Hey everyone — we built the Product Management Copilot because as product people ourselves, we kept hitting a wall with generic AI tools: responses were too vague, unstructured, or disconnected from real PM trade-offs. We wanted something that actually helps PMs make decisions, using proven frameworks (Lean Startup, JTBD, OKRs, etc.), grounded in real product work. We’d love your feedback on: - Whether the guidance feels actionable — can you take the output and actually do something with it the next day? - Clarity of structure: does the advice feel organized and logical, not overly generic? - Tone: is the coach voice helpful & collaborative (not preachy)? - Gaps: what situations or trade-offs are missing that you encounter as a PM (bug vs feature, roadmap vs maintenance, prioritization under tight deadlines, etc.) How it’s better than generic ChatGPT-5 - Contextual & structured: built specifically for PMs, so outputs use tested frameworks, not free-form AI opinion. - Real-world trade-off thinking: we benchmarked it on 50+ genuine PM challenges so its recommendations are more directly applicable. - Decision-focused: instead of giving you theory, it gives you next steps and trade-off logic. If you try it out, I’d appreciate hearing how it compares to the AI tools you already use — what you liked, what you didn’t, and where you think we can improve.

Product Management AI Copilot

Outperforms Generic ChatGPT5

Outperforms Generic ChatGPT5