The agent loop is plan-act-observe in a cycle: the model decides a next action, a tool executes it, the result feeds back, and the model decides again. Designing the loop — when to stop, how to recover from errors — is most of building a reliable agent.
The book · Volume 7 of 7
AI for Video: A Complete Guide to Intelligence in Video Products: From Real-Time Pipelines and Agents to Serving, Cost, Compliance, and Verticals
The agent loop is where most agent reliability problems live: when to stop, how to recover from a failed tool call, and how to keep cost bounded. Volume 7 covers agents as engineering in detail, loop primitives, frameworks, memory and tools, plus serving and cost per stream-hour, so you can design an agent loop that behaves in production. Written by Nikolay Sapunov, CEO at Fora Soft.
Your agent works in demos, but its agent loop stalls or overspends in production?
We will review your agent loop and send a redesign with stop conditions, error recovery and a cost cap per session. 250+ video products shipped since 2005.
