I’m building Mazora to reduce wasted AI coding prompts

A lot of founders are using Cursor, Claude Code, Codex, Lovable, Bolt, and other AI tools to build MVPs faster.

But I keep seeing the same problem:

The AI is not always the bottleneck.

The context is.

When the product context is scattered across prompts, chats, screenshots, docs, and the founder’s head, the AI starts guessing.

Then you spend more tokens explaining the same things again:

• who the users are

• what each role can do

• how the flows should work

• what rules and permissions exist

• which edge cases matter

• what the AI should not invent

That means more retries, more corrections, more “no, that’s not what I meant,” and more token waste.

Mazora is my attempt to solve that before the next coding session.

It turns a rough idea, prototype, or messy MVP into an AI Product Blueprint and Agent Context Pack that can be reused with tools like Cursor, Claude Code, Codex, Lovable, or Bolt.

The goal is simple:

clearer context before more prompts.

I’m still validating the exact wedge, but my current thesis is that Mazora is most useful when builders start feeling context drift: the app exists, but the AI no longer fully understands what the product is supposed to be.

Curious if other indie hackers feel this too:

Do you waste more tokens because the AI is weak, or because you keep having to re-explain the product?