... stop and ask" checkpoints into their agent workflows? Curious what triggers you've found useful. Comment from Marces William(@marces_wiliam): For me, trust is heavily tied to how long the "collaboration" has been going on, especially when the context is still pretty dynamic and the input can change over the course of months. Financials are less of a concern in that sense. But when it s just about quick iterations, like making a greeting card illustration from a personal ... ... irreversible actions like direct control over finances, sensitive health data, or private communications. For now, I see them more as decision-support systems, not decision-makers. Comment from Scott Davidson Jr.(@scott_davidson_jr): It depends on the context

... Claude just launched Claude Opus 4.6 . This is Claude s newest and most capable model so far. It s designed for deep reasoning, long-running agent workflows, and large codebases, with a 1M token context window in beta and stronger planning and code understanding. Curious to hear from the community. What are your expectations for Opus 4.6, and where do you plan to use it first? Comment from Bhavin Sheth(@allinonetools_net): Long context

... : ' Ever asked ChatGPT about "the login system" and watched it confidently mix up three different projects? That's memory bleed i.e. when your AI assistant can't separate your contexts. Your healthcare client's specs bleed into your fintech code. Your Python project gets Node.js suggestions from yesterday's conversation. Your personal writing style contaminates professional emails. The problem? Most AI memory systems are like throwing everything into one messy ... ... drawer. You end up: Re-explaining context

... Lately, I have been experimenting with how to feed context into GPT models more effectively. For example, when fine-tuning or working with larger context