Agent Oracle — Press

Agent Oracle is an independent publication and AI strategy assistant for operators of small B2B companies. It pairs a diagnostic chat interface with a permanent, edited library of articles and reference entries covering pricing, pipeline, hiring sequencing, churn and workflow bottlenecks. It is published by Masum Huq and funded by reader subscriptions and advertising, with no sponsored editorial.

The releases on this page are the primary record of product and editorial changes. Each one is dated and left online after the fact rather than rotated out, so a claim made in an announcement can still be checked a year later.

Quotations for reporting and commentary are welcome with attribution and a link to the page quoted. Republishing whole articles is not permitted, and neither is training a commercial model on the archive without a written agreement.

Screenshots of the product may be used in coverage. If you need a specific view captured at a particular size, the contact route will get it to you faster than recreating it from a trial account.

Every statistic we publish about our own operations — turn allowances, article counts, update cadence — is verifiable from the public site, and we will confirm any of them on the record. Where we cite an outside source, the link is in the article rather than in a press summary.

If a release contains an error we will correct the page and say what changed. We do not quietly amend announcements after publication.

The about page covers ownership and editorial accountability, the editorial policy sets out how pieces are commissioned and corrected, and the AI methodology page describes precisely where machine assistance sits in the workflow. Those three answer most diligence questions before an interview is needed.

For anything else — comment, background, or a question about how a specific article was produced — the contact page reaches the publisher directly.