AI solutions for online communities
Practical AI systems for community knowledge, repeated member questions, engagement posts, and positioning experiments—grounded in a project that reached 50 Skool communities.
Max Ferrer built a temporary assistant that community owners could invite into Skool. It learned the knowledge made available inside each community, answered member questions, created engagement posts, and supported About-page tests. The project reached 50 communities and was never monetized.
Read the complete case studyWhere the work gets stuck.
Answers are buried
Members repeat questions because useful knowledge is spread across lessons, posts, and previous conversations.
The owner repeats work
The same explanations, prompts, and engagement tasks take time every week.
Positioning is guessed
About pages are rewritten without a clear test, comparison, or decision rule.
What an operator could build.
Knowledge assistant
Answer member questions from approved community material and link back to the original source.
Measure answer usefulness, escalations, unresolved questions, and source coverage.Engagement workflow
Draft recurring prompts from recent discussions, lessons, and community goals for owner approval or controlled publishing.
Measure responses, useful conversations, and owner time—not raw post volume.About-page testing
Create distinct positioning variants and compare them with one agreed conversion event.
Measure visits, joins, qualified members, and the length of each test.How the system should move.
- 01PERMISSION
Choose exactly which community material the system may use.
- 02RETRIEVAL
Find relevant approved knowledge for each member question.
- 03RESPONSE
Answer clearly, cite the source, and admit when the answer is missing.
- 04ESCALATION
Send sensitive, uncertain, or member-specific questions to a person.
What stays under control.
- Do not train on private member content without a clear permission and privacy basis.
- Show the source used for an answer and provide an easy path to a human.
- Test for outdated lessons, conflicting instructions, prompt injection, and missing context.
- Let community owners review the tone and claims in automatically drafted posts.
Start smaller than you think.
Start with the ten questions the owner answers most often. Build a source-linked assistant for those questions, test it with a small member group, and record unanswered or incorrect responses before adding automatic posting.
Primary sources.
- Oprators Skool assistant case studyOprators
- AI Risk Management FrameworkU.S. National Institute of Standards and Technology
Project outcomes are labeled separately from proposed systems. Regulatory and risk guidance should be reviewed with qualified advisers for the specific business and location.