Like any side project, Remarc had its innocent beginnings in my own problem — there was no good way to provide contextual feedback to AI agents on their own output.

Social media may make building with AI seem like this: ask for the thing, blindly approve the plan, get the thing. Post “omg claude just one-shotted blah”. Profit.

But if you’ve ever worked on a real product, you know nothing good is ever one-shotted. Every PRD, design, and build goes through dozens of feedback loops and iterations. That’s how you get from something that works to something actually good.

There are a plethora of tools for collaborating with humans, but surprisingly little for collaborating with AI. Chat just wasn’t cutting it for the kind of contextual feedback I wanted to give my agents.

This thing in the implementation plan? Change it to that. What did you mean here? See this button? Here’s a screenshot, I circled it — it’s missing a hover state. This sentence in the 3rd paragraph? Rephrase it.

If you’re an opinionated builder who wants things in a very specific way, this quickly becomes a nightmare. You either end up dictating paragraphs of messy feedback or resolving everything one by one. AI is great at parsing mess, but garbage-in-garbage-out still applies.

And that’s where I found myself. I could easily get products to 90%, but that last 10% of polish that makes them actually stand out was unnecessarily clunky.

Building with AI has a last-mile problem. So I decided to build something for myself.

Remarc lets you comment on anything on your screen - select any text, any web element, take a screenshot, and leave a comment. Each comment has a status and goes into a session that your agent can start / read / update. Your feedback is now structured and contextual. Comes with webhooks and lots of other bells and whistles so you can dial it in for yourself if this is the way you like to work.