Context / Tools / Evals / Safety
AI Product Engineering
Design AI features as probabilistic systems with explicit value, observable behavior, and meaningful human control.
By the end of this path
Prototype and evaluate an AI-assisted workflow with streaming feedback, grounded context, tool boundaries, and a safe failure mode.
Lessons
Six studio lessons
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01
Find the right product seam
Choose work where ambiguity is useful, review is possible, and the model improves an existing outcome. 60 min -
02
Context is the interface
Design instructions, examples, retrieval, state, structured outputs, and context budgets deliberately. 80 min -
03
Streaming and uncertain UX
Communicate latency, sources, confidence, interruption, editing, retry, and graceful failure. 75 min -
04
Retrieval, tools, and agents
Ground answers, constrain actions, design permissions, and separate planning from consequential execution. 95 min -
05
Safety, privacy, and abuse
Threat-model prompt injection, data exposure, harmful outputs, overreliance, and irreversible actions. 85 min -
06
Evals before vibes
Build representative test sets, graders, traces, red-team cases, and release criteria tied to user outcomes. 105 min