... owns the outcome when the recommendation came from a model? Comment from Pranay(@pranay19): I disagree my view is AI will make decision making easier , assuming it can collect the entire context and give you a summary ! Comment from Tal Elor(@tal

... agents built before breakfast post, it s time to also ask: what is the human cost of maintaining all of it? what should we actually optimize for? Token efficiency, or human understanding? Comment from Gaurav Henry(@daddygator):   @tal_elor  I had this debate with a CEO friend who was relentlessly pushing his team to maximize token usage. His reasoning was interesting: before you can optimize quality, you need to overcome inertia. Most teams are still underusing AI because ... ... work as a temporary forcing function to build the habit of experimentation. The end goal is not more tokens. It is discovering which workflows produce real leverage, then measuring quality, speed, and maintainability. Comment from Gaurav Henry(@daddygator): @tal

... Every single week, my X feed and GitHub trending list tell me the same thing: the tech stack we chose ...

... that compliance teams actually trust What's your version? What are you hearing repeatedly from prospects that feels like the next obvious thing to build? Looking forward to some honest answers for this Comment from Nolan Vu(@nolan_vu): @tal_elor  I agree with your point. This is the conversation nobody wants to have after launch. Teams celebrate shipping the agent, then three months later someone asks "what did this actually change?" and the room goes quiet ... ... accurate. Curious what metrics you're using on your end to separate real value from activity that just looks productive? For my case, we usually rely on conversion or satisfaction rate from the clients to judge that Comment from Tal

... says the shift hits planning first. Humans can still manage release and development chaos, but if the assumptions embedded in AI-driven planning decisions aren't visible, everything downstream breaks before anyone notices. Comment from Tal Elor(@tal

... towards what should be the core focus instead. I have always believe in the saying saying, make what you can sell and not sell what you can make. Focus more on what the user wants instead. Comment from Tal Elor(@tal

... partial context. Have you felt that moment? When your product became too big to fully understand ? We think this is where new tools (like Athena) need to step in - not just to manage, but to reconstruct understanding. Comment from Tal Elor(@tal

... sharp feedback on: Does the product page make the value instantly clear? Is the OS story compelling, or should we simplify it further? Which part feels strongest: the fixed-price home, the solar layer, or the finance layer? Tal & Ayala Click. Deliver. Done. Comment from Prince Kumar (@prince__kumar): The fixed-price home + built-in solar is the strongest hook that immediately solves two big homeowner headaches. You might highlight that benefit even earlier on the product page ... ... concept is interesting, but simplifying the story around buying a home as easily as buying a product online could make the value clearer faster. Comment from Tal

... Product Hunt community! I m Tal Dahahani. If you google my last name, you ll find steaks and burgers. I m the 4th generation of a massive meat brand family "Baladi" from ISRAEL. My path was set: run the factory, manage logistics, sell meat. But I saw a huge problem. We were spending a fortune on outdated TV commercials. So, I took a sharp turn. Instead of optimizing the slaughterhouse, I decided to optimize creativity. I built Adarena to help ...

... profile and nickname was a nightmare so many errors. And without karma, I can t even leave a comment! Honestly, it was really frustrating. But since so many people recommend Reddit, I ll keep trying. Comment from Tal Elor(@tal

... Hi founders, Does your product keep facing repeating production environment bugs? If so, I would like to meet you for ...