Do travel assistant services actually help when things go wrong?

I’m 32, based in Amsterdam and work remotely, so I end up flying around Europe fairly often for client meetings. A few months ago I had one of those travel days where everything went wrong. My train from Lisbon was delayed and then cancelled, I reached the airport too late for check in and I had to book another flight and rearrange a meeting in Amsterdam. Nothing catastrophic, just a lot of unnecessary stress. Since then I’ve been looking at travel-assistant services that offer things like itinerary reminders, flight updates, help with disruptions and other travel related support. My trip online was one of the services I came across while comparing them, along with a couple of others. The part I’m unsure about is what actually happens when there’s a real problem. Getting a reminder about a flight is useful but the bigger question is whether these services can genuinely help with cancellations, rescheduling, refunds or changes, or whether they ultimately just send you back to the airline. I’m also curious whether people find the extra features genuinely useful or whether most of them are things you can already handle yourself through the airline’s app. I’m not looking to promote any particular service. I’m more curious about whether having this kind of service has actually made travel easier for frequent travelers.

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u/Ok-Cat-2052 — 3 days ago

Stop testing new AI models with random prompts

Every week another model drops and people rush to test it with some random prompt they just thought of.

then they argue online about if its actually better. you can't compare anything like that.

I stopped chasing releases and made a fixed prompt pack. same scenarios, same prompts, same scoring rubric every time.

the compact version looks something like this:

character consistency: same character in 3 scenes: front-facing portrait, walking shot, emotional close-up

product shot: one object on a clean background, then the same object in an ad-style scene

text rendering: simple poster with 3-5 words, high contrast, no extra decoration

camera motion: one subject, clear movement direction, slow push-in, pan, tracking shot

complex action: two subjects interacting, hand movement, object exchange, or fast body motion

emotion shift: neutral expression → surprise, fear, relief, with visible facial change

I score each run on prompt adherence, subject consistency, motion control, text accuracy, and usable output rate. not just “does it look cool.”

I just had Codex write a small Python script for this: read the prompt pack, call an API layer like Atlas Cloud, poll the async image/video jobs, and log outputs + scores to a CSV.

After that, testing a new model was basically just changing the model name and rerunning the same pack.

Build the test once. run it on everything.

Still refining the pack though. what scenario would you add to catch weak models faster?

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u/Ok-Cat-2052 — 1 month ago

5kg haul of simple pieces (w fitpic 😜)

links for broskis:

AC T-shirt: https://weidian.com/item.html?itemID=7739297298

Chrome Hearts T-shirt: https://weidian.com/item.html?itemID=7809154670

Loewe T-shirt: https://weidian.com/item.html?itemID=7510737343

SP5 T-shirt: https://weidian.com/item.html?itemID=7739368094

AMI Short-sleeved T-shirt: https://weidian.com/item.html?itemID=7783063338

LV Suit: https://weidian.com/item.html?itemID=7799619234

AMI Shorts: https://weidian.com/item.html?itemID=7782616440

Hellstar Shorts: https://weidian.com/item.html?itemID=7509345191

Ralph Lauren Pocket Shorts: https://weidian.com/item.html?itemID=7711747199

Small summer haul through Superbuy. The ordering process was straightforward, QC photos arrived quickly and everything was packed properly. Overall, most pieces fit true to size and looked close to the listing photos.

AC T-shirt

• Thick material with a slightly oversized fit

• Print feels properly pressed and not rubbery

• Neckline sits tight without feeling uncomfortable

• 8.5/10

Chrome Hearts T-shirt

• Washed black colour looks natural in person

• Back print placement is centred and sharp

• Sleeves are slightly wider than a regular tee

• 9/10

Loewe T-shirt

• Soft lightweight fabric, good for hot weather

• Logo embroidery is small and neatly finished

• Fits relaxed, but not excessively oversized

• 8/10

SP5 T-shirt

• Graphic colours stand out without looking too bright

• Cotton feels smooth and has a decent weight

• Boxy cut works well with baggy jeans or shorts

• 8.5/10

AMI Short-sleeved T-shirt

• Simple everyday piece with a clean chest logo

• Fabric drapes nicely instead of looking stiff

• True to size with a normal relaxed fit

• 8/10

LV Suit

• Matching set looks much better when worn together

• Pattern alignment and overall finishing are clean

• Comfortable fit with enough room for movement

• 9/10

AMI Shorts

• Comfortable waistband with useful drawstrings

• Logo stitching looks tidy and properly positioned

• Length sits nicely above the knee

• 8.5/10

Hellstar Shorts

• Print has a faded vintage-style finish

• Material is comfortable but slightly thinner than expected

• Loose fit makes them good for everyday wear

• 7.5/10

Ralph Lauren Pocket Shorts

• Clean casual shape with practical pockets

• Material feels breathable and holds its form well

• Easy pair to wear with polos, shirts or basic tees

• 8/10

Shipping was handled smoothly by Superbuy and the parcel arrived securely packed. Feel free to comment for sizing help.

u/Ok-Cat-2052 — 1 month ago

Got my first real user, then realized I had no idea what my AI-coded app was doing

I got my first real user and did the very normal founder thing. Panicked at 2am and started reading code I barely understood.

the app was mostly vibe-coded. It worked in demos. It looked real enough. I kept telling myself I would review it before anyone important touched it.

Then someone actually touched it.

The Claude Code hidden tracker story made the panic worse. If a trusted coding tool can ship obfuscated logic that checks timezone and proxy signals, then “the tool probably handled it” is not a security plan.

I found code that was not obviously evil, just hard to explain fast. env checks, broad fetches, helper scripts I did not remember asking for, and auth logic that looked fine until I tried the user A changes an ID and sees user B data test.

Codex helped with a first pass, but I still had to grep by hand becuase the risky bits were not always where the agent looked. I also tried Enter Code for checkpoints and sub-agent handoffs during the audit. Disclosure, I know the team. Rewind was boring in the best way after I trashed three files.

What is your minimum audit before a real user can touch the app

u/Ok-Cat-2052 — 1 month ago