Welcome to Data and AI with Mukundan, where you
learn AI by building. Hey, I'm Mukundan. This
show is about solving real problems with small,
useful AI, things that you can actually use today.
Each week, we pick one problem, build a simple
workflow or tool, and talk through the decisions,
what to automate, how to check quality, and how
to make it reliable. If you're a builder, creator,
or just AI curious, You leave with the steps
that you can copy tonight. Your calendar is a
mess. Your inbox is flooded. And if you're on
the job hunt, your head is spinning. Which companies
did I apply to? What role was that recruiter
even emailing about? Did I even send a thank
you note? Well, today we are going to fix that.
I'll show you how AI agents can transform your
job search. Not hype. not even science fiction
just real functions that you can use right now
to track applications prep for interviews and
even handle follow -up emails by the end of this
episode you'll see exactly how to build three
job hunting agents one that tracks your applications
one that preps you for interviews and one that
drafts and reminds you about follow -ups together
they save you time and make sure nothing slips
up through the cracks. Welcome to Data and AI
with Mukundan, where you learn AI by building.
I'm Mukundan and this show is about solving real
problems with small useful AI tools. Each week
we pick one problem, build a workflow and talk
through the decisions about what to automate,
how to check quality and how to make it reliable.
I've spent years in data analytics and marketing
science. I'm not impressed by buzzwords, I'm
just impressed when something actually saves
me time. And let me be honest, job hunting is
stressful. Between applications, recruiter emails,
interviews, and follow -ups, it's too easy to
miss a step. That's where AI agents shine. If
they can plan steps, remember what's happened,
and adjust with feedback, they become game changers.
So let's dive into three practical agents for
job hunting. The first one, job application tracker
agent. So let's start with the most basic need.
Keeping track of where you applied. So if you
ever applied to 10 jobs in a week or 100 jobs
in a week and forgotten which ones or you'll
appreciate this. Here's what the application
tracker agent does. You paste in a job post link.
It extracts the company name, role title, location
and salary range. And salary range. It logs that
into a Notion table or a Google Sheet. It then
asks you, do you want to auto -set a follow -up
reminder in seven days? Here's why I would say
this feels magical to me. You never again need
to open 20 tabs to remember your pipeline. The
agent remembers that for you. So for example,
when I tried it, I pasted a real job post into
the agent. It responded back with, got it, company
X. Roll senior data analyst salary 140 to 190k.
Location, San Francisco. Lock to your tracker.
Then it asks, do you want me to add a follow
-up reminder? That's planning, memory, and feedback
in one. Now here's the thing. Applications, they're
just the start. The real stress is interviews.
Like how do you prepare without drowning in notes?
That's where the interview prep agent comes in.
It takes two inputs. the job descriptions, and
your resume. With that, it outputs three things.
Three tailored behavioral questions, three technical
or case questions, a mock tell me about yourself
crafted for that role. Now, this is something
I tried. So I fed in a job description of the
company I wanted plus my resume. Then the agent
output was that tell me about a time you built
an analytics dashboard. that influence product
strategy and then it also gave me here's a sequel
question write a query to calculate retention
at 30 days here's a draft pitch i spent seven
plus years in analytics that's planning it matches
resume skills to job description needs also that's
memory remembers both inputs adds feedback also
because i can say make it shorter or focus on
retention suddenly you got a practice set tailored
to the exact job now the third thing i want to
talk about was a follow -up agent so now let's
fast forward right you nailed the interview the
recruiter says we'll get back to you in a week
what happens next usually just silence unless
you remember to follow up enter the follow -up
agent after your interview it drafts a polite
thank you note in your voice it logs the date
it reminds you after seven days if you haven't
heard back i say interview with company Today,
agent replies, here's a thank you draft. Hi,
ABC, thank you for the thoughtful conversation.
I've locked today's date. I'll remind you in
seven days if you don't mark this closed. That's
feedback in action. The agent checks back, doesn't
just disappear. See why this works. Notice the
pattern. Each agent has three ingredients. Planning
where it breaks goals into steps. Memory, where
you remember the context. feedback where you're
retrying, nudging, or asking you to approve.
Without those, you don't have an agent. You just
have scripts. With them, you have something that
feels like a partner. Now, here's the fun part
of today's episode. I want to do a quick true
and false quiz. Quick lightning round. Answer
true or false. Question one. An AI agent is just
a chatbot that answers questions. Second question.
If you paste the job post, the agent can plan
steps like extracting data and logging it. Third
one, interview prep agents don't need memory.
They just generate generic questions. Fourth,
feedback loops make agents resilient to mistakes.
And finally, a follow -up agent that nudges you
after seven days is showing planning and memory.
So all of these are true or false. Just going
to repeat the questions one more time. An AI
agent is just a chatbot that answers questions.
If you paste a job post, the agent can plan steps
like extracting data and logging it. Interview
prep agents don't need memory. They just generate
generic questions. Feedback loops make agents
resilient to mistakes. A follow -up agent that
nudges you after seven days is showing planning
and memory. Alright, so... here are the answers
now to the five questions any agent just a chatbot
it answers questions the answer is false if you
paste the job post then the agent can plan steps
like extracting data and logging it that is true
interview prep agents don't need memory they
just generate generate questions false feedback
loops make agents resilient to mistakes true
a follow -up agent that nudges you after seven
days is showing planning and memory true now
I want you to reflect on three questions. What
part of the job search drains you the most? Is
it the tracking, the prepping, or the following
up? Would you trust an agent to draft a thank
you email on your behalf? Why or why not? If
you had to build one job hunt agent today, which
one would you start with? Share your thoughts.
I'll link the discussion thread in the show notes.
Here's your challenge. Build a mini job hunt
agent. This week, keep it simple. Pick one goal,
like track every application. Break it into three
steps. Add a scratchpad or sheet for memory.
Add one feedback rule, like ask me before saving.
That's your V0 .5 agent. No perfection required,
just proof. With this help, share it with one
friend who's job hunting. They'll thank you.
Before you go, please rate the show 5 stars on
Spotify or Apple Podcasts. It takes seconds,
but makes a huge difference. And if you're listening
on Apple, leave a short one -line review, please.
I need them all. Next time, we're going even
bigger. What happens when one agent isn't enough?
Multi -agent systems that pass tasks between
each other. Until then, remember, if your agent
doesn't save your time, it's a toy. And if it
does, it's a tool you rely on every day. Before
you go, I just wanted to let you know that I
record with Riverside. I'm an affiliate partner
Riverside. They helped me record this episode
and they have amazing audio quality. So that's
something I just wanted to recommend if you're
ever deciding to do your own podcast. This is
a great platform to record because their editing
features are amazing. Their AI editing is I think
next level. Helps you remove all awkward pauses
and gives your sound a strong voice. It gives
you a strong voice. so i would highly recommend
riverside as the reason why i chose to be an
affiliate partner because i actually use the
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joining cider .ai hey it's mukundan if this episode
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more people find the show. That's all for this
week. Thank you for joining and I will see you
in the next episode of Data and AI with Mukundan,
where you learn AI by building.