Philo Hermans

This is a first, app dev straight up copying our name for some free app store juice. Ridiculous.

I’m so stoked about this 😄 I’ve been building this day in, day out, and it’s almost ready. It’s completely transformed how I work. What if you could manage all your agents across all your devices, initiate isolated worktrees that are automatically set up, and access every project from your browser as if you were on your own machine? The new Prompt Central + iOS companion drops soon. Watch the video below 😎

Laravel Prompts v0.3.15 is out! A ton of new primitives came out of building the Cloud CLI (+ some unreleased stuff 👀), so we decided to bake them in Prompts itself. Let's start with `task()`: Run long processes with a live-updating spinner, scrolling log output, and stable success, warning, and error messages that stick around. Update the label as the task progresses. 🧵

I’m so stoked about this 😄 I’ve been building this day in, day out, and it’s almost ready. It’s completely transformed how I work. What if you could manage all your agents across all your devices, initiate isolated worktrees that are automatically set up, and access every project from your browser as if you were on your own machine? The new Prompt Central + iOS companion drops soon. Watch the video below 😎

New Harvard Business Review research reveals that excessive interaction with AI is causing a specific type of mental exhaustion ( or AI brain fry), which is particularly hitting high performers who use the tech to push past their normal limits. A survey of 1,500 workers reveals that AI is intensifying workloads rather than reducing them, leading to a new form of mental fog. While AI is generally supposed to lighten the load, it often forces users into constant task-switching and intense oversight that actually clutters the mind. This mental static happens because you aren't just doing your job anymore; you are managing multiple digital agents and double-checking their work, which creates a massive cognitive burden. The study found that 14% of full-time workers already feel this fog, with the highest impact seen in technical fields like software development, IT, and finance. High oversight is the biggest culprit, as supervising multiple AI outputs leads to a 12% increase in mental fatigue and a 33% jump in decision fatigue. This isn't just a personal health issue; it directly impacts companies because exhausted employees are 10% more likely to quit. For massive firms worth many B, this decision paralysis can lead to millions of dollars in lost value due to poor choices or total inaction. Essentially, we are working harder to manage our tools than we are to solve the actual problems they were meant to fix. --- hbr .org/2026/03/when-using-ai-leads-to-brain-fry

OK, well. I ran /autoresearch on the the liquid codebase. 53% faster combined parse+render time, 61% fewer object allocations. This is probably somewhat overfit, but there are absolutely amazing ideas in this.

I guess this is going to be the new normal 😂 Going about my day, just checking Prompt Central on the go if all my agents are alive and kicking. The iOS app is in review, so hopefully, available soon 🤞🏻