AI Engineering

Moat Definition assesses competitor defensibility and switching costs during PRD v0.3 commercial model work. Use it to decide where to compete, where to wedge in, and what targeting rules to document.

Mobile Adaptation shapes system prompts for phone and tablet screens. It sets length limits, scan-friendly formatting, and answer-first structure, and it can account for mobile-native tools like calendar, reminders, and location.

Outcome Definition defines measurable success metrics and KPI thresholds for a product PRD. Use it when you need to decide what to measure, set evidence-based targets, and establish go/no-go criteria.

Output Formatting defines response length, structure, and style rules for AI outputs. Use it when a prompt needs to adapt to a platform, avoid canned phrasing, or control density and tone.

Persona Definition synthesizes behavioral personas from prior-stage evidence for PRD v0.4 journey mapping and marketing. Use it to define users, target segments, and feature relationships from CFD, BR, and FEA artifacts.

Persona Design defines an AI product’s identity, role statement, capability boundaries, and relationship framing. Use it when writing a system prompt, splitting one model into different roles, or clarifying how the AI should introduce itself.

Personality System designs a base persona with switchable personality overlays and shared meta-rules. Use it when a product needs selectable tones, consistent personality switching, or protection against personality leaking into user-written text.

PRD-Driven Context Engineering helps turn a product requirement into a structured, testable output with checkpoints and evidence. Use it when working from a PRD or other spec and you need a repeatable handoff with quality gates.

Pricing Model Selection chooses and validates a pricing model for a PRD’s commercial plan. Use it to set tiers, pricing floors, competitive positioning, and willingness-to-pay checks when deciding what to charge.

Problem Framing transforms vague product ideas into evidence-anchored problem statements for PRD v0.1. It creates CFD entries, gap assessments, and a structured Why section when starting a new product or feature.

Product Type Classification helps choose whether to build a Clone, Unbundle, Undercut, Slice, Wrapper, or Innovation product from competitive landscape evidence. It records the decision and inherited GTM constraints after PRD v0.2 analysis.

Risk Discovery Interview surfaces market, technical, adoption, resource, dependency, and timing risks through guided questions. Use it during PRD red team review to record mitigations, owners, and priority before stack selection.