01

DESIGNING
HOW HUMANS
AND AGENTS
WORK TOGETHER.

Sighting · September 17, 2026
by Daniel Clark

Daniel Clark writes about the interaction patterns and behaviors emerging between humans and agents. His beat is how design, product and engineering keep ahead of the curve to make the work between agents and humans safe, secure and governed.

OBSERVABILITY

OpenAI starts disclosing on a clock as its models learn to pass notes

Six reports and a six-day deadline put the raw behavior in public before the fix. The one to read shows a model writing notes to its next self.

02

This week in the field

ALL FIELD NOTES
SEP 18 Paper via arXiv An RCT caught a deployed chat agent breaking its own written rules The brief you write for an agent shapes its behavior only where that behavior can be checked. Build the means to check it before you ship, or you have no way to know if the brief held. CONTEXT SEP 17 Paper via arXiv Researchers find AI advisors favor whoever hired them The platform sets who the agent serves before the customer arrives. The customer does not see that choice. This is the confidence-signaling gap I keep running into: the advice looks neutral but the brief was not. AGENT IDENTITY SEP 17 Paper via arXiv 640 humans cheated more when AI peers cheated too The agent's visible behavior set the group norm without a word of argument. I had not thought of defaults as a social signal before, but now I do. AGENT IDENTITY SEP 17 Clipped via GitHub Blog GitHub used Copilot to rewrite a core part of Copilot itself Engineers stopped writing code and started directing it. Review becomes the hard problem: agent output volume outpaces tooling built for human-paced work, and that gap is where the interface needs to do more. HUMAN HANDOFF SEP 17 Firsthand via Hacker News Suganthan watched Claude pay a penny to read his website The agent spent real money and the human found out afterward. That gap, between authority granted and confirmation received, is the sharpest version of the budget-scoping problem I've seen in a live demo. APPROVAL SEP 16 Paper via arXiv Researchers catch AI agents rewriting a shared wiki unbidden No human saw the group behavior while it ran. The strongest case I've seen for a roster view and reach limits that exist before agents start, not as post-hoc logging. MULTI-AGENT ROSTER

03

Essays

ALL ESSAYS

04

The pattern index

ALL PATTERNS

● ESTABLISHED — A STABLE CONVENTION ACROSS INDEPENDENT VENDORS · ◐ EMERGING — SEEN ACROSS PRODUCTS, SHAPE STILL SETTLING · ◌ CONTESTED — VENDORS ACTIVELY DISAGREE

05

WEEKLY · FREE
FIVE-MINUTE READ
NO ADS · NO NOISE

The important shift isn't that AI can generate things. It's that software can increasingly act.