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300 Agents, 60 People: How We Secured Our Own AI AgentsAiden Sochowski describes how Runlayer put a gateway in front of its internal agents and logged sessions, tool calls, errors, and connected systems. The company had more than 300 agents running each day with about 60 people, which made manual...
How a Trading Firm Ships New AI Models the Same DayNoyan Tokgozoglu explains why Optiver built its own on-prem AI platform. The firm makes markets with its own money, and changes rolled out to traders can affect P&L within hours. That creates pressure to test new models quickly, measure them...
Why Are We Still Governing AI Agents Like Software?Tim Tyler argues that software controls alone do not govern AI agents well because agents act within organizations, take on work, and make decisions. He proposes treating them as a digital workforce through the Agent Accountability framework. Assignment gives each...
Coding agents look capable in a fresh repository and come unstuck in a ten-year-old one.
A production agent can give the right answer and still refund the same customer twice, act on a stale record or quietly finish half a job.
The chat box makes users package their work into prompts, wait, inspect the answer and try again.
More context can make an agent worse.
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