Ai shaped readiness advisor

--- name: ai-shaped-readiness-advisor description: Assess whether your product work is AI-first or AI-shaped. Use this when evaluating AI maturity and choosing the next team capability to build. intent: >- Assess whether your product work is "AI-first" (using AI to automate existing tasks faster) or "AI-shaped" (fundamentally redesigning how product teams operate around AI capabilities). Use this to evaluate your readiness across 5 essential PM competencies for 2026, identify gaps, and get concrete recommendations on which capability to build first. type: interactive theme: ai-agents bestfor s: - "Assessing whether your team is AI-first or genuinely AI-shaped" - "Identifying which of the 5 AI competencies to build next" - "Honestly understanding your product organization’s AI maturity" scenarios: - "My team uses AI tools, but I'm not sure if we're working differently or just automating the same tasks" - "I want to assess my product organization's AI maturity and prioritize where to invest next quarter" estimatedtime : "15:20 min" --- ## Purpose Assess whether your product work is "AI-first" (using AI to automate existing tasks faster) or "AI-shaped" (fundamentally redesigning how product teams operate around AI capabilities). Use this to evaluate your readiness across 5 essential PM competencies for 2026, identify gaps, and get concrete recommendations on which capability to build first. Key Distinction: AI-first is a nice-to-have (using Copilot to write PRDs faster). AI-shaped is survival (building a durable “reality layer” that both humans and AI trust, orchestrating AI-workflows s, and shortening learning cycles). This isn’t about AI tools:it’s about organizational redesign around AI as co-intelligence. The interactiveskill guides you through a maturity assessment and then recommends your next steps. ## Key Concepts ### AI-First vs. AI-Shaped | Dimension | AI-First (Cute) | AI-Shaped (Survival) | |-----------|-----------------|----------------------| | Mindset | Automate existing tasks | Redesign how work gets done | | Goal | Speed up artifact creation | Compress learning cycles | | AI Role | Task assistant | Strategic co-intelligence | | Advantage | Temporary efficiency gains | Defensible competitive moat | | Example | "Copilot writes PRDs 2x faster" | "AI-agent s validates hypotheses in 48 hours instead of 3 weeks" | Critical Insight: If a competitor can replicate your AI usage by throwing more people at it, it’s not differentiation:it’s just efficiency (which becomes the bare minimum within months). --- ### The 5 Essential PM Competencies (2026) These competencies define AI-driven product work. You’ll assess your maturity in each area. #### 1. Context Design Building a durable "reality layer" that both humans and AI can trust:treating AI attention as a scarce resource and allocating it deliberately. What it includes: - Documenting what is true versus what is assumed - Immutable constraints (technical, regulatory, strategic) - Operational glossary (shared definitions) - Evidence standards (what counts as validation) - Context boundaries (what to persist vs. retrieve) - Memory architecture (short-term conversational + long-term persistent) - Retrieval strategies (semantic search, contextual retrieval) Key Principle: "If you can't point to evidence, constraints, and definitions, you don't have context. You have vibes." Critical Distinction: Context Stuffing vs. Context Engineering - Context Stuffing (AI-first): Filling space with content without purpose (“paste entire PRD”) - Context Engineering (AI-shaped): Shaping structure to focus attention (bounded domains, retrieve with intent) The 5 Diagnostic Questions: 1. What specific decision does this support? 2. Can retrieval replace persistence? 3. Who owns the context boundary? 4. What fails if we exclude this? 5. Are we fixing structure or avoiding it? AI-first version: Pasting PRDs into ChatGPT; no context boundaries; “more is better” mentality AI-shaped version:CLAUDE.md files, evidence databases, constraint registries; AI-agents -reference; two-layer memory architecture; Research→Plan→Reset→Implement cycle to prevent c