Durable Agents
Building AI Agents That Survive Production
Venkat Chitturi · Founder & CEO, Technoidentity
The board meeting was impressive. Forty-seven tickets cleared in twelve minutes. $2.8M in annual savings. A two-month payback. Four months later the agent is shelved. Not because the model stopped working; it still scored 94%. Because the system around it collapsed the first time something unexpected happened.
This is the pattern. In a March 2026 survey of 650 enterprise technology leaders, 78% had agent pilots and 14% had reached production scale.1 Of the five gaps those leaders named most often, one is about the model. The other four are about the system around it.1
Written for the CTOs, VPs of Engineering and architects who have been handed an agent project and need it to work in production. It diagnoses why agents fail, defines the five properties a durable agent needs, sets out the architecture in three layers, and gives the four-phase path from pilot to production.
Inside
- Part I
The Agent Graveyard
The 86% Problem. Anatomy of a Fragile Agent. The Coordination Tax.
- Part II
The Durable Agent Architecture
Defining the Durable Agent. The Execution Layer. The Coordination Layer. The Decision Layer.
- Part III
From Pilot to Production
The Scaling Playbook. Governing Durable Agents. The Durable Agent Organisation.
The three Monday-morning moves
- 01Audit every agent project against the five properties.
- 02Rebuild the one that would hurt most if it failed.
- 03Find or grow the person who will hold the durability bar.
Also by the author
Built to Endure — the durable product engineering book this one stands on.
A note on the numbers
The book cites figures that were the best available when it went to print. This site keeps them current and cites each one. Sources.