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Authority grounded in evidence
Agents & Knowledge
How enterprise agents receive trusted context, limited authority, human oversight and an evidence trail.
Reading path
Move from the defining idea to practical decisions.
AI and data engineeringPerspective
AI-Ready Data Needs an Owner, a Meaning and an Access Boundary
Data engineering for AI extends beyond retrieval to freshness, business definitions, permissions and a clear path when evidence is missing.
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Agent evaluation and operationsField note
An Agent Evaluation Should End in a Release Decision
Build a repeatable evaluation set around business outcomes, permitted actions and recovery, then use it to decide what an agent may do.
Read field noteProduction AI agentsField note
AI Agents Need an Operating Contract
Tool use, memory and autonomy become enterprise capabilities only when identity, permissions, evidence and interruption are designed together.
Read field noteContext engineeringPerspective
Context Is an Engineered System
Reliable AI depends less on how much information is available than on how well the right evidence is selected, compressed and kept current.
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AI Development Life CyclePerspective
AIDLC: Designing the Delivery System Around AI
An AI-native lifecycle changes the system of work around evidence, review gates and accountability.
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