About AI-Buzz
Companies are
worth understanding.
AI-Buzz is an independent field guide for curious people who build and work with AI. Start with what a company makes, explore the idea behind it, and look more closely when a product change matters.
A small selection, with a point of view
The field guide starts with six companies: Granola, OpenAI, Anthropic, Google, Mistral AI and Cursor. Each profile explains a product idea, gives you official places to start, and connects it to another company for a stated reason. The questions and interpretations labeled “The AI-Buzz reading” are editorial analysis.
This is not a ranking. There are no paid placements, affiliate links or company-submission fees. Inclusion does not establish product quality, accuracy or suitability for your work. We have not tested the products in these profiles.
When news changes something practical
The change briefs go deeper on six notices across five of these companies: shutdowns, migrations and plan changes. Each names the exact dependency and access surface, explains the date, and offers checks you can take into an engineering issue. Granola’s introductory profile does not have an action brief.
You can answer these questions from the linked vendor documentation. Our contribution is the selection, scope, cross-source checking and practical reading. This is a dated selection, not a complete news feed.
How we read the evidence
Vendor statements and AI-Buzz suggestions are labeled separately. Company profiles and briefs link the primary pages and state when we reviewed them. A profile review does not refresh its older change briefs. Public claims receive an independent source check. AI helps with research, code and writing; its output is never the evidence.
A scheduled shutdown, an earliest possible date and a customer’s renewal date mean different things. We keep those distinctions beside the date. If two sources conflict, the brief shows the conflict and withholds a verified replacement. Unknown dates stay unknown.
This is a dated documentation reading. We have not executed these migrations or tested endpoint availability. Sources can change after review. There is no continuous monitoring, account connection or complete guarantee of coverage.
Corrections and source history
We keep published interpretations in the public repository. A substantive correction must explain what was wrong, when it was discovered and which earlier reading it changes. A vendor’s later announcement is a separate event. We do not backdate a discovery.
For these change briefs, source URLs, section pointers, retrieval times and response hashes are kept where available. A hash identifies retrieved bytes; it cannot recover an unarchived page or prove when wording changed. We do not republish full source pages without an established permission basis.
Report an error with the brief URL and supporting source. Reports on GitHub are public.
The reference shelf
The coding comparison retains one documentation baseline for three exact configurations: Cursor Cloud Agents with repository-backed Team Pools, Copilot cloud agent on a standard GitHub-hosted runner, and interactive Junie CLI with OpenAI BYOK. It keeps the original source clocks, conditions, unknowns and saved releases. There is no earlier coding change history or live performance result.
Two manually assembled Mistral records preserve documented model-identifier changes and conflicts. They do not establish exact live routing switch times. The HTML and JSON remain noindex.