Hydrating the Roadmap

Take all of the research in research/* and apply it to our *.md docs

/do-parallel for each step in roadmap.md, write it in steps/{name}.md. use the research in research/*

Read through the roadmap and the steps, respond with a confidence score 1-100 of whether or not you think we will succeed, then list things that will make us more confident

The Goal

This note is about detailed planning and gut checking. Two questions:

1. Can we get a detailed roadmap?
2. Are we confident we can accomplish it?

Step 1: Hydrate the Planning Docs

With research complete in research/*, apply it back to the planning documents:

Take all of the research in research/* and apply it to our *.md docs

This updates vision.md, architecture.md, and roadmap.md with validated approaches, concrete numbers, and working code patterns.

Step 2: Expand Roadmap Steps

Each step in the roadmap needs detailed implementation guidance. I used /do-parallel to expand all steps simultaneously:

/do-parallel for each step in roadmap.md, write it in steps/{name}.md. use the research in research/*

This creates a detailed implementation guide for each step, incorporating the research findings. The steps/ directory becomes a collection of actionable implementation documents.

Step 3: Confidence Check

With the detailed roadmap and expanded steps, ask for a gut check:

Read through the roadmap and the steps, respond with a confidence score 1-100 of whether or not you think we will succeed, then list things that will make us more confident

Methodology: The Confidence Check

There are many ways to do this confidence check:

• Ask for gaps — What needs more specification?
• Ask for unknowns — What needs more research?
• Ask for spikes — Do we need smaller experiments to validate assumptions?
• Ask for risks — What could go wrong?
• Ask for dependencies — What are we waiting on?

In this example, I kept it simple — just hunted for a confidence score and a list of things that would increase confidence. When the score came back high, I accepted it and moved on. This is risky. AI is often overconfident. A proper confidence check using the approaches above would surface more issues.

What I Did

I ran the confidence check, got a high score, noted the suggestions for improvement, and moved on. The suggestions went into backlog items and future research topics.

Next Steps

Start building.