How is the Product agent different from using a generic AI for specs?
Product applies PM frameworks — RICE scoring, ICE prioritization, the Discover → Prioritize → Specify → Detail → Validate lifecycle — and it tracks which phase you’re in so it doesn’t write user stories before the problem is defined. It loads your existing PRDs, customer feedback tickets, and roadmap docs from your workspace as context, meaning prioritization scores are calculated against your actual backlog rather than a hypothetical one.
How is the Product agent different from using a generic AI for specs?
⚙️Product Collection
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How is the Product agent different from using a generic AI for specs? | knowledge | Loop