The Dify app shows the task, user handoff, and expected outcome.
Dify Workflow Systems
Dify workflows with the operating boundary visible.
CREATE SOMETHING packages Dify as the visible agent runtime, MCP as the tool boundary, and Policy OS as the approval, runbook, and evidence layer.
MCP cards name the tools, resources, owners, and setup steps.
Policy OS names what can run, what stops, and what gets recorded.
Proof
Dify proof should be visible without exposing private traces.
The workflow becomes easier to trust when decision owners can see the app shape, tool boundary, eval posture, sanitized artifacts, and delivery evidence.
A public Dify guide agent backed by read-only MCP cards, evidence summaries, and no raw private traces.
A Dify-backed delivery surface with agent inventory, eval coverage, DSL snapshots, and production-oriented evidence controls.
A repeatable Dify plus MCP workflow pattern for turning media intake into structured operating records.
A Dify-supported review workflow that keeps context, tool access, policy boundaries, and handoff receipts inspectable.
Audience
The same Dify map serves builders, operators, and teams.
Each audience sees a concrete path instead of a generic chatbot pitch.
Start with MCP server cards, Dify DSL snapshots, smoke checks, and setup steps that a new user can run.
Policy OS defines what can run, what needs a human, what stops, and what evidence gets recorded.
Turn proven workflows into templates, setup guides, readable proof, and repeatable delivery steps.
Content path
Teach the control plane before asking for trust.
The guide cluster explains the operating model, validates the workflow, routes teams to the right next action, and keeps the public language focused on the task, boundary, owner, stop point, and evidence.
Dify plus MCP control plane
Explain how Dify becomes the visible agent surface while MCPs carry tool access and Policy OS carries boundaries.
Agent eval gatesShow API health, expected tool use, forbidden tool use, secret refusal, latency, and write confirmation checks.
Ship a Dify app with MCP toolsTurn one workflow into a Dify app with scoped MCP tools, approvals, eval gates, and proof.
Dify vs n8nUse the layer comparison when teams are deciding between automation and agent apps.
Map the agent surface
Bring one Dify workflow that needs control.
I’ll map the app surface, MCP boundary, eval gates, approval states, and evidence path before the workflow becomes a production agent.
Runtime Dify app
Visible workflow and user-facing agent surface.
Boundary MCP card
Scoped tools, resources, and setup details.
Control Policy OS
Approval states, blocked states, evals, and evidence.