Talk to AI Like a Pro: Context Engineering and Memory Systems

Better answers begin with better control of the information an AI system can use. Part IV of Talk to AI Like a Pro treats context as a carefully selected working set. Learn to choose sources, preserve exceptions during compression, ground answers in retrieved evidence, reconcile long documents, and manage workspace memory with clear limits. Original cases include conflicting policies, retrieval misses, misleading summaries, and persistent project state. Worked prompts, illustrative outputs, exercises, and a rigorous capstone show how to keep evidence traceable and uncertainty visible. For readers moving beyond basic prompts into document analysis and continuing AI workflows. The methods are system-agnostic and emphasize review, source quality, privacy, and the limits of memory.