strategysoul

Explain an AI or LLM concept at the depth the person actually needs — working definition, the mechanism, where it breaks, and the decision…

Design a small hands-on project that teaches an AI or LLM concept by building it — scoped to the hours available, with a milestone ladder…

Cut an AI paper, model release, or announcement down to what actually changed and whether it affects you — the claim, the evidence behind…

Build a structured plan for learning an AI topic — diagnose the real starting level, set a capability target, sequence units by…

Decide whether a new AI tool, model, or technique is worth adopting — define the job to test it on, set decision criteria before trying…

Execute a test pass against a running build — a local server, a preview or PR deployment, or a live dev environment — by driving a real…

Draft a Product Requirements Document from a feature idea, problem statement, or rough notes — problem, users, goals, scope, a…

Design and build a prototype that tests a product idea before it is built — takes a PRD, story, or rough idea as its source, picks the…

Check a prototype against the user stories and test scenarios it is supposed to satisfy — build a coverage map, walk each scenario as…

Turn a vague complaint or observed defect into a reproducible bug report — steps to reproduce, expected vs actual, environment, evidence…

Answer a decision-grade question by researching it across several angles at once, attacking every finding before believing it, and…

Generate a test pass from a PRD, user story, or acceptance criteria — happy paths, boundaries, error handling, permissions, and…