Automation prepared the evidence. Human judgment still decided.
Routine evidence moved before review. Approval, rejection, and consequential action stayed with a named person.
Workflow library / 12 operating guides
Start with one business handoff. These guides show how to map the work, connect the systems, place judgment, protect authority, and preserve proof.
Learn how to scope, build, authorize, test, and hand off an MCP server without hiding business rules inside tool code.
A practical guide to selecting, mapping, piloting, and operating one AI-assisted business handoff with explicit ownership.
Turn AI policy into versioned authority rules, approval paths, tests, receipts, and recovery procedures operators can inspect.
Design AI-assisted review so people receive the evidence, options, authority, and time needed to make a real decision.
Evaluate an AI agent with representative cases, explicit outcomes, promotion gates, and operating evidence tied to real authority.
Secure an MCP connection by binding user, tenant, scopes, tools, approvals, secrets, and audit evidence across the full execution path.
Compare MCP and conventional APIs by consumer, discovery, context, authorization, stability, observability, and operating ownership.
Map submissions, evidence, review, approvals, publication, exceptions, and monitoring into one inspectable Marketplace operating system.
Prepare a Webflow app review packet that connects product behavior, permissions, privacy, installation, failure states, and release evidence.
Prepare source-linked template evidence, objective checks, and exception context while keeping subjective quality decisions accountable.
Map one AI-assisted workflow by naming its trigger, records, owners, decisions, actions, exceptions, evidence, and recovery path.
Observe AI-assisted work through source-aware traces, decision receipts, outcome checks, alerts, and recovery actions tied to business state.
An AI workflow system connects a business signal to a bounded decision and a verifiable result. It names records, owners, tools, approval rights, exceptions, and proof instead of treating a model response as completed work.
Begin with one repeated handoff that has accessible source records, a responsible owner, measurable delay or rework, and reversible actions. Map it before selecting models, connectors, or agent frameworks.
MCP guides explain the connectivity and authority layer. Webflow operations guides show those principles inside real review, app, template, and Marketplace boundaries where evidence and human judgment must remain distinct.