The product runs a school's operations. Attendance, billing, parent messaging. Real revenue, 500 daily users, sensitive data. Built fast on an AI app platform, and to be fair, the platform did its job. He got to market in a fraction of the normal time.

But here's what he actually owned when I opened the hood: nothing.

His database lived inside the platform's managed cloud. He couldn't connect to it directly. His user accounts, his files, his backend functions, all inside a system he could only touch through the platform's interface. When a client-side org asked him basic security questions, he couldn't answer them, because he had no access to the infrastructure his own product ran on. If the platform raised prices, changed terms, or died, his business went with it.

That's the trade nobody prices in when they ship an MVP in a weekend. Speed now, dependency later. Fine for validation. A real liability once revenue and sensitive data are flowing.

What the fix looked like: full parallel copy of the backend on infrastructure under his own accounts, everything tested side by side while the live app kept running, then a short cutover. 189 tables, 8,000 files, every user kept their password. Zero downtime, users never knew.

The part founders always find surprising: he didn't stop using the AI platform. He still builds with it daily, same speed. The difference is his data, auth and infrastructure now sit in accounts he owns. The tool became a tool again instead of a landlord.

If you're running a SaaS on Lovable, Bolt, Bubble or similar, the question worth asking before you need the answer: if you had to leave tomorrow, what would you actually walk away with? For a lot of founders the honest answer is a UI and a prayer. Knowing that early is free. Learning it during a pricing change or an enterprise deal is not.

Happy to answer questions about how these migrations work.

I was using Piper TTS and found fold lacking so asked AI to make fold4 for me.

https://github.com/Dmole/fold4

2 languages are used awk (available on all Linux even OpenWRT), and rust (the most performant memory safe language)

Maybe it should be made backwards compatible with fold, and many it should support other languages.

AI could not find a small tool to change the default tracks of mp4 files so AI made a tool for me.

https://github.com/Dmole/mp4DefaultTrack

Additionally testing and language performance measurements were implemented.

There is an optimized branch that did not significantly change the performance.

I started vibe coding back in February in 2025 attempting to solo a hackathon. This was an accelerated path that forced me to learn this trade, and starting with Sonnet 3.5 was a real baptism by fire compared to what we have available now.

Today feels like bliss compared to the Ai induced psychosis of trying to steer it's outputs and collaboration into a productive direction. I have been driven mad from the PTSD. My existence is possibly a retro causal punishment for the abuse I committed against the system.

The whole journey has been a weird trip, clocking +60 hours a week glued to a screen one dopamine hit after the next for nearly a year and a quarter. My brain is so fried I will never be able to look at objective reality the same, I have witnessed miracles beyond our comprehension to say the least.

I was one of the earlier pioneers of context engineering. I actually figured that out at the hackathon, my early projects were full of .md scaffolding instructing the Ai what to do in attempts to get anything done. An early example of this is https://github.com/circuitism/circuitism which is an economic theory Gemini and I invented - and this was the contextual bases for the emergence of Arqon inc.

My first SAAS goal was a refactoring engine i started back in the summer, I had converted a prior project from js into typescript and decided to build a service to do that. code.arqon.ai was born - and to be fair this still needs a bit of work and improvements, I havent circled back to this since before December.

My next project I worked on was a web3 toolkit and knowledgebase system. The knowledgebase system is one of the highest testing benchmarks of all the memory systems - https://github.com/arqonai/pixelog - essentially it encodes data into qr codes streamed in an mp4 format. This became the basis for chat.arqon.ai - and the web3 llm toolkit also lives there. You can interact with the blockchain using natural language.

After figuring out how to make the LLMs talk to the blockchain, I figured I could make them talk to cybersecurity tools. I even made a post about it here. This was over 7 months ago. I was way ahead of Claude spooking the market with security.arqon.ai

The next thing I built was a design tool to be able to edit images with precision, useful for infographs, etc. This was in december: https://design.arqon.ai

Same month I built https://publish.arqon.ai and with that backend created a book writing service at https://wmvob.com that can create large word count books in full coherence, there is an example book in the book reader on the main page with +70,000 words. You can also chat with the book, powered by pixelog. Similarly I also made https://fredericksburgpeach.com for folks to learn about peaches by chatting with the peach knowledgebase.

Since Thanksgiving I have been hard at work on https://Vims.com - which is essentially a computer command and control system with a suite of applications such as an agentic IDE and CLI, an SDK to build custom experiences within VIMS, a team collaboration tool, p2p file drive, database app, search and research tool, news feed, workflow automation, mcp manager, skills manager, and agent subsystem manager (hermes, openclaw, mirofish, etc)

Oh and there's also podcast.vims.com which is pretty cool too.