aroyburman-codes

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.

Structured behavioral PM framework for AI product roles. Covers: leadership stories, conflict resolution, stakeholder management.

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.

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.

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

Structured product strategy framework for AI product roles. Covers: market entry, competitive positioning, build-vs-buy, long-term vision.

Use when the user's prompt is vague, overloaded, or missing context that would improve the output. Also use retroactively at session breakpoints to surface prompting patterns the user can improve. Coaches without being annoying.

Use after completing significant work, recovering from errors, or at session breakpoints to review actions, synthesize learnings, and write persistent improvements to memory files. Reduces repeated mistakes and user friction over time.

Use when writing any prose — enforces extreme clarity by eliminating AI writing patterns, banned words, structural cliches, and filler. Produces writing that is specific, concise, and has exactly one meaning per sentence.

Use after completing significant work, recovering from errors, or at session breakpoints to review actions, synthesize learnings, and write persistent improvements to memory files. Reduces repeated mistakes and user friction over time.