Planning Workflow

Carefully review this entire plan for me and come up with your best revisions in terms of better architecture, new features, changed features, etc. to make it better, more robust/reliable, more performant, more compelling/useful, etc. For each proposed change, give me your detailed analysis and rationale/justification for why it would make the project better along with the git-diff style change versus the original plan shown below:

<PASTE YOUR EXISTING COMPLETE PLAN HERE>

THE EXACT PROMPT — Integrate Revisions (Claude Code)

After GPT Pro finishes (may take 20-30 minutes), paste output into Claude Code:

OK, now integrate these revisions to the markdown plan in-place; use ultrathink and be meticulous. At the end, you can tell me which changes you wholeheartedly agree with, which you somewhat agree with, and which you disagree with:

```[Pasted text from GPT Pro]```

Process Overview

1. INITIAL PLAN (GPT Pro / Opus 4.5 in web app)
   └─► Explain goals, intent, workflows, tech stack

2. ITERATIVE REFINEMENT (GPT Pro Extended Reasoning)
   └─► 4-5 rounds of revision until steady-state

3. MULTI-MODEL BLENDING (Optional but recommended)
   └─► Gemini3 Deep Think, Grok4 Heavy, Opus 4.5
   └─► GPT Pro as final arbiter

4. CONVERT TO BEADS (Claude Code + Opus 4.5)
   └─► Self-contained tasks with dependency structure
   └─► See: beads-workflow skill for task graph creation

5. POLISH BEADS (6+ rounds until steady-state)
   └─► Cross-model review, never oversimplify

What Makes a Great Plan

Essential Elements

1. Self-contained — Never need to refer back to external docs
2. Granular — Break complex features into specific subtasks
3. Dependency-aware — What blocks what?
4. Justified — Include reasoning, not just instructions
5. User-focused — How does each piece serve the end user?

Common Mistakes

1. Starting implementation too early — 3 hours of planning saves 30 hours of rework
2. Single-round review — You continue to get improvements even at round 6+
3. Not using GPT Pro — Extended Reasoning is uniquely good for this
4. Skeleton-first coding — One big comprehensive plan beats incremental coding
5. Losing context — Convert plans to beads so agents don't need the original

References