these are science fiction right there's practical

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helpers once you can use how And once you can

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know how to use one, you'll wonder how you ever

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worked without it. Okay, now that we learned

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AI agents, before I wrap up, I just wanted to

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do a true -false lightning round and answers

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at the end. All right, here's the first question.

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An AI agent is just a chatbot that answers questions,

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true or false. An AI agent is just a chatbot

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that answers questions. If an agent can replan

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when one tool breaks, it's probably real. The

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third question I have is, clear goals matter

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less than clever prompts. Again, all of these

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are true or false. Third, repeating again, clear

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goals matter less than clever prompts. Fourth

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one, memory makes agents feel consistent. Memory

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makes agents feel consistent. Fifth one, feedback

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loops are optional. Fifth one, again repeating,

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feedback loops are optional. Sixth one is agents

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don't have to be perfect. They just need to keep

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going. Repeating it again. Agents don't have

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to be perfect. They just need to keep going.

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All right. Now that I went with the questions,

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I just want to give you the answers here. The

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first answer here is false to the question. An

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AI agent is just a chatbot that answers questions.

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So that one is false. The second one question

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I'll repeat. And I'll give you the answer. If

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an agent can replan when one tool breaks, it's

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probably real. And the answer here is true. The

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third question. Clear goals matter less than

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clever prompts. The answer is false. Fourth one.

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Memory makes agents feel consistent. Answer is

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true. Fifth one. Feedback loops are optional.

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Answer is false. Sixth. Agents don't have to

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be perfect. They just need to keep going. Answer

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true. Well, if you scored all six, you're ahead

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of the curve. If not, don't worry, just learn

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by building. And the explanations for these answers

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are there in the episode. So just go back and

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listen to the episode and you'll figure out these

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answers. How this applies to your work. So whether

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you're studying, managing projects, or just battling

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your inbox, the same three ingredients apply.

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Where you need to define a clear goal, break

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it into steps, keep notes on what's been done,

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and add a way to adjust when things go wrong.

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That's it. That's the recipe. planning memory

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and feedback or if you know if you ignore these

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you're building sand castles if you include them

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you're building systems that last here's my challenge

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for you build your first mini agent i want you

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to pick one goal this week write it down in plain

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english or whatever language that you want break

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it into three steps add a scratch pad a dock

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a note or a sticky and add one feedback rule

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like Ask me before saving. Congratulations. That's

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your first mini agent. It won't be perfect, but

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it will work better than 90 % of the hype you

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see online. If your agent doesn't give you time

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back, it's just a toy. But when you frame the

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goal clearly, give it memory and let it learn

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from feedback. It becomes a tool you'd rely on

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every day. For me, the difference was real. I

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went from staring at a messy inbox and calendar

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to getting two hours back every week. That's

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not hype, that's clarity. Here are some discussion

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questions for you. And I'll link to the discussion

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in the show notes. What's one task in your day

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that you'd want an agent to handle first? Do

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you trust in AI to plan your calendar? Why or

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why not? Which is harder for you? Planning, remembering

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or fixing mistakes? Share your thoughts and I'd

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love to hear them. That's today's episode, how

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AI agents actually think. If this helped, share

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it with one friend who's drowning in admin work.

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Next time, we'll take it up a notch and talk

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about what happens when one agent isn't enough.

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Multi -agent systems that pass tasks between

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each other. Until then, remember, planning, memory,

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and feedback are the difference between hype

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and something that actually saves you time. There's

00:15:07.710 --> 00:15:10.129
one final discussion point I wanted to cover.

00:15:10.610 --> 00:15:12.879
What's harder for you? Planning, remembering

00:15:12.879 --> 00:15:15.620
or correcting mistakes. Before you go, just wanted

00:15:15.620 --> 00:15:18.659
to let you know that I record with Riverside.

00:15:19.919 --> 00:15:22.279
I'm an affiliate partner of Riverside. They helped

00:15:22.279 --> 00:15:25.159
me record this episode and they have amazing

00:15:25.159 --> 00:15:28.139
audio quality. So that's something I just wanted

00:15:28.139 --> 00:15:30.559
to recommend if you're ever deciding to do your

00:15:30.559 --> 00:15:33.679
own podcast. This is a great platform to record

00:15:33.679 --> 00:15:37.139
because their editing features are amazing. Their

00:15:37.139 --> 00:15:40.980
AI editing is, I think, next level. Helps you

00:15:40.980 --> 00:15:44.139
remove all awkward pauses and gives your sound

00:15:44.139 --> 00:15:48.100
a strong voice. It gives you a strong voice.

00:15:48.840 --> 00:15:52.460
So I would highly recommend Riverside as the

00:15:52.460 --> 00:15:54.320
reason why I chose to be an affiliate partner

00:15:54.320 --> 00:15:56.460
because I actually use the product and I love

00:15:56.460 --> 00:16:01.779
it. So link to join their platform is in the

00:16:01.779 --> 00:16:04.340
show notes. And again, I'm an affiliate partner.

00:16:04.460 --> 00:16:08.120
So if you make any purchase, I may make a small

00:16:08.120 --> 00:16:12.070
commission from it. I also host an rss .com.

00:16:12.570 --> 00:16:15.370
Also, I'm an affiliate partner of RSS because

00:16:15.370 --> 00:16:21.230
they have an amazing distribution channel. They

00:16:21.230 --> 00:16:26.169
are able to publish your episodes from RSS into

00:16:26.169 --> 00:16:29.370
Spotify, Apple Podcasts, Amazon Music, Audible,

00:16:29.629 --> 00:16:35.490
Deezer, Pandora, iHeartRadio, and even let you

00:16:35.490 --> 00:16:38.230
publish your episode with one button into YouTube

00:16:38.230 --> 00:16:42.090
as well. Did I forget to mention that you get,

00:16:42.250 --> 00:16:45.649
you can start making money by hosting on rss

00:16:45.649 --> 00:16:48.450
.com, even if you have just 10 downloads a month.

00:16:49.049 --> 00:16:51.450
So that's all you need to make money, 10 downloads

00:16:51.450 --> 00:16:53.409
a month. It's a new feature they started and

00:16:53.409 --> 00:16:57.009
it's amazing. So again, link to joinrss .com

00:16:57.009 --> 00:16:59.210
will be in the show notes. I'm also using cyda

00:16:59.210 --> 00:17:04.569
.ai to help with my research. So if you are interested

00:17:04.569 --> 00:17:09.160
in any research for your content. or for any

00:17:09.160 --> 00:17:11.700
general you want to learn about anything, want

00:17:11.700 --> 00:17:15.079
to read research papers or any kind of thing

00:17:15.079 --> 00:17:17.960
to improve your knowledge, cider .ai is your

00:17:17.960 --> 00:17:20.759
platform to use. So again, I'm an affiliate partner

00:17:20.759 --> 00:17:23.839
and I'd love if you're able to support the show

00:17:23.839 --> 00:17:27.380
by clicking on my affiliate link and joining

00:17:27.380 --> 00:17:35.359
cider .ai. Hey, it's Mukundan. If this episode

00:17:35.359 --> 00:17:37.369
helped you, Two tiny favors that make a huge

00:17:37.369 --> 00:17:40.990
difference. Rate the show 5 stars. On Spotify,

00:17:41.170 --> 00:17:43.589
you can just open the show page and tap the star

00:17:43.589 --> 00:17:46.130
button. On Apple Podcasts, scroll to the bottom

00:17:46.130 --> 00:17:48.710
of the show page and tap 5 stars. Also, leave

00:17:48.710 --> 00:17:52.369
a one -to -line review on Apple Podcasts. Tell

00:17:52.369 --> 00:17:54.809
me one takeaway. I read every single one and

00:17:54.809 --> 00:17:57.490
it helps more people find the show. That's all

00:17:57.490 --> 00:17:59.210
for this week. Thank you for joining and I will

00:17:59.210 --> 00:18:01.069
see you in the next episode of Data and AI with

00:18:01.069 --> 00:18:02.710
Mukundan, where you learn AI by building.
