aroyburman-codes

Write exec-ready stakeholder updates, decision documents, and status reports. Adapts tone and detail level for different audiences (exec team, engineering, cross-functional). Structured for fast decision-making.

Structured technical PM framework for AI product roles. Covers: RLHF, evals, RAG, LLM deployment, system design, API design.

Interactive PM mock interview simulator for AI product roles. Plays the role of interviewer, asks follow-ups, scores answers against hiring rubrics, and provides detailed feedback. Supports all round types: product sense, strategy, analytical, technical, behavioral.

Score and rank features or initiatives using RICE, ICE, weighted scoring, or custom frameworks. Generates a prioritized backlog with clear rationale. Use for: sprint planning, roadmap decisions, feature trade-offs.

Framework for navigating AI safety, ethics, and capability trade-off discussions. Covers responsible scaling, content policy, bias, privacy, dual-use, and alignment.

Real-time competitive analysis of the AI market. Covers foundation models, products, pricing, moats, and strategic positioning across major AI labs and emerging players.

Structured analytical and metrics framework for AI product roles. Covers: metrics, goal-setting, root-cause analysis, trade-offs, A/B tests.

Generate launch readiness checklists for product releases. Covers engineering, QA, design, legal, marketing, support, and rollback planning. Adapts to launch size (feature flag, beta, GA) and AI/ML-specific requirements.

Generate end-to-end PM case studies from real AI product launches, pivots, and decisions. Analyzes what happened, why, what the PM likely decided, trade-offs made, and lessons learned.

Synthesize user interviews, survey results, feedback, and support tickets into structured insights. Identifies themes, pain points, and opportunities. Generates research reports ready for stakeholders.

Rewrite or generate PM documents with extreme clarity. Applies principles of canonical docs, numbered lists over bullets, force-ranked priorities, BLUF structure, and visual-first communication. Transforms vague PM writing into precise, actionable docs.

Structured product sense/design framework for AI product roles. Covers: design a product, improve X, productize a capability.