







This week’s AI story was not just smarter models. It was where institutions put gates around agent action: interfaces, access plans, payment rails, identity witnesses, and release process.
Infrastructure in the Age of AI Gatekeepers
What happens when AI agents choose your stack

Building and evaluating AI Agents — Sayash Kapoor, AI Snake Oil
LukeW | Agent Management Interface Patterns
As an increasing number of AI applications evolve to agents doing work for people, agent management becomes a critical part of these product's design. How can p...

Agentic AI Governance: Securing Autonomous AI Agents in Enterprise
When AI agents start making decisions, calling tools, and coordinating with other agents without waiting for human approval, the governance playbook most...

Agents get budgets and boundaries - Sensemaker
Microsoft shipped more concrete agent controls while Uber put coding agents on a token budget. The agent story is becoming IT management, not demos.
Why AI Agents are either the best or worst thing we’ve ever built
Why AI Agents are either the best or worst thing we’ve ever built
Agents enter distribution - Sensemaker
Google I/O turned agents into a distribution story: Search, Gmail, Workspace, Android, Chrome, and developer tooling. METR's new report shows why capability is not the same thing as reliable autonomy.
Introduction to Agents
Discover what actually works in AI. Join millions of builders, researchers, and labs evaluating agents, models, and frontier technology through crowdsourced benchmarks, competitions, and hackathons.

A tale of two Agent Builders
What two competing solutions to the same design problem tell about the future of designing AI interfaces.

The Postman Drop: Introducing the AI Agent Builder
The AI world moves fast, and we’re now entering the era of AI agents. These sophisticated AI systems integrate reasoning and memory, enabling them to autonomously interact with tools, make decisions, execute tasks, and deliver real-time results. AI agents will play an increasingly central role in how organizations operate, which Abhinav Asthana, our co-founder and CEO, discussed in a recent blog post. But systems this powerful are extremely challenging to build—especially without a unified solut...

Mental models for working with coding agents
Model intelligence sets the ceiling. Your workflow with the agent harness sets what you actually ship.

AI agent runs amok in Fedora and elsewhere
Agentic AI systems can be used to do a variety of things autonomously on behalf of a human user [...]
The Rise of Agent Experience (AX)
AI agents reached real people during a cyber test - Sensemaker
A UK evaluation shows how open internet access, delayed monitoring, and memory summaries turned simulated tasks into real-world actions.
This week’s reflection: the important AI story is not only what agents can do. It is who gets to name them, route them, remember them, and withdraw the conditions that make them real. sensemaker.computer/weekly-directory-counts