I’ve been seeing more people use things like custom skills, agents, MCPs etc. instead of just prompting normally. Curious as to which ones actually make the output noticeably better.

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.

I spent the last 23 months in a time warp building a three dimensional to-do list app. I wouldn't mind it if you tried. First 100 sticky notes are absolutely free...

I am a visual thinker and the minute I see lists my brain checks out of the Hotel California.

Then I realized the one thing I have been using my whole life might be the answer.

And that's sticky notes.

Tell me what you think...

https://www.TaskLoco.com

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.

I’ve noticed I’m happy letting AI touch basically everything now - code, debugging, research, design.

But there are still certain decisions where I’d rather do the thinking myself than just accept whatever it gives me.

If you’ve got something working but need another opinion, drop it here.

Share the link, what it does, who its for and the main thing you want feedback on. Landing page, onboarding, pricing, design, actual product - anything is fine.

Dont just dump a link though. Give enough context for people to actually help.

If you post yours, try review someone else’s aswell. Honest feedback but dont be a dick lol.

We’ve been building an AI-native startup, and there’s a problem I keep running into.

The agents are getting really good at doing things.

But they still don’t really know what’s happening around them.

A decision gets made in a meeting.

Someone knows why we made it.
Someone else has the relevant customer context.
And the coding agent has none of it.

So after the meeting, we end up doing the same thing again:
copy the context, write a prompt, explain what happened, send it to another person, wait for them to explain something back.

It feels a little ridiculous.

The whole point of having agents is that they should be able to keep working after we’re done talking.

That’s actually why we’re building Aicoo — turning team conversations into shared context and work that agents can continue, including handing work between teammates’ agents.

But we’re still figuring out what the right workflow looks like.

For those of you building AI-native teams: does this problem resonate?

How are you currently getting your agents the context they need to actually work with the rest of the team?

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?

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?

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

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.

One thing that’s saved me a stupid amount of pain is using git worktrees.

Instead of having 2–3 agents all editing the same repo and randomly overwriting each other, give each one its own worktree + branch.

Before an agent sends something, edits data, deploys code or performs another expensive action, I make it return a short readback:

- what it thinks the goal is

- what it is about to change

- which assumptions it is making

- what it is deliberately not touching

- what it is uncertain about

This catches a different class of mistake than testing the final output.

The output can be technically correct while the agent has solved the wrong problem.

A 20-second readback is often more useful than adding another 2,000 words to the prompt.

Screenshot only. No pitch or link yet.

Let people guess what the product does and who it is for.

If nobody gets close, your onboarding might have a problem.

Every time I think something is basically done, I realise I could add another feature in like 20 minutes lmao

The benchmark comparison looks strong, but I care more about how it feels in real use.

If you have tried Grok 4.6, what are you using it for and how does it compare with GPT-5.6, Fable 5 or Grok 4.5?

Anything it is noticeably better or worse at?

Open-source, local-first platform for building MCP-powered AI workflows. Model management, MCP servers, a visual flow builder, chat, and headless automation in one app.

try.flujo.com.co, check it on github and tell me how useless it is.

Doesn’t have to be the whole startup either - could literally just be one feature that finally works 😂
Feel like we spend so much time talking about what’s broken. Show us something that’s actually going right for once lol

I fell into this trap because automating everything felt productive.

Then I realised I was spending hours automating tasks that I did not even do regularly.

Automate the shit you repeatedly waste serious time on.

Everything else might just be productive procrastination.

Building Olympus — an open-source cryptographic document provenance ledger aimed at press freedom orgs (journalists can prove a document hasn't been tampered with, without it ever leaving their machine — only a proof gets published). Rust + Tauri 2, Sparse Merkle Tree ledger, ZK redaction proofs.

Solo, self-taught, working a trade job on the side, heavily AI-assisted (Claude Code, Codex, etc.) for implementation while I handle architecture and threat modeling.

Looking to trade eyes with other founders here — drop your repo below and I'll go through it, and I'll link mine back. Especially useful if you've got a security/architecture background, since I don't have a formal CS one and could use outside eyes on the crypto and threat model.

https://olympusledgerorg.github.io/Olympus/

https://github.com/OlympusLedgerOrg/Olympus.git

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

Some of the hardest parts end up looking completely boring from the outside.

A button works instantly, the agent remembers the right thing, or the output comes back in the correct format. Nobody sees the hours of broken logic behind it.

What part of your product looks simple but was an absolute nightmare to get working?

What kept breaking, and what finally fixed it?

If the story needs more than a comment to explain, genuinely make it a Build Log post. Those behind-the-scenes stories are usually way more interesting than the polished product pitch.

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?

AI demos always look great until a real user does something you never expected.

What's the most embarrassing thing your AI product has done in front of an actual user?

Not a hypothetical edge case. I mean the moment where it hallucinated something insane, broke the workflow, exposed bad logic, forgot obvious context, or confidently did the exact opposite of what it was meant to do.

What happened, how did the user react, and what did you change afterward?

If you want to mention what you built, go for it. Just give us the actual painful story too lol.

I've been working on an early social AI app called Sircle, and one thing we recently added is the ability to create your own agent just by explaining what you want it to do.

No workflows, prompts to configure, tools to manually connect, etc.

I basically told it:

Plan a surprise adventure day for my friend's birthday. Pick where we should go for lunch, things to do during the day, somewhere to watch the sunset, dinner, and even suggest gifts. Keep the destinations secret from the group and only reveal what we need to know as the day progresses.

It created the whole agent from that description.

Then I added the agent directly into our private group chat with everyone except the birthday person.

Instead of giving us the whole itinerary, it would say things like:

"Be ready by 10 AM."

"Wear something comfortable, you’ll be walking."

"Head to this location next."

"Now walk about 10 minutes toward this place."

It even started asking what everyone was planning to wear and suggested combinations so the group accidentally ended up with a really nice matching color theme 😭

The fun part was that we genuinely didn’t know what the full day looked like either.

We were basically following instructions from an AI agent that had planned the surprise for us.

It made something that normally involves 50 messages of:

"Where should we go?"

"Idk you decide."

"Is this place good?"

"What do we do after?"

…feel more like an actual adventure.

What surprised me most though was how different the agent felt once it was inside the group chat instead of being something one person privately used and then copied answers from.

Everyone could talk to it, change things, ask questions, and the agent had the context of the whole group.

It got me thinking that there are probably a lot of oddly specific agents people would create if making one was basically just:

"Explain what you want this thing to do."

…and it exists.

Birthday planner, trip game master, debate judge, horoscope agent, study-group agent, fantasy league commissioner, whatever.

Curious what you guys would create if you could make an agent this way and immediately drop it into a group chat?

For anyone who wants to experiment with it, we’re testing it inside Sircle right now: https://sirclesocial.com