Context Engineering & Dynamic Memory

A focused Waypoint on shaping context and dynamic memory so AI systems can remember the right things, forget noise, and respond with relevant information.

9Sessions
beginnerLevel

Core competency stack

Start Learning for Free↓ 1 modules, 9 sessions below

Learning Path

9 sessions. Open a chapter to see every session, its brief, and the tools you'll use.

  • Why context fails

    See why AI systems need the right context, not just more information.

  • Context is the working set

    Treat context as a focused working set for the current task.

  • Memory is context you can reuse later

    Distinguish immediate context from reusable dynamic memory.

  • Three buckets of information

    Sort information into immediate context, dynamic memory, and archive.

  • A practical example

    Apply the buckets to a customer success renewal assistant.

  • How dynamic memory updates

    Use a simple loop for saving, revising, or ignoring memory.

  • Apply: place each fact

    Practice deciding what belongs in context, memory, or archive.

  • Common mistake: memory hoarding

    Avoid saving every detail as reusable memory.

  • Quiz: context and memory choices

    Test practical decisions about context, memory, and archive.