1. Start with your problem
Each guide begins with a business pain you already feel: private knowledge, AI-assisted coding, local AI, regulated workflows, social production, commerce automation, or executive AI strategy.
AI factory guide
How real AI systems become guides and courses you can use.
The best AI content is not generic prompt advice. It comes from systems with clear architecture, tradeoffs, failure modes, and real outcomes. TheoSym turns those patterns into public lessons for you while keeping client details private.
2. Learn the architecture
The moving parts in plain English: agent, retriever, router, model, evaluator, human reviewer, data boundary, and deployment. No private code, client data, or proprietary implementation details.
3. See the evidence
Categories of capability, Sam's Forbes articles and press, project history, and concrete outcomes, so you can judge whether the team understands the system behind the advice.
4. Practice it in training
Each guide links to a course or the weekly Coding with AI cohort. When you need more, you can move to a build sprint, a private agent setup, or executive implementation.
5. Get the right team for advanced work
TheoSym handles AI builds and SMB implementation, plus ChatGMP, DeepGMP, and LIMS AI for GMP and lab teams. QGI supports enterprise-grade reasoning, engines, embeddings, and advanced model work. Aurora TIC, a separate company, handles lab testing and inspection.
Three ways into one topic.
Guide
Explains the problem and the decision framework.
Course
Turns the framework into modules, exercises, and quizzes.
Examples
Show the architecture and outcomes behind real systems.