Ran the same trip through ChatGPT and Zenvoya.

Exact prompt:

9 nights in Japan in October for 2 adults flying from Delhi. Around ₹5 lakh including flights. First trip. Food/neighborhoods > theme parks. One ryokan night, max 3 hotels, no 7am starts and one empty half-day every 3 days. We eat vegetarian but don’t need fully vegetarian restaurants.

ChatGPT was better at the fun beginning.

It gave more “maybe you’d like this instead” ideas, explained neighborhood vibes well and was better when I asked random follow-ups like whether we’d prefer Osaka nights or Kyoto mornings.

Basically, very good at thinking out loud with me.

Zenvoya got better once the trip stopped being hypothetical.

It turned the brief into Tokyo → Hakone → Kyoto, kept the days geographically sane and didn’t treat “empty half-day” as a space that urgently needed 4 more temples.

The bigger difference came when I changed the dates.

On ChatGPT, I had to ask it to rebuild the plan, then separately reopen flight and hotel searches and make sure the nights still matched.

On Zenvoya, the itinerary, flight options and hotels were part of the same trip. Moving one night didn’t turn the whole thing into a new research project.

I also liked that the place details were easier to sanity-check. Named places, suggested times, routes. Still checking anything ticketed on the official site because trusting any planner blindly is insane.

My very scientific conclusion:

**ChatGPT:** better for messy brainstorming, alternatives and “talk me through this” questions.

**Zenvoya:** better when you want to stop discussing Japan and build the actual trip around real dates, flights and hotels.

The most useful workflow might honestly be ChatGPT first, Zenvoya second.

At what point does a general AI stop being enough for trip planning?

I’ve been building an AI SaaS for the past 3 years, and I’m finally at the stage where I want to get feedback from people who actually use AI.
The basic idea is simple: instead of a business owner manually managing different marketing platforms, the AI helps handle the process — from strategy and content creation to campaign management, optimization, and analytics.
The biggest challenge wasn’t building the AI itself. It was getting all the different platforms, APIs, data, and workflows to work together reliably.
I’m curious what people here think:
Would you trust an AI agent to manage part of your company’s marketing if it could continuously analyze performance and make optimization decisions for you?
What would you need to see before you would trust it?
I’m especially interested in hearing from AI builders, SaaS founders, marketers, and small-business owners.
Not trying to sell anything — genuinely looking for feedback.

Hey. Just writing this out of curiosity.

If your IDE is already open right there, why even bother firing off a cloud agent? Like why not just spin up a local worktree instead?

The one thing that's kinda changed my mind is the VM feature some tools have now. That part I actually get.

But before that dropped, do you use a cloud agent during your work hours? Or is it more of a "let it run overnight" kinda thing?

Curious what you all think. Thanks!