LearnDash tells you when a student enrols, finishes a lesson, fails a quiz or submits an essay. An AI agent in FlowMattic can read that moment and act on it: write a study plan, draft essay feedback for the instructor, or choose the next course and enrol the student, all from your own WordPress site.
8 triggers 7 actions 6 example workflows 4 ready-made templates Unlimited runs
When this happens in LearnDash8 triggers
Do this in AI Agents1 action
1. TriggerLesson Completed2. ActionExecute AgentWhen LearnDash fires Lesson Completed, FlowMattic runs Execute Agent in AI Agents with the data from that event.
You build this in the FlowMattic workflow builder on your own site. See the setup steps
Each one uses only triggers and actions the two integrations ship today, plus FlowMattic's own tools. Where the library has a ready-made template, import it instead of building from scratch.
Ready-made templateThe agent reads the lesson title and the student's progress and writes a short note about what comes next, sent by email so learners keep going.
Lesson CompletedExecute AgentEmail (SMTP)
View the template Ready-made templateOn enrolment the agent turns the course outline into a week-by-week plan sized to the student, so self-paced learners start with a schedule.
Enrolled Into a CourseExecute AgentEmail (SMTP)
View the template The agent writes feedback against your rubric, then Human in the Loop holds it until an instructor approves or edits it, so no AI text reaches a student unchecked.
Essay SubmittedExecute AgentHuman in the LoopEmail (SMTP)
A Filter keeps only failing scores. The agent looks at the quiz and points the student to the lessons that cover it before the next attempt.
Quiz CompletedFilterExecute AgentEmail (SMTP)
From your catalogue, the agent picks the best next course for the graduate. A Router passes only course IDs on your allowed list to Enroll Into Course.
Course CompletedExecute AgentRouterEnroll Into Course
Ready-made templateGraduates get a congratulation written around what they actually studied, with one or two suggested courses, which works well for paid course catalogues.
Course CompletedExecute AgentEmail (SMTP)
View the templateBy the end, each lesson a student completes sends them a short, personal note written by your agent.
Under Connects in FlowMattic, add a connection for the AI provider your agent will use, such as OpenAI or Anthropic.
Create a workflow with the LearnDash Lesson Completed trigger, choose the course, and complete a lesson as a test student so FlowMattic captures the data.
Add AI Agents Execute Agent, give it a goal such as a three-sentence note in your teaching voice, and pass in the student name, course and lesson.
Add an Email step to the student's address with the agent's answer as the body, test it and switch the workflow on.
1. Trigger in LearnDash
Lesson Completed
2. Action in AI Agents
Execute Agent
Fields mapped from the earlier steps (a typical setup)
| From LearnDash | To AI Agents |
|---|---|
| Student first name | Agent input: name |
| Course title | Agent input: course |
| Lesson title | Agent input: lesson |
| Student email | Email recipient |
A trigger starts a workflow. An action is something FlowMattic does in the app as a step.
LearnDash and AI Agents connect through FlowMattic on your own site, with no separate automation account in the middle and no charge per run.
Progress, quiz scores and essays are read on your own WordPress server and go only to the AI provider you chose.
FlowMattic runs are unlimited, so a course with thousands of learners pays only your AI provider's usage, not a fee per workflow run.
Because LearnDash has actions here, the agent's decision can enrol a student, add them to a group or mark a course complete in the same workflow.
It can read any LearnDash event, such as an enrolment, a finished lesson, a quiz result or an essay, and then write a message, draft feedback or decide on a next step like enrolling the student in another course.
It can draft a grade and feedback against your rubric. We suggest a Human in the Loop step so an instructor approves the text before it is emailed to the student.
AI Agents supports several providers, including OpenAI and Anthropic. Add the one you use under Connects and choose it in the Execute Agent step.
Not if you limit it. Give the agent a short list of course IDs in its goal, then use a Router so only those IDs reach Enroll Into Course.
Yes. Added Into a Group and Group Completed can start a workflow, and Add to Group or Remove From Group can follow the agent's decision, for example moving a cohort member into an advanced group once they finish.
Did not find your answer? You can browse the help center or ask us directly.
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30-day money-back guarantee Unlimited workflows and runs Self-hosted
Reviewed 27 Oct 2026. The example workflows are written with AI from the real triggers and actions of both integrations and checked against them. LearnDash integration 1.0.4, AI Agents integration 1.0.