Furkan Kara

When I notice a project dragging, my reflex is always to cut scope. Trim the feature down, ship the smaller version, get something out the door instead of polishing the grand plan forever.

And usually that's the right call. Most of the time I was building more than the problem actually needed, and cutting it loose feels great.

AI agents are becoming part of everyday development, but most repos still don t have a clear way to tell an agent what is safe to run, what needs to be checked first, or which commands are actually trusted.

That gap is what we re thinking about with Ota: making repo execution knowledge explicit enough for humans, CI, and AI agents to follow without guessing.

We re live on Product Hunt today with the new Intrascope update.

Intrascope started as a BYOK workspace for teams using multiple AI models.

Now we re adding managed AI usage as well, so companies can access top AI models without managing separate API keys, vendor accounts or billing dashboards.

The goal is simple: