Independent research on AI agents for small business

The Agent Brief is an independent publication about AI agents for small and midsize businesses. We research what these systems actually do, what they cost, where they break, and what a business gives up when it adopts one. Then we write the version we would want to read before signing a contract.

What The Agent Brief is

We cover the commercial side of AI agents: the software, the implementation work, the security review, and the operating changes that decide whether a deployment pays for itself. Our guides are written for businesses with real constraints — a finite budget, no AI department, and a customer waiting on the other end of the transaction.

We are not a vendor directory, a review farm, or a news site that republishes press releases. Every guide starts from primary documents, published research, and vendor documentation, and every recommendation carries its reasoning in the open. When the evidence is thin, we say so rather than filling the gap with confident language.

Coverage includes definitions and foundations, cost and ROI models, security, implementation, and industry playbooks for fields such as HVAC, dental, law, ecommerce, real estate, and accounting.

Who it is for

The Agent Brief is written for the people who make the decision and then live with it: owners, operators, practice managers, office managers, and small teams without an AI department.

Some readers are evaluating their first agent and need a budget conversation they can defend. Others are cleaning up a pilot that never delivered what the demo promised. Both need the same thing — a clear account of what the tool does, what it costs, and where the risk sits — without a lecture on machine learning.

We assume you are busy and skeptical of vendor claims. That assumption shapes every page we publish.

How we research

Primary sources first. Our starting point is the underlying document, not a summary of it. That means survey reports from the Upwork Research Institute, data from the U.S. Chamber of Commerce, research from MIT Project NANDA, forecasts and survey work from Gartner, and security guidance from OWASP. When we cite a vendor's documentation, we treat it as a vendor claim and label it that way.

Definitions travel with numbers. A statistic without a definition is decoration. Every figure we publish states what it measures, who was measured, when the measurement was taken, and whether it is measured or forecast. If a source cannot support that level of description, the number does not go into a buying decision.

Dates and versions. AI products change monthly. We record the date a price or feature was checked, and we update a page when the underlying facts move rather than leaving a stale figure in place.

Reviews on a schedule. Pages are reviewed on a recurring cycle, not only when a reader complains. Our editorial policy sets out the cadence and the correction process.

What that means for a number

Consider a familiar claim: an AI tool saves a business six hours a week. Before repeating it, we ask whether the figure is self-reported or time-tracked, whether it is per employee or per team, which country and firm size were studied, and which tasks were included. If the source cannot answer those questions, the figure is interesting but not actionable.

We also separate a forecast from a measurement. A prediction about 2028 is a model of the future; a survey result is a snapshot of what a defined group reported. Both can be useful, but they answer different questions, and we never present one as the other.

Editorial independence

The Agent Brief is independently owned and operated. We are not affiliated with Google, OpenAI, Anthropic, Microsoft, or any other vendor mentioned on this site. No vendor reviews, approves, or pays for coverage, and no vendor can purchase a favorable conclusion, a ranking position, or a place in a guide.

We do not accept sponsored articles, paid placements, or vendor commissions. Display advertising is served by Google AdSense and is kept visually separate from editorial content. Advertisers have no influence on what we publish or how we rank products. Our editorial policy explains the separation in detail, including how we would disclose affiliate relationships if we ever use them.

We also do not present ourselves as something we are not. We are a research publication, not a testing lab, a consultancy, or a licensed adviser. When a conclusion rests on vendor documentation or third-party testing rather than our own hands-on work, we say so.

Corrections and review

We get things wrong sometimes, and we correct them in public. Substantive corrections are annotated with the date and a short description of what changed. Small fixes, such as a typo or a broken link, are made without a note.