AI Agents Need a P&L, Not a Prompt
The useful question is not whether an agent can complete a demo. It is whether the agent owns a measurable business outcome and can improve it without creating hidden operational risk.

Founder & AI Developer
Komninos Chatzipapas is the founder of Orion AI Software, where he helps businesses turn emerging AI capabilities into useful software. His work focuses on practical AI systems, open-source models, automation, and the operational decisions that make AI reliable in production.
The useful question is not whether an agent can complete a demo. It is whether the agent owns a measurable business outcome and can improve it without creating hidden operational risk.
Open-source models are not just a cheaper replacement for API calls. Their real advantage is control over latency, data, product behavior, and the pace of experimentation.
Summarization looks harmless because it feels like compression. In reality, it is a product surface where small hallucinations can become business, legal, and trust failures.