How to Keep Human Oversight Meaningful
Repeated agent review can weaken attention and judgment until human approval stops providing the control it appears to provide.
Practical posts on turning recurring work into controlled Task Machine workflows with approvals, checks, agents on your own machines, and a history you can read.
Repeated agent review can weaken attention and judgment until human approval stops providing the control it appears to provide.
Our coding agents averaged $5.79 per run-hour. Add a developer's supervision, and there is a financial case for trying agents before expanding the team.
Thirty days of real agent work show what AI tasks cost, where human review helps, and which numbers matter when the work must ship.
How small software teams can compare a Task Machine workflow with a hire and decide where human ownership still belongs.
Anthropic's research shows why agent coordination depends on scoped context, auditable memory, authority, and verification.
How small agencies use AI agents to prepare recurring client work while preserving review quality, context boundaries, and trust.
A practical way for indie hackers to delegate recurring marketing, support, research, and operations while keeping control.
How we run growth, make strategy decisions, and turn product feedback into verified work through the same operating loop we build.
Sam Altman's friends are betting on a company with one employee. Here's what an actual week running one looks like.
Argentina's bill for AI-run companies still requires a human administrator liable for outcomes. What that means for anyone building with autonomous agents.
Most AI company tools assume you are starting from a prompt. Real businesses already run. The better model plugs agents into the stack you have.