AI Guides
Technical AI knowledge for sound decisions
AI Guides brings together stark AI's technical guides and tools. Start with Agent Access, RAG architecture, safe AI agents, LoopLatch, or Agent Skills according to the decision in front of you.
One hub for five connected perspectives
Technical AI decisions are connected: content has to be discoverable, knowledge access needs boundaries, and agents need verifiable working methods. AI Guides provides a shared entry point for these perspectives.
Each guide stands on its own. Together they form a path from public agent access through knowledge architecture and safety principles to practical tools for local agent work.
Choose the right entry point
From a topic to the next sound decision
The hub helps with orientation without mixing distinct architecture and product questions.
- 01
Narrow the question
Decide whether your question concerns website access, knowledge architecture, agent safety, or a concrete working method.
- 02
Study the guide
Use the specialist page for terminology, boundaries, architecture decisions, and related links.
- 03
Review the next step
Apply the guidance to your own use case only after a human review of the relevant constraints.
01
Architecture before automation claims
The guides separate product value, technical interfaces, and operational boundaries. This keeps clear what an architecture enables and what must still be proven in a real deployment.
02
Public content with traceable sources
Canonical URLs, structured data, and machine-readable catalogs complement visible HTML. They neither replace editorial quality nor guarantee discovery, indexing, or citation.
03
Human control remains explicit
Preparatory agent actions, local loops, and read-only knowledge access are described with clear stops and verifiable outcomes.
Other ways into stark AI
Questions about AI Guides
In what order should I read the guides?
There is no fixed order. Start with your current question and follow the related links when an architecture or safety boundary needs more depth.
Are these guides public API documentation?
No. They explain concepts, product boundaries, and illustrative examples. An interface is binding only when it is explicitly published as a contract.
Want to apply a guide to your use case?
Discuss the architecture, boundaries, and a realistic first validation step with stark AI.