Get help debugging AI-generated code: classify the error, form effective debugging prompts, isolate issues, and decide whether to fix or start over.

Run through a deployment checklist before launch: security, database, monitoring, analytics, performance, and pre-launch testing.

Plan an AI-assisted prototyping session: scope MVP, select AI coding tool, define build sequence, and estimate effort for a solo PM-builder.

Review AI-generated code from a PM perspective: spec compliance, security red flags, data model soundness, UX issues, and error handling.

Get PM-friendly guidance on a technical architecture decision — database, hosting, auth, monolith vs microservice, API design.

Create a vibe coding specification document optimized for AI coding assistants. Covers problem statement, user flows, data model, API contracts, UI descriptions, tech stack, and constraints.

Review AI-generated code from a PM perspective: spec compliance, security red flags, data model soundness, UX issues in frontend code, and error handling against product requirements.

Guide PMs through debugging AI-generated code: how to read error messages, form effective debugging prompts, isolate issues, and decide when to fix forward vs start over.

Pre-launch deployment checklist for PM-builders: domain setup, SSL, environment variables, database backup, monitoring, error tracking, analytics, SEO, performance, and security basics.

Plan an AI-assisted prototyping session: scope the MVP, pick the right AI coding tool, define the build sequence, and estimate effort for a solo PM-builder.

Technical translator for PMs — helps understand systems, codebases, APIs, and technical concepts in PM-friendly terms without oversimplifying. Use when trying to understand a technical system, investigating code for product decisions, preparing for architecture discussions, or translating engineering proposals into product implications.

Help PMs make technical architecture decisions without deep engineering background — database selection, hosting, auth patterns, monolith vs microservice, API design. Written in PM-friendly language with decision trees.

Write a natural-language specification optimized for feeding to AI coding assistants. Covers problem statement, user flows, data model, API contracts, UI descriptions, tech stack, and constraints.