Someone built an automation with ChatGPT that actually works. Not a showcase, not a tutorial project dressed up as productivity — something with a real job to do, wired up carefully enough that they came to depend on it. Then, somewhere between the build and the daily use, reality arrived with its usual timing: the whole thing only runs while the laptop is open. Close the lid, kill the session, walk away from the desk — the automation dies with it. The post surfaced April 8th, and the specific texture of the frustration in it is worth noting. This is not someone who built something and found it underwhelming. This is someone who built something good and then discovered the floor it was standing on.
If confirmed, here is what this means. The gap between "I automated this with AI" and "I have an AI-powered system" is wider than most people building these workflows currently appreciate — and that gap is infrastructure. ChatGPT sessions don't persist the way a server does. Automations stitched together through browser sessions or local scripts inherit all the fragility of the device running them. The person who built this isn't the edge case; they are the representative case. Thousands of people are building genuinely useful things on top of AI tools right now, and most of them will hit this same wall the moment they try to let the thing run without supervision. The second-order effect is subtler: it shapes what people believe AI can do for them. If your first real automation works brilliantly until you close your laptop, you don't conclude that you need a different architecture — you conclude that AI automations are unreliable. That perception problem compounds quickly.
Watch for follow-up posts from the same user, or similar threads describing workarounds — cloud-based runners, always-on machines, API-native rewrites — which would signal that this is becoming a recognisable class of problem rather than a single frustrated moment.
<!-- SC_OFF --><div class="md"><p>I hooked it up to my home automation system and it actually writes pretty decent scripts to control my smart lights. Anyone else found creative
<!-- SC_OFF --><div class="md"><p>keeping it short, i was annoyed at my own AI workflow. same grunt work with prompts multiple times a day so i built a small wrapper around GPT
<table> <tr><td> <a href="https://www.reddit.com/r/ChatGPT/comments/1t6bj8o/i_used_chatgpt_to_build_an_entire_brand_in_one/"> <img alt="I used ChatGPT to build an entire brand in
<!-- SC_OFF --><div class="md"><p>What's the smallest desktop task you'd trust AI to handle?We always talk about AI writing novels or coding entire apps, but honestly? I’ve found
<!-- SC_OFF --><div class="md"><p>Kept hitting the same wall with Claude Code: kick off a task, step away, come back to either a stalled terminal or the same failure looping five
<!-- SC_OFF --><div class="md"><p>Not gonna lie, I think I’ve gotten a little too used to it. Like before, if I got stuck on something, I’d just sit there and figure it out
<table> <tr><td> <a href="https://www.reddit.com/r/OpenAI/comments/1s7p7ky/sora_is_shutting_down_openais_backup_is_a_full/"> <img alt="Sora is shutting down. OpenAI's 'backup' is
<!-- SC_OFF --><div class="md"><p>I’m building a self-hosted n8n/Docker automation, and one thing I changed after getting a working v2.0.8 state was how much freedom I give
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