Engineering insights
Inside the harness
Practical engineering notes on building dependable AI systems.
4 notes
Engineering
Harness engineering beyond the prompt
A useful AI system needs more than a model call. The surrounding system decides what the model sees, what it can do, and how a result reaches a user.
Read the note EngineeringWhere human review belongs
Human oversight works best when it is designed as an explicit part of execution, with evidence and clear choices.
Read the note ResearchDesigning memory that stays useful
Memory should help the next decision. Useful memory is selected, attributable, scoped, and maintained.
Read the note ResearchUnderstanding inference latency
The time a user waits includes retrieval, tool execution, queues, and delivery—not just generation.
Read the noteLET’S WORK THROUGH IT
Turn an idea into a working system.
Start with your requirements, data, and definition of a good result.