Product tours are almost always a trap because everyone just looks for the skip button immediately.

We noticed the same thing with our setup asking users to fill out empty forms right after sign-up killed our conversion rate.

Switching to dummy data and pre-built templates made a huge difference because users could instantly see what the end result looks like without spending ten minutes configuring settings.

Do you give new sign-ups sample project data right out of the box?

Spent a month adding tooltips and progress bars to smooth out our onboarding but support messages actually went up.

Turns out people weren't confused about where to click. They were just scared of accidentally sending emails or deleting client data without knowing what would happen next.

Once we changed the UI text to clearly explain the final result of each button click support requests dropped by half.

Has anyone else noticed that reassuring users about outcomes matters more than guiding their clicks?

We used to lose hard on vendor pricing because we went in with no alternatives.

Bluffs never worked for us, and vendors could easily tell when we were stuck.

Autonomous AI agents can already browse websites, call APIs, use external tools, and complete tasks with limited human involvement.

Payments are still a major interruption. When an agent encounters paid data, an API limit, or premium content, it usually has to stop and ask a person to complete the transaction.

I m curious how makers think this should work in practice.

Should an agent:

Last time I wrote about why one line of code needed an SDK. It ended on a small rule: a missing field comes back undefined, never 0, because a 0 looks like a real number. I'd love to say I came up with that rule by being clever. I came up with it after my own dashboard showed $0 on 176 requests that weren't free.

An integration sent its requests with the provider set to "gemini". My price table filed those models under "google". The lookup found nothing, so the cost was stored as $0 and the status as Success. Nothing logged an error, because as far as the code knew, nothing had gone wrong. Cost is calculated once, when a request lands, so adding the missing price afterwards didn't touch those rows either. They stayed at zero.

(Quick confession for anyone keeping score: before this, I'd have told you the scary bug in a cost tool is overcharging. I had it the wrong way round.)

An overcharge is loud. Someone sees a number that's too high and asks why. A zero is quiet. Your total comes out lower than reality, a feature looks cheaper than it is, and you find out when the provider's invoice disagrees with your dashboard.

building a local multi-agent setup right now and keep hitting state synchronization issues between steps. tried a few simple python async loops but it gets messy fast.

curious what other developers here use for testing agent loops locally without hammering external APIs every time?

I'm interested to hear what everyone has to say about this! Especially in tech, the world and people's needs are constantly changing. This means that the products we're creating have to change with it, and the most successful products tell people what they need before they know they need it. As exciting as this is, it's super hard too. Reaching out to fellow trailblazers: what do you think about this? What are some of the tradeoffs?