... because: Probability is non-deterministic by definition. Models continuously drift as weights update and context accumulates. Instead of pretending we can turn probabilistic models into predictable binaries, production AI needs to focus on Constrained Reliability through Auditability. You need: Causal Lineage: Querying why an agent took a specific branch (walking execution trees, not just reading raw logs). State Snapshots: Isolating exact context windows to debug drift. Human-in-the-Loop Interceptions: Triggering governance before rogue actions hit production. Comment from ... ... uncertainty to engineering around it. LLMs are probabilistic systems, so reliability comes from making their behavior observable, traceable, and governable rather than forcing deterministic patterns on top. The missing layer is often the runtime substrate: capturing agent state, preserving causal

... often, though, is a simple a json prettier - especially now that so many of the top-ranking ones are cluttered with unnecessary features and ads. Comment from Joan Garcamo(@joan_garcamo): your second question made me think about how causally teams share snippets during debugging. A database sample or API payload can contain sensitive information even after obvious fields are removed. Maybe utility tools should include automatic redaction before processing pasted content. Comment from Oluwole Zacheus(@emmadagold): This ...

... recommend the right repos for your specific workflow per request, and those recommendations get more precise over time. Thank you for bringing this up. Comment from Vlad Polonskiy(@sandopolo): @gaspard_dupuich  100% agree, Gaspard. That's the causality of endless possibilities in action: what you're describing is the mental load that comes with more options to evaluate. A couple of things keep it from tipping into overload. Repos are sorted into categories, so it reads as navigation rather ...

... www.youtube.com/watch?v=VO7Ro1uF... 4 days left on AppSumo: https://appsumo.8odi.net/m4n0da What other questions can I answer? Eager to listen to your objections or concerns. Comment from Jason Scott(@jason_scott8): I think power users and causal users may view this very differently. Enthusiasts who constantly jump between ChatGPT, Claude, and other agents will immediately see the benefit. Newer users might not realize they have a context problem until they've lost the same information for the tenth time. Comment from ...

... works when the observability backend is down. A local SDK policy can reject the next action when spend, iteration count, or a repeated-tool fingerprint crosses a threshold, while queued traces continue feeding analysis. I d also carry one causal ID across every handoff so a single user request can be reconstructed across agents. Disclosure: I m Ege, co-founder/CEO of Atlantic in SF; we ve been wrestling with the same control-versus

... According to @RevenueCat 's State of Subscription Apps 2026 report, " hard paywalls convert 5x better than freemium, but with significantly wider variance." Day 35 download-to-paid, freemium vs. hard paywall Does access method impact download-to-paid conversion within 35 days? Quoting the report: Median D35 conversion sits at 10.7% for hard paywalls. Freemium is 2.1%. That gap alone should make you pause. But the more revealing part is the distribution. Hard paywall top decile apps approach 40% conversion ... ... from Chris Messina(@chrismessina): @david_martin_suarez  yes, you're right but I do wonder if a similar trend will migrate to desktop/web... Comment from Chris Messina(@chrismessina): @alexeyglukharev  which space are you in? Who are your competitors

... every person and every couple. There's no universal answer, just the one that fits your actual life. Thanks for reading! Comment from Joao Seabra(@joao_seabra): Not a bubble, it's a real pattern. But I think the causality is more complicated than it looks. I'm a founder with two kids under 5. My wife runs an international NGO and travels extensively. We're deep in it on both sides simultaneously, and I won't pretend ...

... plays a significant role in how products appear in Google search results. What surprised us was that AI assistants like ChatGPT were rarely citing Product Hunt in product recommendations. AI assistants such as ChatGPT and Gemini rely on reviews, alternative lists, and structured product information gathered across the web. Product Hunt is strong across all three. In theory, this should make Product Hunt a natural source for AI-driven product recommendations and comparisons. In practice, it was not happening ... ... many tools which systematically run prompts against several AI models daily, and measure visibility of a product within prompts. We're using a new tool called @Gauge . We chose because a) their citation tracking is more useful than the alternatives

... social media) ;) Comment from Nika(@busmark_w_nika): @andreitudor14  It was just noticing this phenomenon, because when I had a look at their website, they usually had the number above 500. But maybe that's not the causality. Comment from Nika(@busmark_w_nika): @byalexai   @felicitemoorman  I think that you can have followers, but you need to ask them to follow the website first :) Comment from Nika(@busmark_w_nika): @bradshannon  It was not for their ...

... Adam Cohen is the cofounder of @Weave , an engineering analytics company that helps teams go AI-first. Before Weave, he was head of operations and sales at education software firm Top Hat and VP of operations and revenue at @Causal , which was acquired by Lucanet in 2024. In sales, you always know exactly where you stand. In engineering, you don t. The sales leaderboard shows the top performers, the basement-dwellers, and everyone in between. At first, this is terrifying ... ... success and marketing, there was nothing. No leaderboard, no analytics, no tools like Gong. Without clear and meaningful metrics, career and company development became guesswork. I was talking about this with (my now-cofounder) Andrew, a founding engineer at Causal

... your take; I appreciate your input approach. Comment from Sean Hwang(@seanphwang): I resonate with that a lot! Not so long ago, I found myself re-reading written emails or texts dozens of times before sending them (even the causal ones) when in reality, it probably wasn't really that serious. Perfectionism wastes a lot of time. My fundamental mindset shift happened after experiencing what it's like to be a loser as a high school athlete. Instead of blaming ...