The morning test​

Here's the bar I hold every build tool to. Could a non-technical founder describe a feature at breakfast — "customers on the annual plan should skip the setup fee" — and have it live in production, working correctly, by lunch?

Not a prototype of it. The real thing, wired to the real data, that you can charge money against.

Almost nothing passes. So I spent a week reading the public docs and pricing pages of the three tools founders ask me about most — Lovable, Devin, and 8090 — to figure out exactly where each one stops. This isn't a takedown. Every one of them is good at the slice it owns. The problem is that a slice isn't a product.

Something changed about how fast founders reach the market. We see the pattern every week now: someone describes an idea on Monday, has a spec-driven MVP by midweek, and is taking real signups by the weekend. Idea to market in days — not months.

But there's a gap that keeps tripping people up. The product moves at software speed, and the legal foundation is still stuck at paperwork speed. You're collecting payments, signing your first customer, or applying for a grant — and you still haven't incorporated. This post is the plain-language map for business registration and incorporation in Canada, and how to get it done as fast as you shipped the product.

"Fix it." "Fix it again." "You deleted the calendar??"​

If you've built anything with an AI app builder, you know that loop by heart. You type a prompt. Something breaks. You describe the break. It fixes that — and quietly snaps something else. You prompt again. The credits meter spins.

Founders on Reddit have documented burning 500K+ tokens on a single bug-fix spiral, and $1,000 weeks on agent platforms, while the app itself stayed broken. There are entire threads about credits evaporating in real time.

The reflex is to blame the model. Get a smarter one, a bigger context window, a better agent, and the loop ends. It doesn't.

A software RFP just landed in your inbox, and the clock is already running. Dozens of pages of requirements to decode, a price and timeline to commit to, and compliance clauses buried in the fine print — with days, not weeks, to respond. Guess low and you lose money; guess high and you lose the bid.

Most people go looking for an AI RFP writer to speed this up. Codalio takes a different approach: instead of generating prose, you upload the RFP and it builds the substance behind your response.

The App That Almost Works​

You built it on Lovable. Or Bolt. Or Cursor. Or you didn't build it at all — you inherited it from a contractor who's gone now, or from an internal project that predates half your team. It runs. It demos well enough. It gets you most of the way to something you could actually charge money for.

And then it stops getting closer.

So you prompt again. The AI iterates, confidently. Something moves. Something else breaks. You prompt again to fix the thing that broke, and the original fix quietly comes undone. Three hours later you have a build that is differently broken than the one you started with, and no honest sense of whether you're nearer the finish line or further from it.

Most founders describe this as a code problem. It isn't.

Your agent didn't overspend. It guessed for six hours.​

On July 2, Replit finished rolling its effort-based pricing model out to everyone, after a two-week trial. Within days, Reddit filled with builders reporting projects that suddenly cost up to 4x more than before. The story that stuck was a single screenshot: a $607 bill from an agent session nobody was watching, quietly burning credits for hours.

Replit conceded the rollout "did not meet our standards" and handed affected users $10 in credits. The pricing-page anger is real, and some of it is fair. But if you read the $607 story as a billing glitch, you'll miss the part that actually costs you money.

That agent wasn't malfunctioning. It was doing exactly what it was told, which was almost nothing. It had a vague prompt, no definition of "done," and permission to keep working. So it kept working — thrashing, looping, rebuilding the same feature three ways — and every one of those hours had a meter running.

You built a slick demo for the hackathon. It got applause. Then someone tried to actually use it and it fell over.

A UI that looks like a product isn't a product — and knowing the difference now is what separates the next wave of founders from the next wave of screenshots.

Two Valuations Went Up. One Number Stayed Missing.​

On July 8, 2026, TechCrunch reported that Lovable is in talks to double its valuation to $13.2B — up from $6.6B in December 2025 — on roughly $500M in ARR, after a $300M round led by Menlo. Cursor is separately reported to be chasing a $50B round on the back of $2B ARR.

Those are real numbers. Money moved. Contracts got signed. The revenue is not a mirage.

But notice which number nobody quotes alongside the ARR: how many products actually shipped. Not prototypes. Not weekend demos. Products that survived contact with real users and stayed in production without a rescue.

That number doesn't appear in any deck. And its absence is the entire story.

Your domains earn pennies. Literally. A typical mid-market parked domain makes $0.10–$5.00 a month, and in February 2026 Google removed parked domains as an ad placement entirely.

Parking is dying. Building isn't — and you're holding the hardest part to get.

Every new feature breaks two old ones​

You ship a feature. A week later, something unrelated stops working. You fix that, and checkout breaks. You fix checkout, and the login flow starts throwing errors on mobile.

If this is your product, you've probably concluded your developers aren't good enough. Most founders do. It's the obvious story: bugs mean bad engineering.

It usually isn't. The teams shipping fragile apps and the teams shipping stable ones are often equally skilled. The difference shows up long before anyone writes a line of code.