whenever i give an agent write access i keep the riskiest action behind a separate check it cant talk its way past, because a prompt injected request looks exactly like a normal one. routing is plain code, the llm only writes the message. where do you draw the line, payments, sending emails, db writes?
I got to the point when I need to hear your inspirational stories. Trying to force myself into coding. Are there existing such cases that you love only front-end/back-end more?
I'm planning a launch but I'm more curious about what happens after the launch day ends. Everyone talks about the first 2 hours, the upvotes, the maker comment. Nobody talks about day 2, day 3, day 7. Does traffic keep coming do signups convert or does it all drop to zero?
My suspicion is that most launches are a one day spike and the real work starts after but I don't have the data to prove it.
So for those who've launched: did your Product Hunt launch contribute anything to growth after the first 48 hours? And the harder follow-up: if you launched again what would you do differently for the week after launch day not the day itself?
I have tried several ways to promote my product, but distribution has been much hareder than building it.
product hunt is the only channel where I've found meaningful visibility so far. Reddit has been difficult because self promotional posts are often removed, and I don't want to spam communities where the product isn't genuinely relevant.
Last week I forced myself to use a single tool for notes, tasks, and bookmarks. No switching, no "best tool for each job," just one. I got more done in 7 days than I usually do in 10 bcz the switching cost was gone and the mental shift between apps was gone. The tool wasn't perfect at any single thing but it was good enough at all of them.
What surprised me was how much of my previous "productivity" was actually just reorganizing between tools. Moving a task from one app to another felt like work, but it wasn't.
So for those who've tried consolidating: did the one tool approach actually stick or did you go back to best of breed? And the harder question: if you went back was it bcz the tool failed or because you missed the feeling of switching?
I'm signed into 19 Google accounts on this Mac. Most are for different projects, a few are family. Chrome profiles handle it, but every profile is its own window, and at 19 that gets messy fast.
For a while I used Sidekick, which kept each app in its own container, so two accounts of the same service could sit open side by side. Then it shut down.
What are you using for this now? Chrome profiles, a separate browser per account, containers, something else?
We're drowning in dashboards. Impressions, click-throughs, followers, reach, saves, shares but not all things are equal. Telling, is there a metric you're meant to be keen on, yet in actuality, you're not? Maybe you: Don't care about likes but are ridiculously fixated on replies Track shares but never take the time to check reach Are concerned about DMs only because that's where the magic happens We're building a social tool on the social web and taking a lot of time deliberating about what's truly important, and what just looks good on a chart. Would be great to hear your own opinion regarding what you're paying attention to (and what you're not).
I ve been testing a safety check for an AI app by running a script of test messages many times against the model. Every run was fine until it wasn t: after a day of repeated runs, calls started failing with 429 errors, and waiting 60 seconds between retries stopped helping.
I assumed the limit was per minute. It wasn t. On the free plan for the model I use, the limits are 30 requests a minute, 1,000 requests a day, 8,000 tokens a minute and 200,000 tokens a day. I believe I hit the daily cap, because the app itself also stopped generating responses at the same time. My tests and the app share one account, so they share one budget.
What I m changing: run tests in small batches, never repeat full runs, and plan a backup provider so a quota problem doesn t become an outage.
How do you keep testing from eating your production quota? Separate accounts, a cheaper model for tests, or something else?
