NotebookLM + Antigravity started working way better for me when I stopped using them the obvious way

I kept running into the same problem using AI for coding stuff:

I’d ask for something small → get an answer

Then ask for the next thing → it kind of forgets

Then I have to explain everything again

After a while it just feels slow and… weirdly inefficient.

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I didn’t change tools.

I just changed how I use them.

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What I started doing instead:

I dump everything into NotebookLM first.

Not just code, but also:

- rough ideas

- random notes

- half-baked architecture decisions

Basically anything that gives context.

Then instead of asking for small things, I ask for a full breakdown in one go.

Like “what would this feature actually look like end-to-end?”

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The difference is bigger than I expected.

NotebookLM feels way more stable when it has all the context loaded.

It doesn’t feel like I’m restarting the conversation every 2 prompts.

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Then I take that output and move to Antigravity.

At that point I’m not asking it to think.

Just to execute parts of what’s already defined.

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That separation helped a lot:

NotebookLM → thinking

Antigravity → doing

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Before it felt like:

ask → answer → lose context → repeat

Now it’s more like:

load context once → think properly → execute step by step

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I’m using fewer prompts overall and getting more consistent results.

Nothing crazy or “hacky”.

Just stopped trying to do everything in one place.

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Curious if anyone else is doing something similar or if I just overcomplicated this for no reason.