10 = Podcast Individual #10
AI Made Me Automate Myself Out Of My Own Workflow
The first time was an accident. The second time was deliberate. Vani built herself out of her own workflow to find out what would break. What she found was more specific and more useful than either outcome she expected — about the difference between the tasks that make you valuable and the habits that make you feel busy.
Play On
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1:32 min
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Chapters
0:00
Cold open — three weeks in, and the system no longer needs her
3:15
The accidental automation and what it revealed
7:00
The deliberate experiment: building herself out on purpose
11:20
What broke. What didn't. What the gap showed.
15:40
The invisible work that makes experienced creatives worth their rates
18:55
Why hard to replace and easy to describe are the same problem
Key Takeaways
- The tasks that feel essential and the tasks that are essential are not always the same list. An automation experiment is a fast way to find out which is which.
- Irreplaceable creative value tends to live in judgment calls, relationship instincts, and taste decisions — none of which show up on a task list or a timesheet.
- Being hard to replace and being difficult to articulate are the same problem. If you cannot describe where you add value, neither can your clients.
Show Notes
The first time Vani automated herself out of a workflow, she did not intend to. She built the system thoroughly, handed it to a junior contractor to run, and three weeks later understood that she had not been needed for any of it. The system held. The work was fine. She was, in practical terms, optional. Rather than dismissing that as a one-off, she decided to run the experiment again — deliberately, with documentation, and with the specific goal of finding out what would actually break when she removed herself from each step.
Key Insight: Most creative professionals mix two different kinds of work inside the same day without distinguishing them — tasks that make them valuable and tasks that make them feel busy. An automation experiment separates them faster than any other method Vani has found.
What the deliberate experiment revealed was not reassuring in the way she might have preferred — and considerably more useful. The work that broke without her was not the work she would have listed as her most important contribution. It was quieter than that. Judgment calls made early in a project. Relationship reads that shaped how a brief was interpreted. Taste decisions that happened before the first draft existed. The invisible work. This episode is the account of finding it, naming it, and building a practice around making it visible — to herself and to clients.
Topics Covered
How to audit your own creative process to find where you are genuinely adding value versus showing up out of habit
What Vani's deliberate experiment revealed about the invisible work inside experienced creative practice
Why being hard to replace and difficult to describe are the same problem — and how to fix both
What actually broke when she removed herself from each step — and what that gap means practically
Vani Aggarwal
Filmmaker, AI Strategist, Host of AI Made Me Do It
With 16+ years across six countries, Vani has directed for National Geographic India, Discovery Channel India, Fox Life, and India Today. She is an AI strategy consultant, ICF-certified executive coach, and the person who automated herself out of her own workflow — and found it clarifying enough to do it twice.
Website X Linkdin
16+
Years in Media
350K+
Course Learners
6
Countries Worked In
"I automated the parts I thought were important. What was left was everything that actually mattered."
- Vani Aggarwal
Resources Mentioned
Articles & Guides
Tools
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The experiment in this episode scales directly to organizational creative teams. Most teams cannot clearly articulate where experienced practitioners add value beyond task execution — which makes those practitioners vulnerable in every budget conversation. I work with creative leads and L&D teams on making that value specific, visible, and defensible.
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PODCAST
Not sure where your
work actually need
you?
Most creative professionals have not examined this directly. This episode gives you a structured way to find out — and a clearer picture of where your value lives than a job description or a portfolio can show.
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Frequently Asked Questions
How do I listen to AI Made Me Do It?
New episodes publish every Tuesday on YouTube and Spotify. Subscribe on either platform to get them automatically.
What does Vani mean by the difference between tasks that make you valuable and habits that make you feel busy?
Most creative workflows contain both — work that genuinely requires your judgment, taste, or relationship intelligence, and work that is simply familiar enough to feel important. The automation experiment separates them by showing which tasks hold up without you and which ones degrade. The episode explains how to run that test on your own process.
Is the automation audit something any creative professional can run, or does it require specific tools?
Any creative professional can run a version of it. The method Vani uses does not require specific AI tools — it requires a willingness to remove yourself from parts of your workflow deliberately and observe what happens. The episode walks through the steps.
What is the invisible work Vani refers to in this episode?
The creative decisions that happen before the brief is finalized, before the first draft exists, before the client sees anything — instinct calls, taste decisions, relationship reads. Work that does not appear on a task list but shapes everything that follows. The episode identifies it specifically and explains why it tends to stay invisible until it disappears.
Why does Vani say being hard to replace and being easy to describe are the same problem?
Because if you cannot articulate where you add value — specifically, not generally — then neither can the people deciding whether to hire or retain you. The episode covers how to move from a vague sense of being experienced to a clear account of what that experience actually produces.
GET IN TOUCh
Can Your Team Articulate Where It Adds Value Beyond Task Execution?
Most cannot — and in a market where AI handles more of the execution every quarter, that gap is becoming a liability. If you need to make the value of experienced creative judgment specific, visible, and defensible inside your organization, I work with teams on building that case.
Vani
Aggarwal
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