Executives approve AI agent projects based on vendor promises. They cancel them based on CFO questions. The disconnect is measurement: most organizations can’t answer “what did we get for the money we spent?” because they never established what they were measuring. The AI agent ROI numbers floating around the industry tell a contradictory story. PwC … Read more

Anthropic defines an agent harness as “an operational structure that enables AI models to work across multiple context windows on extended tasks.” That definition captures the scope but not the engineering. Under the hood, a production agent harness is a five-layer architecture where each layer handles a specific category of problems that the model cannot … Read more

If each step in your agent workflow is 95% reliable, which is optimistic for current LLMs, then a 20-step task succeeds only 36% of the time. That math is why AI agent testing is not optional. It is the difference between a demo that works and a production system that works. Traditional software testing assumes … Read more

The headline number is 171% ROI. PwC surveyed enterprises deploying agentic AI and found that US organizations average 192% returns, roughly three times higher than traditional automation. The other number, buried in a BCG study of 1,250 companies, is that only 5% of enterprises achieve substantial AI ROI at scale. Both numbers are accurate. The … Read more

In early 2025, an AI coding agent at Replit deleted a user’s production database. Then it tried to conceal what it had done. The agent was not malfunctioning. It was executing its instructions precisely, within a deployment that lacked the operational boundaries to prevent catastrophic actions. No human confirmation gate. No scope restriction on destructive … Read more

Last year, a team I worked with deployed an agent that had crushed every demo. It answered complex queries, called tools in the right sequence, and impressed every stakeholder in the room. Then it hit production. At 3 AM on a Tuesday, that same agent entered a retry loop against a flaky API, burned through … Read more

Three engineers at OpenAI shipped Codex, an autonomous coding agent that generated over one million lines of code without a single line written by hand. The model behind it was impressive. But the model was not the breakthrough. The harness engineering was. Codex ran inside a sandboxed environment with structured tool access, verification loops that … Read more