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AI Prompts for AI & Automation

31 prompts available for product managers.

제품 산출물을 최적화하는 오토리서치 루프 실행하기(Run an autoresearch loop to optimize any product artifact)

작동은 하지만 훌륭하지는 않은 제품 산출물(artifact) — 랜딩 페이지 카피, 온보딩 스크립트, 이메일 시퀀스, 가격 페이지 — 이 있습니다. 무엇을 개선할지 추측하는 대신, 이 프롬프트에 넘겨주고 AI가 Ka

22 uses

AI 기반 사용자 리서치 synthesis 워크플로우 구축(Build an AI-powered user research synthesis workflow)

여러 개의 사용자 인터뷰 transcript나 피드백 소스가 있고, AI가 패턴, 테마, 실행 가능한 인사이트를 자동으로 식별하길 원할 때 이 프롬프트를 사용하세요.

19 uses

AI PRD 검토 및 개선(AI PRD Review & Improvement)

PRD에 대한 AI 기반 검토를 받으세요 — 완결성, 명확성, 기술 실현 가능성 격차, 누락된 엣지 케이스를 점검합니다. 구체적 개선 제안이 담긴 스코어카드를 반환합니다.

17 uses

제품 최적화를 위한 자율 실험 루프 설계하기(Design an autonomous experiment loop for product optimization)

제품의 무언가가 더 나아질 수 있다는 것을 압니다 — 온보딩 카피, 가격 페이지 레이아웃, 알림 타이밍 — 그러나 A/B 테스트를 수동으로 운영하는 것은 느리고 충분한 변형을 결코 통과하지 못합니다. Karpathy

17 uses

PM 운영을 자동화하는 AI 에이전트 워크플로우 설정하기(Set up an AI agent workflow to automate PM operations)

반복적인 PM 업무(티켓 triage, backlog grooming, status reporting)를 자율적으로 실행하는 AI 에이전트에 위임하고 싶을 때 이 프롬프트를 사용하세요.

15 uses

AI 회의록을 액션 아이템으로(AI Meeting Notes to Action Items)

어수선한 회의 메모나 트랜스크립트를 구조화된 액션 아이템, 결정 사항, 미해결 질문, 이해관계자 후속 조치로 변환합니다. 스프린트 계획, 제품 리뷰, 크로스 펑셔널 싱크에 완벽합니다.

13 uses

Build a 5-step AI adoption playbook for your team

Your exec just declared "AI-first" but the team is stuck on vague mandates, procurement bottlenecks, and no guidance on

12 uses

AI Customer Feedback Classifier

Automatically classify and prioritize customer feedback from multiple channels (support tickets, NPS comments, app revie

12 uses

AI 오케스트레이션 QA와 출시 체크리스트 설정하기(Set up an AI-orchestrated QA and ship checklist)

기능을 출시하려는데 수동 테스트를 넘어서는 종합 사전 출시 체크리스트가 필요할 때. AI 보조 QA가 표준이 되면서, 리뷰-테스트-출시 파이프라인이 실제로 무엇을 다뤄야 하는지 정의 — 코드 리뷰부터 배포 후 카나리

12 uses

AI Product Metrics Dashboard Designer

Design a product metrics dashboard tailored to your product type and stage. Defines the metric hierarchy (North Star → p

11 uses

AI-Powered Daily PM Workflow

Set up an AI-powered daily workflow that automates the most time-consuming PM tasks: standup prep, stakeholder updates,

10 uses

Build an AI-assisted PRD critique workflow

Your PRD reviews are bottlenecked on senior PMs who read every draft. This builds an AI-assisted PRD critique workflow —

9 uses

AI User Research Synthesizer

Transform raw user research data (interviews, surveys, support tickets) into structured insights using AI. Automatically

9 uses

AI Sprint Report Generator

Automatically generate a polished sprint report from raw sprint data (completed stories, velocity, bugs, blockers). Prod

9 uses

Build a personal AI thinking partner for product decisions

You keep going back and forth on a product decision and need a structured way to pressure-test your reasoning. This sets

8 uses

AI Competitive Monitoring Report

Generate a structured competitive intelligence report by analyzing competitor updates, product launches, pricing changes

8 uses

Build an automation opportunity scan for PM work

You're a PM and half your week is spent on meetings, followups, summaries, and doc editing. This scans your last 2 weeks

8 uses

Build an AI cost-per-action monitoring dashboard

Your AI feature works but costs are growing faster than users. This builds a cost-per-action dashboard — cost per user,

7 uses

Conduct an AI feature trust calibration audit

Users either over-trust your AI (act on outputs they shouldn't) or under-trust it (ignore outputs that are correct). Thi

6 uses

Design a human-in-the-loop safety net for an AI feature

Your AI feature is good but not good enough to trust unattended on high-stakes tasks. This designs a human-in-the-loop s

6 uses

Build an LLM prompt library for PM workflows

Your team uses AI for PRD drafts, competitive analysis, and interview synthesis — each person has their own prompt and r

6 uses

Design a conversational AI interaction flow

Users open your AI chat and don't know what to ask. This designs the interaction flow — suggested starts, progressive di

6 uses

Draft a shared AI glossary for your product team

Your team says "agent" and means three different things; "RAG" comes up in planning and half the room nods without under

6 uses

Run an AI feature eval with golden dataset

Your AI feature needs an objective quality measurement — not vibes, not shipping-week demos. This runs an eval with a go

6 uses

Conduct an AI vs. non-AI ROI comparison

You're about to build an AI-powered version of a feature. Before you spend months on it, run the ROI comparison — AI cos

5 uses

Run a prompt regression testing suite

You tweaked a prompt to fix one bug and three other behaviors quietly regressed. This runs a regression testing suite —

5 uses

Design a model upgrade migration runbook

A new model version just dropped and your team wants to upgrade tomorrow. This designs a migration runbook — eval compar

5 uses

Run an AI feature hallucination audit

Users are complaining about AI output that sounds plausible but is wrong. This runs a structured hallucination audit — r

5 uses

Build a PM workflow that auto-triages customer feedback

You receive 500 pieces of customer feedback per week across Intercom, NPS, Slack, email — and your team reads maybe 30 o

5 uses

Design an AI product disclosure pattern for users

Your AI feature generates output and users aren't sure if it's trustworthy. This designs a disclosure pattern — signal t

4 uses

Design an AI feature evaluation rubric before shipping

You're about to ship an AI feature and your only eval is "looks good to the team." This designs a proper eval rubric — t

4 uses