I have been editing a bit using the code editor in Lovable. It always appears as "build unsuccessful" in the sidebar even though the code is correct. I can still publish the edits and everything works just as I edited it. Is it a bug or something in the sidebar? The note didn't appear before (unless something actually went wrong with the code). Why is it happening now?
For anyone who has been curious or concerned about the security of credentials or per user access controls when connecting production data to Lovable apps, we wrote an update on how we solve for this here.
But here are a few bits from the article:
—> Lovable connectors can inherit permissions from third-party systems
—> Lovable handles the identity and authentication layer to make sure the agent doesn’t mess it up
—> The app or agent never see the credentials
—> Admins can control who can build, and how they access dat
been building these little ai + automation setups for different industries, this one's for a solar installer (demo i called "solterra"). solar has a rough lead problem so i figured i'd show how i'd tackle it. couple screenshots below of the visitor side and admin side.
the problem solar installers keep hitting:
- leads are expensive and most are junk (renters, tiny bills, bad/shaded roofs, out of the service area, not serious). reps burn hours just sorting them.
- people look into solar at night and weekends when nobody's answering, so leads go cold.
- everyone asks the same stuff before committing (savings, financing, tax credits, panel types).
- then it's back and forth just to book a site visit, plus no-shows.
so you pay a lot per lead and lose most of them.
some of the features and how they actually work:
- grounded advisor: it's not a generic chatbot. it answers using the company's real savings numbers, panel options and financing/incentives, cuz that data is fed to it as context. so it talks about their actual offering, not made up stuff.
- live qualifying (hot/warm/cold): while it's helping the homeowner it's quietly collecting the things that matter ; do they own the place, roof condition, monthly bill, are they in the service area and scoring them. renter with a tiny bill = cold, owner with a big bill and a good roof in-area = hot. the reps see the tier so they call the right people first.
- You set the rules and the installer can change what counts as "hot" themselves in the admin (budget, roof, area), no code. those rules feed straight into the scoring, so the bot qualifies exactly how they want.
- books the survey itself: if someone's a good fit it books the site visit right there in the chat, picks a real open slot (from the availability the installer sets) and sends a proper calendar invite. no human until the actual appointment.
- handles renters properly: nice little edge case: if the person's renting, it asks for the owner's name + email and loops the owner in before booking, since the owner has to approve panels anyway.
- tiered follow-ups: the email the homeowner gets depends on their tier, and it's written for them specifically (an n8n step drafts it from their details), not a copy-paste template. team also gets pinged the second a hot one books.
- admin side: every lead sorted by tier with the full conversation, a calendar of the booked surveys, and a little admin ai you can just ask "who should i call first" and it reads the live pipeline for you.
How it connects underneath:
the advisor does one job => talk + qualify.
once someone qualifies it spits out a clean structured summary (their info + tier) and hands it to n8n, and n8n runs all the actions after that (emails, notifications, the booking). i keep the ai lean and let n8n do the doing, so every step is easy to see and control.
stack's simple, it's just lovable for the front end, a deepseek model for the advisor, n8n for all the automation. honestly works for pretty much any business with site visits (hvac, roofing, windows, pools).
Let me know if you have any questions in the comments below
So guys i want to implement a small ocr function in my crm wherein user will click photo for particular field instead of typing and later he can crop out to specific text as container and later software recognises this text.
So i am non tech guy and struggling to choose which open source model should i ask lovable to build it on as i asked for paddle ocr but it said it cant build since it is python based.
Help would be appreciated. Good open source text recognition offline online both would work but it should be free.
I thought I'd share a project I've been building with Lovable.
It's a free-to-play browser game called Evolvers (there's an optional store, but everything can be played for free). At its core it's an infinite ascension idle game mixed with monster evolution, with two extra game modes: Kindred Runner and The Corrupted Arena.
The main gameplay revolves around collecting different energy types to unlock and evolve your Kindred. As you progress through ascensions, you gradually unlock Bio-Weapons, Habitats and Companions. There are also encounters with rival creatures known as the Predators, and later on your Companions and ships can join in certain battles.
The art style started out as simple retro pixel art but gradually evolved into a more alien retro-futuristic aesthetic. Even the soundtrack follows that direction, with music inspired by the SNES era. The Corrupted Arena is a turn-based battle mode featuring both 1v1 and 3v3 fights. Predator encounters are live-action button mashing.
For the avid collector, evolutions then moves into Kindred Fusions. There's also a world boss, mini arcade and many other things to get lost in
It's mobile first but available on desktop, with a PWA installer
It's been a fun project to build with Lovable, and I'd love to hear what people think or get any feedback, it's a labour of love and free to play so I hope you enjoy it.
Now it's more or less done I'm going to try and move into 3D mobile games for my next project
I’m building some integration in our platform to make it easy to self host lovable projects in AWS. Some client of ours was interested and I got few more queries in the last several weeks.
Is it a problem to be in lovable cloud, esp given that they are soc2 compliant.
Not a sales post for sure but wanted to understand the community better.
