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Cool angle. The part I would stress in the UX is not "make a nicer itinerary" but "make the last mile falsifiable."

For travel plans, the failure cases I see are: (1) a park alert or road closure that invalidates the route, (2) permits/timed entries where AI sounds confident but does not reserve anything, (3) weekly/seasonal closures, (4) place names that resolve to the wrong location, and (5) days that look pretty but require hours of backtracking.

If your tool can show a red/yellow "needs real check" layer next to each stop, that is more trustworthy than a polished AI day plan. I work on a related validator for city itineraries, Tripsapien (https://www.tripsapien.com), and the highest-value signal is always date-specific validation: is this actual place open/bookable on my exact travel dates? For national parks, alerts/permits/weather are the equivalent moat.


Thanks - "stale reality" is exactly the right phrase. The model doesn’t know a cafe closed in 2023, doesn’t know it’s Wed-Sat only, doesn’t know a public holiday lands on day 3 of your trip. So the whole app is: let the LLM do parsing, let real APIs do the facts, check each place against the user’s actual dates. Boring underneath, useful on top.


[Web] [Free] Built ValidaTrip because ChatGPT planned me a day at a museum that closed in 2023 — paste your itinerary, get back what's actually open
BERJAYA
r/alphaandbetausers
[Web] [Free] Built ValidaTrip because ChatGPT planned me a day at a museum that closed in 2023 — paste your itinerary, get back what's actually open

What it does: paste any travel itinerary (ChatGPT dump, Gemini, blog listicle, a friend's text), get back the real venues with opening hours checked against your actual trip dates. Flags permanently-closed places, weekly closures that fall on your dates, country-specific public holidays, and what needs booking ahead. Map view + a Neighborhoods tab that groups stops by district so you can see if a day actually clusters or you're criss-crossing the city.

Link: https://www.validatrip.com

No account needed, free, no email gate — just paste and validate.

What I'd love feedback on:
- The parser. Turning messy pasted text into clean deduped places is the hard part — most fragile on mixed-language venue names and places mentioned only by neighborhood.
- Whether the Neighborhoods tab is enough day-planning or you want an explicit day-by-day sequencer.
- Whatever you'd throw at it expecting it to break.

Easiest test: paste an old itinerary you actually used and see what it catches.

Happy to test someone else's back — drop yours in the comments.


Yeah, this is the one that bugs me most about ChatGPT itineraries — it'll cheerfully schedule 9am old town, 9:15am across the river like every transition is teleportation. ValidaTrip pins everything to a map and has a Neighborhoods tab that groups stops by district (density-sorted), so you can eyeball whether a day actually clusters or you're criss-crossing the city. It doesn't yet flag unrealistic time gaps explicitly — that's next on the list. Open to your worst example if you want to throw it at the parser.


Yeah this is exactly why it exists. Every place gets re-resolved against Google Places at validate time — the businessStatus flag handles the "closed in 2023" case, the per-day opening-hours check handles "dark on Mondays," and Nager.Date public holidays get cross-referenced against your trip dates (filtered to country-wide so you don't get a Cantabria fiesta on a Barcelona trip).

There's also a paste-text pass for things Google lags on. One of my test trips had Camp Nou listed as OPERATIONAL even though it's been under renovation through 2026 — the paste line said "under renovation through 2026", so paste beats Google there. Same for Buckingham State Rooms in June (summer opening only July–September).

The honest gap: small local spots where Google has no hours at all — those get a "check before going" rather than a false green light. Throw a messy dump at it if you have one, the parser is where it's most fragile.


ValidaTrip - paste your ChatGPT itinerary, get back only the places that are actually open
BERJAYA
r/SideProject
ValidaTrip - paste your ChatGPT itinerary, get back only the places that are actually open

Last fall I planned a trip mostly with ChatGPT. Tuesday morning, cafe #1: closed Tuesdays. Cafe #2: permanently closed since 2022 (GPT didn't know). Cafe #3: dinner only. Repeat for 4 days.

So I built https://www.validatrip.com.

You paste recs from anywhere - a ChatGPT itinerary, a Reddit thread, a blog post, a friend's text - and it:

  • Pulls the actual places out, dedupes them, sorts by type

  • Checks each one against your travel dates (weekly closures, permanent closures, holidays, seasonal stuff)

  • Groups your days by neighborhood so you're not zigzagging

  • Surfaces festivals and public holidays that overlap your trip

Free, no account, no email. Works on a phone.

Stack: Next.js, Supabase, Google Places, plus a small validation layer that stitches a few APIs together.

Solo project. The hardest part was getting "paste anything" to reliably pull out the actual places - would love feedback on that flow specifically if anyone has a chaotic itinerary to throw at it.


ValidaTrip - Fact-check your AI travel itinerary against your trip dates
BERJAYA
r/SideProject
ValidaTrip - Fact-check your AI travel itinerary against your trip dates

ChatGPT and travel blogs kept handing me confident day-by-day itineraries where a third of the stops were closed the day I'd actually be there, permanently shut, or needed booking I'd already missed. Verifying each one by hand was 30+ browser tabs per trip.

So I built ValidaTrip: paste any itinerary — a ChatGPT/Gemini dump, a blog listicle, a friend's text — and it pulls out the real venues and checks opening hours against your actual travel dates, flags closures and what needs booking ahead, and surfaces events/holidays during your window. Map view + Markdown/CSV export. No account needed to try it, and it's free.

https://www.validatrip.com

It's early and the parser (turning messy pasted text into clean, deduped places) is the hard part. I'd genuinely like feedback on what breaks it — what's the messiest itinerary you'd throw at it?


I’ve been experimenting with a small Flux Kontext Pro prank/art project called Prank My Face / FaceTwin: https://prankmyface.lol

The workflow is deliberately simple: one sender-supplied photo -> 3 fixed face-twin edits -> degrade the outputs so they look more like low-quality web photos than glossy AI portraits -> show them inside a serious-looking fake face-matcher -> reveal that no real search happened.

The interesting part has been UX, not the model call. If the page looks official enough, people often accept the “AI found your doppelgangers” premise for a beat, which makes it useful as both a friend prank and a tiny privacy-art critique about public photos and facial surveillance. I also packaged the flow as a tiny MCP server for AI-builder folks who want to inspect or call it from Claude/Codex: https://github.com/forrestmill-cmd/face-twin-mcp