Claude Efficiencies
How is everyone using Claude Code/ Cowork to make their lives easier? Have some teammates building these grandiose things in html or whatever, but at the end of the day it's not actually saving time. It's more so, look what AI built me I am calling it mine. What is something you've built out that's truly efficient?
Based on the most helpful WSO content, leveraging AI tools like Claude for efficiency often depends on focusing on practical, time-saving applications rather than overly complex or flashy projects. Here are some ideas for truly efficient uses:
Automating Repetitive Tasks: Use Claude to generate scripts or code snippets for automating mundane tasks, such as data cleaning, formatting, or report generation. For example, automating Excel tasks with VBA or Python can save hours of manual work.
Streamlining Communication: Claude can help draft emails, create templates, or even summarize lengthy documents, making communication faster and more effective.
Coding Assistance: Instead of building grandiose projects, use Claude to debug code, generate boilerplate code, or provide suggestions for optimizing existing scripts. This can significantly reduce development time.
Knowledge Extraction: Claude can be used to extract insights from large datasets or documents, such as summarizing earnings call transcripts or analyzing sentiment in financial reports.
Learning and Training: For those new to coding or specific tools, Claude can act as a tutor, explaining concepts, providing examples, and guiding through problem-solving.
The key is to focus on tasks that directly reduce time and effort rather than creating projects for the sake of showcasing AI capabilities.
Sources: I want to intern at BW or P72, Tech As An Alternative to Finance, Learning coding on your own for finance?, AI in fundamental investing, Will robots replace your consulting or financial career?
bump
for now I'm one of those folks who built some html tools... though I actually use them. too early to tell whether they make me more efficient
Since this is off topic I assume stuff not finance related is ok.
I built a jev powered workflow to QC a relatively complicated product.
Our human QC people are maybe ~70% - 80% accurate, this is because the work is kind of taxing and it's hard to be perfect all day at it.
Jev is ~95%+ lol.
FIRE
Would love to hear more details here / what else you're working on (I know you have more up your sleeve!)
Nothing revolutionary for me, but in a business of mine, I use cowork/projects/various connectors to condense the laborious process of get customer inquiry -> calculate pricing / shipping for customer -> create a quote -> log in CRM -> email quote w/ sales pitch into a single sentence prompt. This a) saves a ton of time and b) allows us to hire lower agency sales people (aka cheaper) as it makes the process so much easier.
Claude Code is the only subscription you will ever need. I use it to build apps, draft emails, and run all my ad campaigns.
This is the greatest time in the world.
I’m talking about stuff that doesn’t make you a meat proxy
As you can see from the responses, the answer is "not much."
Aside from producing shitty, overstuffed code, there isn't much that AI is doing which exceeds the impact of the handheld calculator.
Very ignorant statement?
We have almost 3x the revenue we did 2 years ago at one co with no difference in # of white collar employees. Actually, we have less.
For example, customer service; basic CX tickets are automated and replies prefilled + critical data pulled for the agent when they answer the Q.
Or we use claude on ultracode to pull reports while we are on the factory floor...
For color, I used to run cos with ~8% - 10% of revenue -> white collar labor
Now it's closer to ~4%.
It's hard to interpret any of this vague technical jargon without knowing what it is you do, how you did it before, or any other single relevant detail.
About the only thing I got from it is that you've managed to automate basic customer service tickets by prefilling some answers.
And this to you is worth the trillions of dollars being poured into AI? You'd pay millions of dollars for that service? Even if we take at face value the statement that it is Claude and Claude alone driving this improvement for you, how much would you pay for it once you stop getting free or insanely heavily subsidized services?
All of what you just said would have been true of the handheld calculator or the typewriter, by the way. I'm not claiming that LLMs are incapable of driving value, I am rebutting the notion that they'll be transformative. And as you've eloquently shown, a technology which saves a couple hours and and autofills a couple lines on a report isn't exactly the railroad or the PC.
Cuts my tangible work in half at least. Not sure how these idiots aren’t accumulating savings. Must be too dumb to prompt.
What does this mean? What is your "tangible work"? What are you paid to do?
Firms used to employ lots of computers, in the original sense of men and women who did computations for a living. The handheld calculator made that profession obsolete. We're pouring a lot of attention and resources that could have been put towards solving real problems and earning real financial rewards into AI, and if all we're getting out of it is a new version of the handheld calculator, that's going to be a disaster, not to mention a giant missed opportunity.
Presumably you are paid to do something more than build Excel models. If all AI does is make your life in Excel a little easier, then it isn't even as impactful as Excel itself! And if it isn't replacing your primary job function, which is to think, then what is the transformative impact?
Work at large MMHF
does like 30-60% of my daily workflow, depending on the day. Model updates, scenario modelling etc all done by AI
Have it compile stuff which I still manually read and make judgements on
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