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Practical thinking on operational AI, architecture, integration, and platform engineering for organizations with real complexity and regulatory weight.
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A directory of markdown files with YAML frontmatter, published by Google Cloud as an open specification. What OKF requires, what its trust fields record, and which of your problems it leaves untouched.
Read insightAn agent filling a form today reads the rendered page and infers. WebMCP lets the page declare the same capability as a named tool with a schema. Two attributes on the form, one per field, and no script. The demonstration below runs in this article.
Read insightThere is a widely held expectation that web pages end up as a prompt box. WebMCP is the more modest version of that future: the application stays visible, and a prompt is added as a second way to operate it. Two things have to exist for that to work. Only one of them is yours to build, and whether you build the second one as well is the decision about who controls the agent.
Read insightA form completed through WebMCP should run the same authentication, authorization and business rules as one filled in by hand. The security question WebMCP actually raises is not whether the backend needs to change. It is whether the action a valid, authorized agent just took is the action the user meant.
Read insightOne internal interface between your applications and whichever model serves them. What belongs in that layer, and the point at which not having one starts to cost you.
Read insightThe choice is usually settled by data residency and contracts, not by cost or model quality. Here is what each option costs you in practice.
Read insightA working demo is not a working system. The difference between AI that ships and AI that stalls is operational integration, not model quality.
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