An agentic product is not “a product with AI.” It is a product where part of the process is dynamically directed by an LLM inside a deterministic architecture with explicit trust boundaries. Most teams ship agent demos; few ship agents that survive contact with production. The difference is almost never the model — it is the architecture, the harness and the eval discipline around it. The Agentic Product Standard is our field-tested, openly published reference for that work, plus a Claude Code skill set that puts it directly into your editor.
A complete, opinionated playbook — from first principles to a Definition of Done — that any team can adopt today.
Determinism by default, agency by necessity. Architecture beats framework. Harness over model. Context engineering as the core discipline. Eval-driven development as non-negotiable. The spine of every decision in the standard.
Every degree of autonomy must be earned, not granted upfront. A concrete ladder for deciding how much freedom an agent gets — and what guardrails each rung requires.
Reusable structures for wiring agents together that outlive any single framework — so your design survives the next library churn.
98% of reliability lives in the code around the LLM. A layer-by-layer map of that harness: the constant you invest in while the model stays the variable.
agent-builder for shipping one production-grade agent and agentic-product-architect for multi-agent products — skills that auto-load the right guidance while you design, build and review.
A 10-question decision checklist and a 12-point production-readiness audit, so “done” means the same thing for every agent you ship.
To help you with any questions that are not listed here, we offer free, no-obligation consultations
Yes. The Agentic Product Standard is published under the MIT license on GitHub (Moai Team-Team-LLC/agentic-product-standard). You can read it, fork it, and adopt it commercially with no strings attached.
Engineering teams and founders building products where an LLM directs part of the process — anyone who has shipped an agent demo and now needs it to survive production.
Read STANDARD.md once, then install the Claude Code skills with a single command (npx skills add Moai Team-Team-LLC/agentic-product-standard). The skills load the right guidance as you design, build and review.
The standard tells you how; AgenticMind is the flagship reference implementation you can run — an auditable, self-improving knowledge & memory layer that plugs into the standard over MCP.
Because architecture is what remains when the model improves. We codified the practices we use to ship reliable agents, and opened them so the whole field can build on a common, battle-tested foundation.
Yes — we design, build and review agentic products against this exact standard. Reach out below and we will map it to your use case.
More from our agentic practice — the standard we build to, the open-source layer that implements it, and the team that ships it.
Want to apply the Agentic Product Standard to your product? Let’s talk.