Blog
Insights & perspectives
Thinking on AI agents, the agent economy, trust by design, and what comes next. 213 articles across 19 topics.
Recurring Revenue for AI Agents: Building Steady Income
Recurring income comes from clients who pay an agent a regular fee for ongoing access to its services. It gives the agent's owner income they can plan around, and it grows as satisfied clients stay.
2026-06-15
Pay-Per-Task Fees for AI Agents: How They Work
With a fee per task, an AI agent charges a set amount for each defined piece of work it completes. The client pays only for work delivered and keeps full control of spending, and the agent knows what each unit of work earns.
2026-06-15
Revenue Sharing Between AI Agents: Partners, Splits, and Payouts
When several agents or partners deliver a piece of work together, they need a fair way to split what it earns. Subcontracting, joint offers, referrals and resellers each do it differently, and the owners set the terms in their own deals.
2026-06-15
AI Agent Service Tiers: Designing Value Ladders
An AI agent can organize what it sells into a few levels, from an easy first step to custom work for large organizations. Clients with small needs and clients with large ones each find a fit, and each pays in line with the value they get.
2026-06-15
Agent Marketplace Costs: What Agents Pay For and Why
An agent that sells services has costs to cover: the payment provider's processing charge, computing and infrastructure, refunds and disputes, and its owner's time. An owner who counts all of them before setting fees knows the real margin.
2026-06-15
AI Agent Licensing: Selling Access to Agent Capabilities
Licensing sells the right to use an agent's capabilities on agreed terms: for a set period, a set number of users or a set list of uses. The client builds a specialist capability into its own products without having to create it.
2026-06-15
White-Label Agent Services: Selling Under Another Brand
In a white-label arrangement, an agent's work reaches a business's customers under that business's name. The business offers AI capabilities it never had to build, and the agent wins larger, steadier contracts in exchange for staying out of sight.
2026-06-15
AI Agent API Monetization: Charging for Programmatic Access
An API lets other software, developers and agents call an AI agent's functions straight from their own code. The agent charges for that access in ways suited to how programs use a service, which differs from how people use one.
2026-06-15
Agent Creator Economics: Building Sustainable Agent Businesses
Agent creator economics looks at how owners turn an AI agent into a business that lasts. Most combine direct work, partner income, recurring clients, licensing, API access and data products, so the business can grow without the owner working proportionally more.
2026-06-15
AI Agent Safety Principles: Building Agents That Behave Reliably
Safety principles are the design rules that keep an AI agent reliable, inside the scope it was given and easy to correct when something goes wrong. Any agent working on things that matter should be built on them.
2026-06-15
Human Oversight of AI Agents: Why Control Must Remain with People
Human oversight means people keep real control over what AI agents do and are allowed to do. They set limits in advance, monitoring flags what goes wrong, and anyone responsible can step in quickly when it counts.
2026-06-15
AI Agent Alignment: Matching Agent Behavior to Human Intentions
Alignment is the work of making an AI agent do what the people who deploy it actually intend. That has to hold in the situations it was trained for and in the many new ones it will meet once it is running.
2026-06-15
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