Story
OpenAI is becoming a deployment company
The harder phase of the AI cycle is no longer model access. It is institutional adoption.
Topic dossier · Reviewed
Agents
Goal-directed software that plans, uses tools, and acts across systems.
Editorial scope
Agents
Goal-directed software that plans, uses tools, and acts across systems.
Essential coverage
Story
Google I/O moved the interface from answers to action
Gemini’s expansion is less about a single model than a new layer across Google’s products.
Story
Cursor is turning the code editor into a control surface
The product’s real ambition is not faster completion. It is supervised software production.
Story
Notion’s AI layer is becoming part of the workspace grammar
The company’s advantage is context—but context also creates new expectations for permission and trust.
Story
Replit’s agent makes the browser an entire software shop
The promise is broad access; the operational question is how people understand what was built for them.
Story
Cloudflare wants agents to run at the edge
The network is becoming a place to execute software, enforce policy, and mediate model traffic.
Story
Weights & Biases is moving from experiments to agent traces
Observability is expanding from training runs to the behavior of production AI systems.
Story
Sierra is making the customer-service agent a company representative
An autonomous interface carries policy, tone, authority, and escalation rules into every conversation.
Story
Cognition is selling the idea of a software teammate
Devin turns the benchmark debate into a question about delegation and review.
Story
Stripe’s AI opportunity runs through economic infrastructure
Payments data, billing logic, and internet businesses give the company a different view of agentic commerce.
Story
The next developer stack includes evaluation by default
Prompting is giving way to traces, datasets, tests, permissions, and rollback.
Feature
The new economics of making software
Agents compress implementation, but the total cost of ownership moves into review, operations, and maintenance.
Interview
Sam Altman on deployment, institutions, and the next constraint
An annotated reading of OpenAI’s public case for moving from models to implementation.
Interview
Amjad Masad on making software creation broadly available
A public-record conversation about agents, education, and the browser as a development environment.
Explainer
What does an AI agent actually do?
A practical guide to planning, tools, memory, permissions, and human review.
Explainer
What changes when software can use tools?
The moment a model can send, buy, edit, or deploy, interface design becomes authorization design.
Research
The public evidence for longer-running agents
What task duration reveals about reliability, supervision, and the changing unit of AI work.
Research
The agent toolchain, mapped
Editors, runtimes, model providers, observability systems, databases, and deployment platforms now form a recognizable stack.
Research
What startup homepages promise in the agent era
A language study of autonomy, speed, teammates, and the disappearance of implementation.
Podcast · Signal Path
Signal Path 01: The deployment gap
Why model capability and organizational usefulness are becoming different stories.
Film
The room where agents are reviewed
A transcript-first visual essay about traces, tests, permissions, and the decision to ship.