Part of Build Product Strategy With AI-Powered PM Skills
Product & Design Blueprint
Build AI-Shaped Products and Agent Workflows
Skills for product teams building AI-powered features, multi-agent systems, and evaluating AI maturity.
What problem does this solve?
Guides product teams through the distinct challenges of building AI products: assessing whether you're automating existing tasks (AI-first) or redesigning workflows (AI-shaped), engineering context for agents, and orchestrating multi-agent systems. Prevents context stuffing, brittle AI workflows, and misalignment between AI capabilities and product strategy.
How does it work?
Use ai-shaped-readiness-advisor to assess whether your work is AI-first or AI-shaped, then identify which of five PM competencies to build first. Use context-engineering-advisor to diagnose context stuffing (jamming volume without intent) vs. context engineering (shaping structure for attention), with tactical practices like bounded domains and episodic retrieval. Use agent-orchestration-advisor to guide multi-agent workflow design across four dimensions (agent specialization, handoffs, failure handling, state management). Use recommendation-canvas to evaluate AI product ideas across outcomes, hypotheses, risks, and positioning. Output: clarity on AI maturity, context architecture for agents, and multi-agent workflow designs.
Included Skills
No skills in this group
Key Features
ai-shaped-readiness-advisor
Assess AI-first vs. AI-shaped, then recommend which PM competency to build first.
context-engineering-advisor
Diagnose context stuffing vs. context engineering with practices like bounded domains and episodic retrieval.
agent-orchestration-advisor
Guide multi-agent workflow design across specialization, handoffs, failure handling, and state management.
recommendation-canvas
Evaluate AI product ideas across outcomes, hypotheses, risks, positioning, and value justification.
About This Blueprint
- Industry
- Technology
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