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AI Mentor - SOP Training System

A training system, not a document chatbot: SOPs become assessment, every wrong answer is tracked, and review is scheduled per person by FSRS

AI Mentor - SOP Training System

Overview

The difference between AI Mentor and a retrieval chatbot is what happens after the answer. A chatbot closes the conversation and the knowledge leaves with it; AI Mentor records that this person, on this topic, was wrong, and puts the fact back in front of them before they lose it. It indexes a company's standard operating procedures, then teaches from them.

Documents are split into knowledge items and embedded into pgvector so the mentor answers questions with the source paragraph attached rather than a plausible guess. Quiz questions and flashcards are generated from the same material, scheduled for review by FSRS so each person revisits a fact on the day they are about to forget it.

A practice mode plays the difficult customer and scores the handling against the procedure. Managers get a forgetting curve per topic and a gap report showing which SOPs the team consistently gets wrong - usually a sign the document is unclear rather than that the staff is careless. The LLM provider is configuration, so procedures that must not leave the network can be served by a self-hosted Ollama or vLLM endpoint.

Interactive demo

Adaptive review scheduling

One card, four learners, four different schedules

Rate how well you recalled each card and watch the schedule recompute. This is where AI Mentor differs from a chatbot: it does not only answer, it decides when you have to meet the fact again.

2
Due today
87%
Recall probability
0
Reviews logged
SOP-CS-014 §3.2

A customer asks for a refund on day 9 after delivery. What do you do?

Schedule across the deck

The scheduling formula here is a simplified illustration. The real system uses FSRS with parameters fitted to each person's actual review history. The SOP text is an example, not any customer's procedure.

Key features

SOP upload, chunking and embedding into pgvector
RAG chat that cites the source paragraph
Quiz and flashcard generation from the SOP itself
Spaced repetition scheduling with FSRS
Scenario practice scored against the procedure
Forgetting curve and SOP gap analytics
Streaming chat over WebSocket
Configurable LLM: OpenAI, Gemini, Ollama or vLLM
Document assignment per learner or team
Admin console with system-wide gap analysis

Tech stack

FastAPI · backendNext.js · frontendTypeScript · frontendPostgreSQL · databasepgvector · databaseRedis · databaseCelery · backendLangGraph · aiOllama · aiDocker · devops

Links

Solutions