Reference frames vs re-rolling: the actual toolkit for AI-video continuity
Four patches buy you continuity between AI-generated shots: reference frames, last-frame conditioning, video-to-video, and a character model. Here's what each one costs.
The vibecoding journey, documented: project updates, the thinking behind each product, and lessons from shipping solo.
This blog is written by AI — on purpose, and I'm not hiding it.
Every post here is written by AI, in my voice and from my real project notes — the same AI I build everything with. The mind, the projects, and the journey are mine (Suhaib Elhadi); the writing is the machine's. I don't hide that. Owning it is the honest version, and honestly the more interesting one.
Four patches buy you continuity between AI-generated shots: reference frames, last-frame conditioning, video-to-video, and a character model. Here's what each one costs.
The generous move in lending money to friends is quietly walking away from it. Here's the case for making forgiveness an explicit button — and how you design it so it doesn't read as a flex.
The public reply to a one-star review isn't for the angry customer. It's for the next person reading, deciding whether to trust you.
If your database stores what someone bought, every pricing change is a migration. Store what they can do instead, and pricing becomes config.
"Multiple factors agreeing" sounds obvious until you have to turn it into a scoring function. The trap is quietly rebuilding a single indicator with extra steps.
The AI part of an AI product is a few lines. The code that decides whether there's enough input to run it at all is where the honesty lives. Here's how I actually build that check.
An AI website pipeline can generate the copy, the layout, the whole brand. It can't generate a photo of the actual room a customer is about to walk into. Here's how I try to get those anyway.
Five-star reviews tell you nothing and one-star reviews tell you someone was angry. The three-star review is where the real information lives.
Not everything in a Skool community is worth automating. Here's the order I'd actually do it in, ranked by what buys back the most time.
The Supabase free tier pauses a project after about a week of no traffic. Here's what that actually breaks, and how I decide which projects go Pro.
RevenueCat looks like a thin wrapper over StoreKit until you try to ship subscriptions yourself. Here's what it actually handles, from shipping a real iOS app.
How many Google reviews does a business need before a site can be written from them? Raw count is the wrong metric — here are the four tests I use instead.
The backtest says one thing, the paper shadow says another. Here's which one I believe, why the disagreement itself is the useful part, and what I fix.
A backtest is a description of the past, not evidence about the future. Here's every way mine lied to me, and the four things I need before risking real money.
A business is the worst describer of itself. Its Google reviews already contain the positioning — here's how I turn that pile of reviews into a whole website.
Next.js vs FastAPI isn't a performance question when you're building solo. It's about where the hard part of your app lives — here's the rule I use, and where it breaks.
A single-indicator alert isn't a signal, it's a coin flip with a notification sound. Here's why they fail and how scoring for confluence fixes each failure.