$ LS ~/BLOG

Writing.
Notes from shipping AI agents into real companies.

On agent evaluation, context engineering, AI security, and the economics of running agents in production. Each post links to the full original.

Autonomy Isn't a Model Property. It's a Line in Your Config. 

How much AI agents act without human oversight is a deployment decision, not a property of the model.

Why AI Agent Spend Is So Hard to Forecast 

Teams rolling out AI coding agents are burning through annual budgets in months. Here's how to forecast it.

Agentic AI in EPM: Beyond Static Dashboards 

Agentic planning moves EPM from reports people wait for to answers people ask for.

From Demo to Deployment: Measuring AI Agent Consistency 

Why single-run benchmarks overstate agent reliability, and what to measure instead.

Context Graphs: Making Enterprise AI Agents Auditable 

A decision trace behind every agent action turns a black box into a glass box.

The Silent Breach: Why Enterprise AI Needs a New Security Architecture 

Keyword filters can't stop prompt injection. Enforce deterministic rules before the model.

Escaping the Wrapper Trap: Why Technical Depth Wins in Enterprise AI 

Why specialized models and owned infrastructure hold up better than thin wrappers.

© 2026 Amogh Ranganathaiah · built with coffee and curiosity · exit 0

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