The Iteration Loop
Re-analysis keeps every milestone grounded. Each cycle builds on the last.
When to re-analyze
After milestone coding is complete
Absorb what was actually shipped — new screens, routes, components, and any implementation decisions that deviated from the plan.
Before starting a new milestone
Confirm the baseline is current before generating the next PRD, app structure, and wireframes. Stale snapshots produce misaligned artifacts.
How to trigger re-analysis
Go to your product detail page and click Reanalyze with AI in the Product Analysis card.
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Product Analysis
What compounds over time
Each milestone you plan in Valarchi adds to a shared knowledge base about your product. The more you use it, the more useful it becomes.
Deeper product knowledge
Each milestone adds more screens, components, and decisions to Valarchi's understanding of your product. Planning artifacts get more accurate and more specific over time.
New team member onboarding
New engineers and PMs can ask questions about previous milestones — what was built, why a decision was made, what was explicitly out of scope. The history is queryable.
Decision audit trail
Every PRD, app structure diff, and tech plan is preserved. You have a complete record of what was planned and why — not just what ended up in git.
Pattern detection
As milestones accumulate, Valarchi can surface recurring patterns — architectural decisions that repeat, scope that consistently expands, or components that keep being rebuilt instead of reused.