CARM'INK Journal / Page 2
A chronological index of published research, engineering notes, field observations and meaningful lab updates.
18 published articles
A production taxonomy for distinguishing chat loops, tool use, bounded workflows, and delegated operational systems by who controls the next step and what they are allowed to change.
Knowledge graphs structure meaning. Operational intelligence also depends on current state, relevant context, inference, rules, identity, tools, and controlled execution.
Enterprise agents need more than document retrieval. A semantic and context layer can make organizational meaning, evidence, freshness, and scope explicit before inference.
Human-in-the-loop AI requires more than a final approval step. It must shape permissions, state transitions, uncertainty routing, provenance, and operational responsibility.
Larger context windows increase capacity, but they do not make information current. Production agents need freshness controls tied to data volatility, task risk, and the moment of action.
Treat model flexibility as an architectural seam: preserve semantics, workflow rules, and authority while local GPU, CPU, and external inference change.
Local model hosting is one sovereignty control. A fuller assessment examines knowledge, identity, inference, data egress, tools, state, and operational authority.
Measure AI cost across retrieval, context preparation, inference, tools, retries, verification, human review, and operational failure.
