u/ParvisOp6666

I knew it before also just a rant

https://preview.redd.it/04igf7nqezih1.png?width=1288&format=png&auto=webp&s=75af4d5784617b883d15ee3660de15f9b2039f72

Keeping an eye on DLF Privana for a while now and have seen mixed opinions online as some mentioned issues like the reported sales numbers, how the water management system handled heavy rains, and the progress on promised facilities like the clubhouse but not sure how accurate these discussions are so wanted to get feedback from people who have firsthand experience.

Are these concerns valid or do they not reflect the actual situation on the ground

I thought AI course recommendations would be another something like people also enrolled in... thing and after trying a few platforms like Elearnamrkets, SpringPad AI I noticed some are recommending what to learn next based on your goals and not just showing the most popular courses.
It felt way more helpful than scrolling through endless options on Coursera, Udemy or YouTube.

I woiuld say still not perfect but definitely saved me time wondering where to start but surely gives a start to start.

K 2s mila

I've been looking into different ways to make my AI workflow better and I've noticed that many courses focus a lot on showing tools but don’t spend enough time explaining why certain prompts work so checked out a few resources like DeepLearning.AI, community tutorials and the Be10x AI course and the main difference wasn’t how many tools were covered.

The most helpful content focused on like understanding why certain prompts are effective and creating consistent workflows instead of just using one-time tricks

A lot of beginner material teaches "prompt formulas" but the real challenge is knowing how to adjust them for different situations.

For you guys what helped you improve the most structured courses, experimenting on your own, working on projects?

I noticed that many AI courses now follow a same approach that claim to offer lots of tools, tons of prompts and ways to boost productivity by 10 times.

After checking out several resources like DeepLearning.AI, Udemy courses, YouTube tutorials and the Be10x AI course I think the main difference isn’t how many tools they cover and ones that actually work seem to focus on like teaching the basics first before moving on to more complex stuff and showing real life examples instead of just showing off tools

Some paid courses can be a bit pushy in their marketing but that doesn’t mean the actual content isn’t useful. If anybody has taken an AI course before what made it worth your time?

I am seeing more AIpowered investing tools come out nowadays and mostly help summarize company details others help with screening and a few aim to make financial research simpler.

As I checked out a few platforms like Screener, Tickertape and SpringPad AI I began to wonder if AI is actually making the investment research process better or if it’s just making it easier to digest existing information.

If you’ve used AI tools for investing What was one thing that AI genuinely helped you with? Did it save you time during your research or help you understand a company better? Are there areas where traditional methods still work better?

I’ve always thought about how many good candidates are turned away just because there wasn’t a job opening right then. A candidate might not be the right fit today but could be perfect for a role that comes up next month.

I’ve seen platforms like LinkedIn, MeeBoss, Paradox focus more on keeping in touch with candidates over time rather than just handling one application. It made me wonder if hiring should be more about building relationships instead of just filling vacancies.

Do you have a way to stay in touch with candidates who were close to getting hired or do they usually get lost in the ATS and never hear from you again?

Everyone focuses on the interview questions and technical tests but I'm interested in what happens before any of that. Before you've even talked to a candidate is there one thing that makes you think like “This person is a good fit to interview"?

I’ve also seen some hiring platforms trying out more chat based or conversational approaches instead of just relying on resumes. I wonder if these early chats reveal more about a candidate than a CV ever could. It could be how they introduce themselves, the questions they ask, the quality of their work samples.

For experienced recruiters what’s an early positive signal that usually indicates a strong candidate?