I built https://gallotails.com/ because I am a cocktail enthusiast. First commit, March 6th 2019. One of the features I am proud is which cocktails you can build based on your ingredients, and I was smart, the bar ignores garnishes and can suggest cocktails you're one ingredient away. But you have to add the ingredients. And interpret the bar screen.
And here's what I did with ChatGPT a few days ago: https://chatgpt.com/share/6ab59877-4b74-83e8-8da5-966d9f3a38...
Clicked the microphone icon and rambled for a few seconds (could have just taken a picture too I guess). Nudged ChatGPT to only give me simple cocktails I can stir instead of using a mixer. Said I could buy a lime, sure. Then asked how to keep the ginger beer fresh.
There is NO WAY I can code all of that in my little gallotails.com - a single chat window has entirely replaced my site. And that's my pet little project I do it on weekends, mostly to keep my tech skills sharp. I can only imagine what the biggest cocktails website, actual companies, are going / will go through once more and more people just realize the chat tab is enough. And I am not talking about purely content, ChatGPT can do everything my site does, and more, into any direction, in an instant.
Which left me with the question, then what should my site be? Community? To be taken over by agents?
Currently munching on what sites like mine should do, and what they should be.
Oh yeah, and I am not mourning or anything like that. And I do want the human touch, because AI can't. But humans, at least over the internet, can send their agents, or companies can run agents and I won't know from my site if it's an actual human, or some AI fabricated interaction (can't even trust an image it uploads).
When AI first showed up a few years ago, I thought about opening an actual physical cocktail bar. Hypothesizing humans will be tired after a long day of their agents talking to other agents, they would crave for actual humans. I would ban electronics inside - no distractions. Maybe one day I will go for that...
Eg from your share, the model output “I prefer it Scotch-heavy rather than 50/50 because otherwise it gets very sweet.”
It’s basically cribbed this from someone; it literally can’t taste.
The frontier labs are not yet able to do rlvr over mixology/meatspace. So maybe think on how to capitalize on that.
Chatgpt would shit on my great grandma's waffle recipe but it's the one I'll keep making till the day I die.
- Video devlogs were long a shitty way to make a community (I can explain this one in more detail, but in short, the tradeoff between opportunity cost and video quality is a Pareto curve that is bad at all points on the curve, if your goals include both “make game” and “build community for players with devlogs”, the way out is to drop one of those two requirements, either “make YouTube/Twitch/TikTok channel” replaces “make game”, or you build some other audience for your devlogs)
- Good devlogs don’t have that level of detail, to let people easily recreate games
- Most games can’t easily be replicated by LLMs, in short, the people who are good at steering LLMs like that are making their own games.
This is not the first time I heard this story. Sometimes it comes with the lamentation “back in the day people could build communities with devlogs” and no, that was generally not a good way to build communities. It was mostly good streams from YouTubers who were making the game in order to make YouTube content or it was mediocre streams from random devs. Throw in a few people who are famous game devs who choose to stream and get a big audience because they already have a community.
The whole problem with LLMs is that you don't need the detail.
And someone trying to vibe copy another person's game is definitely the type who has no idea of value to add. So many of the slop games the whole concepts are so generic that they definitely just asked chatgpt for everything.
In the modding scenes for some games I play I've seen vibe coded mods where the gameplay additions make no sense and have no sense of balance or fun, with these completely new to the community devs having ko-fi links set up from the start.
An LLM "recreation" doesn't have to be complete or very good. It just has to steal enough thunder to be profitable.
It's it possible for an LLM-created game to be profitable but "unsuccessful?"
For instance, if (on average) if it costs $100 in tokens and time to make a crappy LLM-game clone, but you can clear $200 in sales per game on average, you're ahead.
And the economics of slop mean there are a lot of people in 3rd world countries who will make all that effort for a $100 payout (or less).
And that's why we can't have good things...
(This is just gonna keep happening more and more until eventually we'll need something like a patent system for ideas)
Then it’s sufficiently non-obvious. I believe there’s still a pretty big field of things that fall into this category. Making proper things is a lot more than writing some code.
I've been playing with an LLM backed reference checker for my partner who is a lecturer. For each reference in some work she's marking an agent is dispatched to read the referenced source and check that the reference is correct / accurate / not hallucinated.
It's useful to her, but it feels like it would be a waste of effort to turn into a product, because pasting the same document into Claude/ChatGPT with a prompt like "download and read each reference etc" would work pretty much just as well.
I had similar concerns about an AI backed training generation company I interviewed with. I asked how they saw themselves competing with increasingly capable generic harnesses. I don't recall exactly what they said but the impression I got was they were so focused on competing with the big LMS players that they hadn't really considered it.
If you don't care so much about adding something significant to the world, and your LLM-buttons-wrapper is a novelty, chug along and see where it goes if you're having fun. Looking for what value mean at this moment is a much harder effort, and probably a luck-based endeavour.
I don't have fun creating LLM-wrappers or at least haven't thought of a fun idea for it that could be even a fun novelty to work on so personally I'm not doing it but I'm using LLMs for other fun stuff that required much more of my free time before.
Also for creatives, some sort of aesthetic control? Most of the examples on this page look like templates you’d see in an office suite that appear swish, but are ultimately bland.
Nope. If all your doing is prompting an agent to build stuff (especially if what it is building is based on LLMs), then you might as well take it back to the whiteboard and rethink how you're spending your time/tokens.
The LLM only does average returns from average inputs.
Some SaaS products have network effects, but that doesn't appy to new software.
Starting a SaaS business in 2026 seems a bit silly to me. Not saying people won't make money, but you'd have to be pretty lucky.
Some of the stuff I've seen is mindblowingly impressive in how they've captured quality creative decisions, and how the models can reason about visually appealing designs.
It understands things like continuity, themes, facial expressions, cultural memes/references, symbolism, etc. And it generates things using a lot of multi-modal behavior by using 3d, images, etc.
Some really incredibly impressive stuff.
No way to download or watch it in the webapp of opencomputer. No instructions on what to do? Do I need to run it locally? It seems it did use usage.
Fast forward a few months, and Opus 5.5 is now running my entire video production pipeline. This model is leaps and bounds ahead of the previous model.
I can generate a complete 5-minute explainer video on my MacBook Air M4 in about five minutes from a single prompt, using the Gemini TTS API and MiniMax H3 Max for b-roll. It creates thumbnails and titles, handles the entire process, and automatically uploads the result via the YouTube API—all powered by a Claude Code plugin. (youtube.com/@ctrlaltexplain for those interested).
About 6 months ago I spent 12 hours creating a video for our Edge.js [1] announcement that, in the end... people were not very inspired by (to say the least). See the video here [2].
Then, about a month ago, I spent 6 hours creating a video for our Wasmer SDK announcement. It was better, but still didn't go as viral as I wanted [3]. I always thought we would need a big budget to do them.
But then, yesterday I tried Opus 5.5... and man, I'm impressed. The video was one-shotted with this prompt:
Make a modern slick and punchy video for this announcement:
[content of the blogpost in markdown]
Exactly how? What does ffmpeg record?
What exactly renders the video from the HTML page?
The code for the infamous "I'm upping my p(doom)" video (https://www.youtube.com/watch?v=8j-hR4fJywU) is open-source and uses Processing: https://github.com/JohnHeibel/PDoomVideo
So predictable.
I asked it to make a site for my TI4 reference project: https://axiomvortix.com
It produced a video about an AI startup with the vague goal of centralizing data.
If you're the author congrats, great work!
Made entirely with Opus 5.5 + $3.21 of OpenRouter API usageClaude Code Workflow
https://www.reddit.com/r/ClaudeAI/comments/1wogab3/
Jaw literally dropped. I ran the prompt from the "Made entirely with Opus 5.5" post on my own project. Here's what Claude Code made on its own for about $4.Claude Code Workflow
https://www.reddit.com/r/ClaudeAI/comments/1wovwao/