u/ybur01

Now a lot of my protocols are AI based, being honest with myself about the value that only an actual doctor can bring to the equation

Manual citation tracking seems like a good idea until you go beyond a sample size in the catalog, in which case it becomes impossible due to lack of scalability, which is not due to an incorrect principle but to the fact that the source layer does not have a limit, including review aggregators, affiliate websites, media mentions from two years ago, third party listickes, everything that can influence what ChatGPT decides to show at any point in time.

And even worse, the attribution wall is an issue. The absence of conversation data renders citation frequency useless, being nothing but a statistic.

Is it possible to have SKU-level AI citation tracking without implementing a complete system by yourself?

The problem with shipping is that it exists in this weird gray area where it is approved by finance when looking at things in an aggregate sense but is never really looked at when it comes to the individual shipments; the monthly bill from FedEx/UPS arrives and gets paid out as is

And that difference could amount to quite a bit of money over time since it is very difficult to know what kind of surcharges are being charged, if there are any service failures, and whether the agreed rates were properly adhere to

There is another angle as well, finance typically doesn't know if the rates are even competitively priced in the first place so the discrepancy is not only the mistakes made in the billing, but also the fact that the rates should have been benchmarked and renegotiated month ago

For companies paying hundreds of thousands of dollars for parcel shipping annually, this is not something to be glossed over or ignored

At how any jobs will the home remodeling software save time versus creating extra work for me?

I am doing 6-8 jobs a month and the estimate and invoice are where I waste the most time because I have to manually reconcile the changes in the scope of the job and by the time I bill I'm comparing two documents.

The job history would be the other one because it all sits in a note-taking application and in the texts that were send and when my customer asks something about a few months back it takes me 10 minutes of searching in the wrong place.

Not sure if software will help or just organize it better

Visual E2E label encompasses tools which fail in a very different way. The question we need to ask here isn't what we call those tools, but why exactly do they fail.

Tools that fail when application structure is changed:

Firebase App Testing Agent: path explorer going through accessibility nodes, screenshot of crash on failure, obviously to what is actually presented to a user

Maestro AI: YAML language cleaner than Appium, yet still bound to the component tree below, UI changes will break the flow even if the code of tests is well written

Tools that fail only if the screen itself is changed:

There are no attempts at reading the component tree, there are no bindings to accessibility nodes the change in class name or component hierarchy does not influence the test unless something visible to user is changed autosana belong to the latter group, the tool runs flows directly against the screen layer

Partners who join the launch vector program will get access to a portal where they can monitor their brand's performance, which helps to set up a standard of transparency that very few companies in ecommerce have been able to match, and post commitment transparency remains one of the most underemphasised criteria in evaluating alternative investments since the sales pitch is always perfect but what investors get to see afterward when they commit money is where all moderns fail.

Minimum requirement should be having visibility to know how your assets are performing.

Insurance covered nothing for me and I've made peace with paying out of pocket. What I'm trying to figure out is whether the pricing I'm seeing is going to hold or whether I should expect it to change as FDA enforcement and supply situations keep evolving.

Currently I'm paying around $150/month for compounded tirz. Six months ago from what I can find in old threads the same thing was slightly cheaper. I understand prices can shift but I'm trying to understand whether this is likely to stay roughly stable or whether there are known reasons to expect a significant change in either direction.

If you could go back to day one of your startup journey and give yourself a single piece of advice, what would it be? It could be about fundraising, hiring, product development, customer acquisition, co-founders, or time management. I’m interested in lessons that only became obvious after making mistakes and spending real time building. What is something you wish someone had told you earlier?