most AI content is theater. it doesn't survive contact with real work.
i've shipped plenty of slop myself.
this page is for the people who build systems, run operations, and make key decisions from data.
if this is your world, follow along.
companies are capping or killing AI subscriptions. the bills are huge and most usage is non-productive code that never ships.
the answer isn't less AI. it's smarter usage:
• scripts only call AI for the parts that need judgment
• python handles the data, files, calculations (free)
• more output per dollar than ad-hoc usage ever delivers.
@_joe_harris_ Yeah the age of humanoids are just getting started and virtually have no presence in the United States relatively speaking. Only in fully integrated operations
@ItsElanaGold What I’ve mainly seen it there’s is only a small fraction of people generating productive outputs with AI. Those people however can be/are massive multipliers. Many are only saving minutes here and there where a select few are accelerating past
@cleanwithmike I like the concept but this is niche and only certain folks can execute this at a high level. I write scripts using Claude and python. You can learn that skill very quickly and it applies at most if not all businesses. Bonus if you are advanced at data analytics and processing
@benkellyone Go all in on scripting and data analysis/data set construction. Every business needs it and for the foreseeable future it will be extremely challenging to automate without a full scale erp system integrated with AI
@sanpellyenjoyer Depends how you utilize it. I don’t give it direct access to data and have been able to successfully use it to process data using scripting local to my computer. Connect if you want to learn more
@Star_Knight12 AI is replacing jobs quickly at larger corporations that are quick to adopt - often primarily tech companies like Facebook. What people don’t mention is the slow adoption in industries that don’t have as many dev/tech facing roles.
These are still super niche but expanding quickly. What I’ve seen is companies appointing leaders of AI that don’t actually yet know the use cases but may have past experience in the tech field.
These are key positions but some companies are not yet positioned to take advantage of the opportunities these can bring
@Av1dlive I think people need to realize AI isn’t just about replacing it’s also enabling you to tackle work with more complexity that was previously far more time consuming. It’s a much lower percentage of people than you think that are actually doing anything productive at this stage
@realEstateTrent Building parts of SaaS products, you often don’t need the entire thing and can build the parts you need
Fully automating complex reporting and portions of analysis
Using as a contract lawyer and building proposals/budgets
Using as an idea generation method
This is basically exactly what I do just different business. People don’t see the vision yet but you can custom build tools within your job as a far accelerated rate. What isn’t talked about is that you can also tackle projects you never thought capable. I find you can slate 5 decent size projects in a single week that would’ve been impossible prior.
@justbyte_ Everyone is focused on vibe coding. Look at real fundamental data and you will find way more dollar opportunity than these vibe coded apps. It can be used as a tool if it has a target result and a vessel for operating other pieces of business more efficiently
“We just hired a VP of AI who’s an expert”
When you hear this it’s hard to believe. Sure there are some experts out there but they don’t know everything. A majority of these people are experienced in tech but haven’t got their hands dirty with AI.
Take action on your own, we are still very early on.
most companies hand the AI initiative to someone who's never built with AI. six months in, there's a strategy deck and zero working use cases.
if you're closer to the data than they are, the case is yours to make.
• pick one specific inefficiency you already understand — start contained, not ambitious
• run the script on your actual data, with all of its inconsistencies. that's where it has to work
• show one person a real dollar figure. champions move faster than committees
the path forward isn't waiting for permission. it's the use case you build this week.
waiting for someone at your company to show you how AI fits your role? they don't know either. the people figuring this out are figuring it out by trying.
• the only way to learn what AI can do for your data is to point it at your data and see what comes back
• you'll be more useful in three weeks than the people still waiting in three months
• every script you build teaches you the next one. it compounds
i post examples here every week. follow if you want to see what real attempts look like.