Many products start as experiments built at night or on weekends.

At first, there s no pressure just curiosity and momentum.

But at some point, expectations creep in: users, revenue goals, support, roadmap decisions.

been testing multi-agent setups with tools like cursor and claudecode recently. they were great early on, but giving them more autonomy seems to backfire.

instead of sticking to the main task, they end up hunting down tiny bugs or adding unnecessary code tweaks that just drain hours in loops.

is this just a prompt control issue or are agents hitting a limit with complex context?

I ve noticed that if my instructions leave even a tiny bit of room for interpretation, the agent immediately invents new tasks for itself.

Instead of finishing the main feature, it gets sidetracked optimizing imports and renaming variables.

For daily agent builders, are you using specific rules files, system prompts, or just strict file scoping?

I've been using AI for the last 3 months to generate images, code snippets, and ideas for small projects. It's super fast, but I noticed I m starting to prompt instead of thinking from scratch, and my own ideas feel less original.

For those of you who build products with AI tools every day has AI made you personally more creative or less creative? Do you have any rule you follow to make sure you still think for yourself and not just copy what AI gives you?

You don t really read it, and now it has to be reviewed by your colleagues, and they are like, this doesn t look right,'
You re just letting AI do the work for you.
The words of Shopify's CEO.
So how do you tackle it? Anything that is working on your end?

The users who email you angry or leave detailed feedback are actually doing you a favor even if it hurts. You can learn from them.

The real ghosts are the ones who quietly downgrade cancel via the billing portal, and ignore every single automated exit survey you send. You're left staring at a dashboard with zero qualitative context on why they left.

For SaaS builders: what creative strategies or prompts actually get silent churners to tell you what went wrong?

Let s be honest : everyone who launches on Product Hunt dreams (a little or a lot) of hitting the top of the daily leaderboard.

But let s put the trophy aside for a moment.

It's way too easy to get stuck in an endless loop of polishing your product because perfection feels safe. You keep telling yourself that the next UI update or feature tweak is what's going to make the difference, while the actual core problem sits untouched. I delayed a simple launch for a month just because I wanted the onboarding screens to look like a big tech company's. How do you force yourself to ship the messy version instead of waiting for it to be completely spotless?

Every time I ask for a simple bug patch the agent feels the need to reorganize half the directory and refactor utilities that weren't even broken.

It s like giving an over-enthusiastic intern a screwdriver and coming back to find they took apart the engine.

For those using Cursor or local agents daily, what s your go-to way to lock down scope and keep them strictly on task?

Early on whenever a paying user asked for a specific feature, my immediate reaction was to build it to keep them happy. Our roadmap became a messy patchwork quilt of random requests.

Eventually, I realized those feature requests were often band-aids covering up a confusing core UX or a deeper workflow mismatch. Building what they asked for didn't even stop them from churning later.

For founders managing small teams: how do you filter out the noise of individual feature requests and stick to your core product vision?