Brandon

A context engine connects code, decisions, permissions and expertise so agents can make changes that fit an organization without repeatedly rediscovering its history.

• An agent starts where a new employee starts
  1:11 ↗
• More autonomy makes context management harder
  4:31 ↗
• A migration that erased a necessary dependency
  9:43 ↗
• Why more search and more context are insufficient
  10:48 ↗
• Turn connected evidence into usable context
  15:48 ↗
• Put context into planning, review and support
  23:31 ↗
• What the engine is—and how synthesis keeps permissions
  32:05 ↗
• From human corrections to a collaboration graph
  39:45 ↗
• Use the expert graph to decide where to look
  54:56 ↗
• Expose context to autonomous work
  1:03:14 ↗
• Contribution counts are only the first signal
  1:08:50 ↗
• The workshop encounters a real access boundary
  1:13:00 ↗
• Corrections become memory, then seed the next task
  1:20:42 ↗
• Measure the whole task, including corrections
  1:27:45 ↗
• Keep the graph fresh—and account for operating it
  1:34:41 ↗