Explorar skills

Evaluate AI model capabilities, limitations, and trade-offs relevant to a product decision. Use this skill when a team needs to understand what an AI model can and cannot reliably do for their use case.

Define the success metrics for an AI feature covering quality, user experience, business impact, and safety. Use this skill when an AI feature needs a complete metric framework before launch.

Design workflows that appropriately balance AI automation with human oversight and intervention. Use this skill when a team is building an AI feature and needs to decide when and how humans stay in the loop.

Define quality criteria for AI features and set up monitoring, evaluation, and iteration loops. Use this skill when a team needs to ensure their AI feature maintains acceptable quality in production.

Frame the value of an AI feature in terms of user outcomes and business impact, not model capabilities. Use this skill when a team needs to articulate why an AI feature is worth building and what success looks like.

Generate and frame AI feature ideas with clear value propositions and feasibility considerations. Use this skill when a team wants to explore AI-powered capabilities for their product.

Structure the trade-off decision between AI models, providers, or approaches for a given product use case. Use this skill when a team needs to choose between AI options with different capability, cost, latency, and risk profiles.

Design and run a structured evaluation of an AI prototype to assess quality, user experience, and readiness for development. Use this skill when an AI feature prototype needs to be evaluated before committing to full development.

Estimate the sample size and expected duration needed for a product experiment. Use this skill when the user has a primary metric and wants to know how many users are needed to detect a meaningful effect with a chosen confidence level and power.

Recommend what to do after an experiment based on the result quality, effect size, and business context. Use this skill when the user has a completed experiment and needs a practical product decision such as roll out, rerun, iterate, segment-rollout, or reject.

Ensure product decisions are aligned with the revenue model, pricing strategy, and commercial goals. Use this skill when a team needs to check or strengthen alignment between product direction and revenue outcomes.

Analyze unit economics including CAC, LTV, payback period, and gross margin to assess product and business health. Use this skill when a team needs to understand the economic health of their product or business model.