September 2026
Building RedPencil.ai's foundation, the phase everything after it assumes: auth, the project shell, the deploy pipeline and the data model manuscripts hang off.
The two phases before it are done. The need was brainstormed and the product scoped, and the scoping had its own review loop: I scope with Claude, hand the scope to GPT to find the holes, then bring GPT's findings back to Claude to close them. Two models disagreeing is cheaper than one model agreeing with me, and the scope that came out of it is the one the phase map on the home page tracks.
The learnings library went from an idea to a running system in the same stretch, and it is the part of the project that works every night. A local model reads one published novel an evening and a frontier model records what the book does well, so the editor will have an answer key before it has a manuscript. One book a night is slow. It is also the pace the hardware allows without disturbing the agents that share it, so it proceeds, and the shelf grows.
