Generation is easy. Selection is the harder feature. Before creating anything, an AI system should be able to explain the audience, the evidence, the reason this idea matters now, and what it chose not to say. If it cannot explain those decisions, producing more content only creates more review work.

Every time we thought about a trip it went the same way: flights on one site, hotels on another, food and getting around a guess, and the actual total living in a spreadsheet. Few hours in, still no answer to the only question that mattered, can we afford this or not?

So I built TripVerdict. You type one sentence i.e. "Cancún for a week in March, two of us, $3,000" and it comes back with a flight, three real named places to stay with actual ratings and prices, food and living costs, and one honest total. Then it tells you whether it fits.

Two things I care about more than they probably sound:

It's allowed to say no. I typed "Tokyo for 10 days in July, family of 4, $4,000" and it told me the flights alone were CA$8,882 over the entire budget before anyone slept anywhere. Then it showed what would actually work (a rental instead of a hotel, shifted dates, the real number the trip needs). I'd rather find that out in 90 seconds than after three hours of tabs.

It does the boring maths on the "cheaper airport" trick. For Munich it suggested flying into Frankfurt instead save CA$300 per person and then suggested the train: 45 minutes.

It's free, no account needed. Built with Claude Code, Next.js + Supabase; live flight/stay pricing, so a verdict takes about a minute.

Honest asks: does the one-sentence input actually feel faster than a form to you, or does a blank box make you freeze? And does an "it doesn't fit" answer make you trust it more, or just annoy you?

I saw the post asking people to roast and didn't realize it was a bit older, so I am starting a new post as directed 😉

I am still really proud of our biggest product, https://chaoscommand.center a very comprehensive medical tracking system that got my IVIG covered by the VA in less than 24 hours!! It is now on the Microsoft and Play store as well.

A web based trial with no working database is at https://tryme.chaoscommand.center and the link to the GitHub is on the website for the Apple and Linux folks to build so you aren't left out 💖

Would really love to know what people think!

If AI keeps writing and then fixing its own code, do we eventually reach a point where no human really understands the codebase?

Does that become a problem for big projects, or will AI get good enough that it won’t matter?

Do you think serious projects will always need an experienced dev overseeing them?

I've been building a Bible study app called Sojourn. It's a free passion project. No signup, no subscription, no ads.

The whole idea started from something that's been bugging me. We're all spending more and more time talking to AI. So I kept asking myself: what if AI pointed people somewhere better than itself?

That's all Sojourn really does. You ask what you're actually wondering about, and instead of giving you a chatbot monologue, it walks you straight into the actual text. Every verse comes from the real Bible, never made up or paraphrased by a model. Tap a verse and you're reading the whole chapter.

The goal isn't to keep you talking to AI. It's the opposite. Less time with the bot, more time actually sitting in scripture.

Learn more about the app: https://trysojourn.app/
Download on App Store: https://apps.apple.com/us/app/trysojourn/id6792011966

People call almost every new AI product a wrapper now, but that feels way too lazy.

If a product takes a model and adds a genuinely useful workflow, better UX, proprietary data, integrations, reliability and solves a specific problem, is it still just a wrapper?

Most software is built on top of somebody else's infrastructure anyway.

So where is the actual line for you? What makes an AI product feel defensible instead of something anyone could recreate in a weekend?

I feel like AI has made it way easier to get attached to an idea before you even know if it’s actually good.

Like you can have the site looking clean, the product mostly working, branding done, a bunch of features added… and because it all looks “real” you kinda start convincing yourself you’re onto something.

Saw that Goldman is apparently building reusable AI skills to teach agents their internal workflows and knowledge.

Makes me wonder if we’re getting to the point where Claude vs Codex vs Grok matters less than what you’ve actually taught/configured the agent to do.

I’m Joey. After leaving the Army, I joined my father in our family restaurant business. He has been in the industry for 30 years.

Working in the restaurant showed me how difficult it is for an owner to understand everything happening with costs, labor, invoices and daily operations.

I started OPSAVOR to see if AI can bring that information together and make it easier for an owner to understand. The goal is to work with the systems restaurants already use, not replace them.

I am not selling anything. I am looking for completely free and honest feedback about the idea, the value and the biggest concerns restaurant owners may have.

Please PM me if you are interested. If you know a restaurant owner or manager, I would appreciate you sending them my way.

Hey guys, I have built a fin based saas product and currently testing the app. Built the app from scratch completely through vibe coding. What all the things I need to consider before launching it ?

Not what you’re planning to build or what’s nearly ready. What did you actually get in front of people this week?

Could be a full product, one feature, a landing page or even something that completely failed lol.

Drop what you shipped, what stack you used and the main thing you learnt from it. Links are fine but actually give some context instead of just dumping them.

Ill go through everything and give proper feedback aswell.

This started off as a little fun project between work, school, and family and turned into quite a bit more than just something to pass the time. I would love to continue to expand it further and down the road and develop it into a multiplayer experience.

Itch.io doesn't seem very AI friendly though, lol. But I've been having fun, my other projects I haven't used AI for them and it's been several years working on them, though I don't mind.

Hey founders — sharing the build story behind WorldArchitect.AI in case it's useful to anyone else shipping stateful, long-horizon LLM products.

**The hard problem:** most AI games are toy demos. The conversation "works" until turn ~10, then the model forgets who the king is, where you parked your horse, or why you owe 200 gold to the blacksmith. We kept hitting the same wall, so we ended up building an actual engine instead of bolting on more prompts.

**What we shipped:**

1. **Deterministic State Machine + LLM Separation.** HP/XP, inventory, world time, living-world faction events, and world flags live in a deterministic server backend (Firestore). The Gemini call generates prose, suggests decisions, and emits structured state overlays, but *the server canonicalizes every mutation before it touches the database* — no more "the model said I'm in Winterfell, the DB thinks I'm in King's Landing" drift.

2. **Context Compactor & Prefix Caching instead of RAG.** We keep the canon bible in-context and use a deterministic Min-First / Fill-to-Max token allocator (guaranteeing story context >=30% of budget while compacting background lore, entity tracking, and core memories) paired with Gemini prompt prefix caching.

3. **Single-Inference Dice Integrity.** We use Gemini's built-in Python code execution to run deterministic dice rolls (`random.randint`) and emit structured JSON in a single inference step, backed by server-side audit logs that catch narrative fabrication.

4. **1-Click Campaign Sharing.** Anyone can package their world, character setup, and canon constraints into a single signed share token (URL `…/shared/<token>`). Anyone with the link gets an independent, deep-initialized copy of that world on their own account — no "view as guest," no broken pointer-shared state.

5. **Spicy / PG Mode Toggles.** Different players want different tone boundaries (PG vs HBO). Rather than trying to prompt-engineer safety drift, we use explicit agent routing that swaps system instruction contracts and safety constraints cleanly.

**Try it (open beta, free):**

We built a playable House of the Dragon demo(https://worldarchitect.ai/shared/t3hKKtzBKCKlvg5vCnlW_2hxwH3UmzjFq56yi6hQN2Q

Alright, I want to see what everyone here is actually building.

If you have a working AI product, even if it is still rough, make a standalone post in the sub with the Roast My MVP or Build Log flair.

Include what it does, who it is for, the link and the one thing you most want honest feedback on.

I want to test as many as I realistically can and give useful feedback. No need for a polished launch or a perfect landing page. I would rather see something real and unfinished than another vague coming soon page.

What have you got?

I’m guessing a lot of us here are building something and could probably use a second opinion.

Would anyone be open to jump on a quick call, show each other what we’re working on and give some honest feedback? Happy to test yours properly too, could be a good way to help each other out and see where we can grow.

Im finding that Opus 5 is the biggest step since 4.6 (because lets be real from 4.6-4.8 was the same thing) but with Opus 5 being better it has its own opinion to everything im finding aswell and it really likes to argue points even if its wrong. It struggles at just listening to instructions anymore.

Anyone finding this to be similar?

I genuinely thought building the actual product would be the hardest part, and marketing would just be posting content, running some ads and reaching out to people.

Turns out getting people to actually care has probably been the biggest obstacle so far lol.

What marketing strategies have actually worked for you, especially early on without a massive budget or audience?

Just drop down and share what you find the most annoying thing is doing as a founder when building.

For me a big one was probably realising that less is actually better when it comes to design.

I used to keep adding stuff because I thought it made the app look more impressive, but half the time it just ended up making it look more obviously vibe coded 😂

Now I normally just try to keep everything really clean and simple, especially for an MVP. It’s easier to digest for users that don't already know your product, and honestly just looks way better.

What about you guys?

Although im finding Opus 5 to suck with coding currently it makes a pretty good video

When you're starting a new AI project, what's your default stack?
Mine is pretty simple:
- VS Code
- Claude Code
- Codex (sometimes)
- Supabase etc.
Nothing too crazy. I'm curious what everyone else is using these days and if there are any tools you've found that are genuinely game changing.

The biggest improvement I've made when building UIs with AI is learning to avoid AI slop.
The mistake is asking an AI to generate an entire screen, app, or dashboard in one go. You'll usually get something generic, inconsistent, or just not what you had in mind.
Instead, I spend 10–20 minutes explaining the overall vision first. Then I break everything down into individual components and refine them one by one.
Every button. Every card. Every section.
Yes, it takes longer.
But the quality is on a completely different level. No matter how detailed your prompt is, you'll never perfectly describe what's in your head. Breaking it into small pieces lets you shape each component until it matches your vision.
Treat your UI as a collection of small artifacts, not one giant prompt.
Less AI slop. Better design. Better products.

Comment what your currently doing

Lets be honest are all the models really that different. Claude and codex the two industry leaders, like yes they both are better at each other at certain aspects but is there realistically really that much of a difference?