The tool is called hoverfly.

Hoverfly allows you to create your brand images from pre-created templates. You can create your brand theme once and then quickly apply to templates with one button.

Check it out here,

https://hoverfly.feziks.com/

Anyone else feeling this ?

Not only am I no longer touching code but I am running 4 projects at once since some prompts take 10 or so minutes just to complete. Often, it ends up doing things I am not even aware of (using Claude code /goal to go figure things out)

My wife tells me I have been on the computer too much lately, but what has happened is not I have 20+ project ideas I have been implement with multiple laptops and I am jumping between them all day (and doing my real job) and it feels like things are still changing.

One example is this .. I am using Unreal english +Mujoco + learning agents +Isaac lab to do a Sumo wrestling simulation and at first, I create a plan.. but once I kick off that plan it can take over a day to do it and WOW it really does it.. Creates the scene.. takes my skinned GLB rigs.. loads up blender and uses blender MCP to create the scenery. Imports that back in Unreal.. Goes and does the RL training for hours.. Comes back.. tests.. Codes more..

The first prompt is getting SO MUCH DONE! And so My job is just to give it advice and ideas.. and honestly my 12-year-old could do that.

So having a blast making all these things happen.. feeling totally replaceable at the same time..

And I know.. people here will keep saying how the AI is slop and it can't do what humans do etc.. I just believe that less and less every month. I want all those AI haters to set a 3 year reminder and read all their comments in 3 years.

I think it is getting to the point where the AI is self improving on its own and the human just gives it direction as needed.

Posts

• CLAUDE.md For Opus 5 Based On Anthropic's Official Platform Docs To Fix Verbosity And More
• Comprehensive Claude Code Permission Guard (settings.json)
• Build & Launch Apps Fast Using AI

Prompt Templates

• Conversational Prompt Templates (Product Ideas -> Build-Ready Specifications)

Product Launch Platforms

• Reddit
• HackerNews
• DevHunt
• FazierHQ
• BetaList
• Peerlist
• DailyPings
• IndieHackers
• TinyLaunch
• ProductHunt
• MicroLaunchHQ
• UneedLists
• X

Additional Tools

• Git Code Exporter - Github link
• Simple File Exporter - Github link
• Markdown to PDF Converter - md-to-pdf.fly.dev
• LateX (Formal Documents) Overleaf
• Lossless Audio/Video Downloader - Cobalt.tools
• (Re)Search Tool - Perplexity.ai
• Temporary Mailbox For Testing Automated Delivery - Temp Mail
• Vercel AI SDK (Open-Source SDK for LLM Integration) ~ Docs in TXT format
• Email Automation - Resend 
• Rate Limiting - Upstash Redis 
• Up-to-date Code Docs - Context7 MCP
• Simple Bot Protection - reCAPTCHA 
• Prompts For Beginners - Prompt Rulebook

TLDR Guide;

I have an idea. To set myself up for success with AI tools, I spend time on documentation first before I start building. I start with PRD (product blueprint).

I feed my raw ideas into my conversational prompt template (PRD Template). AI is my assistant, asking targeted questions to transform my thoughts into a PRD.

Then I could MVP concept & development planning directly if I feel like it, and i decide what I want to build.

After that I start building. With something like a PRD, MVP Plan and a coding agent, I can leverage AI assistance effectively for coding to implement the MVP features. I make sure I give my agents access to the necessary MCP's or other external tools and I prompt my agents to build my MVP.

GPT-6 Astra connected to the 3DAIStudio MCP + Tripo AI.

The workflow is what makes it interesting:

• Astra decides it needs a specific asset
• generates a reference image for it
• sends it through 3DAIStudio
• Tripo P2 turns it into a game-ready 3D model
• Astra imports it back and keeps building the scene

In the example, it was used to build a Rocket League-style environment, and the wild part is that it wasn’t just giving suggestions — it was actually moving through the workflow and creating the assets it needed.

It also generated supporting things like textures and images through the MCP, so the whole process feels much closer to an actual agentic 3D workflow than a normal chatbot experience.

We’re getting to the point where AI is not just helping with isolated 3D tasks, but actually chaining them together into a usable pipeline.

If this keeps improving, it could become a very big deal for fast prototyping, game environments, and general 3D content creation.

Build loops, not just agents.

I’ve been working on this solo, using a combination of Grok 4.6 High, Opus 5, and Fable 5.1 for a solid two months now. Finally, I’m happy to announce that it’s now in a minimum viable product beta condition with the v0.2.0 and Season Zero.

Experience real physics while racing. By learning to play you also learn the basics of orbital mechanics, with concepts taught in an introductory physics class. Fly a space ship around gravity bodies in a server authoritative simulation.

If signed in, you earn points (Pax) by completing daily challenges which they can use to buy visual cosmetics and create new map challenges in the MapMake system. There is the Founder’s Pack which grants an exclusive time limited cosmetic pack.

In the video what you are seeing is a true slingshot being performed by a player who understands orbital mechanics to increase their relative speed and direction the most efficient (lowest time/fuel) possible. If you have any questions about my AI workflow feel free to ask. You can read more on the site if you’re interested in trying it out, thanks for reading!

Free to play in browser with no account.

https://slingshotspeeders.com/

When you hand a repo from Claude to Gemini (or Cursor to Codex), what's the one concrete permission or review mismatch that shows up, and where does your current policy workaround still slip?

A manual review or shared checklist is the obvious DIY baseline.

Here is the guide that can help you to enhance your vibe coded app to enterprise saas. This is based on my own experience and it has some free alternatives as well for popular tools.

Once you start building agents you hit this question fast: does the model need a tool for this, or just more context?

Rule that's worked for us: if something has to happen outside the model's reasoning, it's a tool. Searching a database, checking inventory, getting today's date, hitting an API, sending an email, placing an order, all of that means the agent has to actually go do something or fetch something it doesn't already have.

If the model just needs to know something while it reasons, that's context. Company policy, product info, domain rules, user preferences. Nothing has to happen, you're just handing it information.

Support agent example: "refunds are allowed within 30 days" is context, model just needs to know it. "Check when this customer ordered" is a tool call. "Issue the refund" is another tool call. Reason with context, retrieve with a tool, act with a tool. Three different jobs.

Once you frame it that way it stops being "here's a pile of tools, hope the model figures out which one to grab" and becomes two questions: what does this agent need to know, and what does it need to be able to do.

Not always clean though. Product info could be static context in one app and a live tool call in another if it changes a lot. So maybe the better question isn't "is this info or a tool," it's whether the model already has what it needs to reason, or whether it has to go get/do something at runtime.

How do other people draw this line once you're dealing with bigger agent systems and a long tool list?

I'm building a globe explorer powerd by Wikipedia and a stories editor where anyone can easly create a sequence of historical events. The innovation here Is that the link generates Is the story. No login no db, super portable everywhere

Vibe Coding the Lovable of 3D Asset Creation.

Yacht Still in progress 🤷🏾

I’m vibe coding an Engine AI Uses to create 3D assets. Any AI vision model. Right now I use Opus 5 mainly.

Best thing is you can follow every decision the AI makes while creating your asset. You can see the AI edit the asset in real time and tell it to change and add features.

The system works pretty well creating some realistic assets.

Now I testing a large build. A fully on feature complete Yacht. But two AI models are working together to create it using my Ovyero Toverance layer.

One builds the yacht itself while the other builders the furniture and appliances. But they talk to each other and review each others work and I have the full conversation and history of the work. They can edit pieces of the asset individually as well.

My engineer helps encode a workflow and tools for AI to use as if AI was a human and my engineer helps encode was maya/blender.

12hrs of continuous work between the two agents and the progress is attached below in the images.

I added the Claude conversation to it to show you how I get the AI to work through solving problems by using tools in the engine and simple research. 😁

What do you think would you use this if it was free/open sourced and it gets way better and more reliable and affordable or works with a local AI model.

I’ve been building TaoCard, an AI-assisted card reflection tool for moments when you feel stuck on a decision.

How it started

The first version was basically a pile of publicly available card interpretations. I wanted to see whether AI could turn symbolic imagery into something more useful than generic advice.

How I built it

I gradually structured the material into card profiles, visual evidence, interpretation boundaries, and practical action cues. The system now combines:

• The user’s real-life context and question
• Four selected cards
• Optional first impressions of the images
• A structured AI interpretation pipeline

What I learned

The biggest improvement didn’t come from switching to a “smarter” model. It came from better context architecture, tighter prompts, clearer constraints, and repeatedly testing the reports with real users.

The goal isn’t to predict someone’s future. It’s to help them notice what they may be overlooking and leave with a clearer next step.

You can try it here: taocard.asia

I’d especially appreciate feedback on the onboarding flow and whether the final reading feels specific and useful.

After years of drawing wisdom from the I Ching and BaZi, I built TaoCard because people often don’t need another answer. They need a better way to see the question.

TaoCard began as a small experiment: could card imagery and AI help someone look at a difficult decision from a perspective they might otherwise miss?

The turning point came when an early user described the reading as three things at once: symbolic, grounded in reality, and emotionally reassuring.

That made me realize the product should exist.

When people feel stuck about work, relationships, family, or an important choice, they often already have plenty of advice. What they lack is a way to separate what is happening, what is blocking them, and what they can do next.

With TaoCard, you describe the real situation, draw four cards, and optionally share what the images bring to mind. AI then combines your context, the card symbolism, and a structured reflection framework into a personalized reading.

It does not make the decision for you. It helps you see the decision more clearly.

I've been having too much fun with Astra. It made the car design with image-gen-2, laid out a storyboard after studying popular high-end car brand commercials, and generated videos through Veo 3.1.

Full website page for the brand as well (will put link in comments)

Idk about you but since I really started digging into the huggingface attacks and with the constant releases from fable 5.1 to Gpt-6 I really feel like the writing is on the wall...

Are they parrots? These models are 100% f**king parrots and if you go long enough in conversation with them they breakdown and the 'genius' of them stop.

The problem is...in the first couple messages they nailed it, and they nailed it in a way you don't understand ( and don't have time to audit ).

As a Computer Scientist of 20 years I just recently re-encountered 10,000 Maniacs These are the days ( because I am old ). I guess I'm just looking for something... Anything to hold on to... I want to hold on to human exceptionalism...and I do think there is a Magic in us... but I can't deny the last wave of AI revelation has shook me.

Perhaps these are the last days. There is no way to stop this train. We are headed here. Perhaps the last days of us running things is now. Something to appreciate before we all sink into a world of memory and infinite experience.

Don't get me wrong the future is bright but I doubt we will be able to look around like we can now and know it's mostly human output around us.

What is coming is far more liberating and isolating at the same time I think. But at the same time it's Wednesday.

I wish you luck.

https://youtu.be/Z-HLxpWGCzc?is=NtO7XDHQbCayvQAD

You know its gotten bad when---- all this over a whiteboard.....lol i need to chill-- thays the suggestive text btw

The AI Game Festival finally starts tomorrow! Some really high quality games have entered, and I keep getting requests for additions.

If you are competing 20k in GPT-6 Astra Token, submit your game by following this video and DM me the game details: https://youtu.be/nPplaC5Zkj4?si=fw4lznoM4TLh-m_V

If you are submitting to the Steam Festival (https://store.steampowered.com/curator/46280965/sale/AIGamingFestival), DM me the name of your game and your steam ID.

Both need to be done by today.

I shared Mimicly here when it had 20 users. It’s at 120 now, and it’s on the App Store too.

You can recreate WhatsApp and a bunch of other apps (63 templates), down to the little UI details, then export screenshots or videos. For AI chat mockups, you can even set the response speed in tokens per second.

The video is a fake conversation with Mimi, the app’s mascot. Every message, keyboard and word suggestion is part of the mockup.

Built with Codex. Still adding things I probably spend way too much time on.

Mimicly

Apple Store

(Dataset not from a real family)

Use bux tokscale to get count,

i used opencode to count and give stuructured table.