Purpose of AI Knowledge Base

What It Is and Why It Matters

AI Knowledge is a shared library of short, labeled snippets that give Motion’s AI the facts it needs to stay accurate, relevant, and on-brand. Each snippet works like a concise “truth statement” — a reusable fact that AI Chat and AI Employees can pull into their responses.

Why it matters:

• Grounds AI in your reality → Instead of guessing or defaulting to generic responses, AI uses your stored facts to answer in context.

• Reduces miscommunication → Shared team snippets ensure everyone — human and AI — works from the same source of truth.

• Speeds up decisions → Less time clarifying background, more time acting on insights and outputs that reflect your workflows.

AI Knowledge makes Motion not just smarter, but aligned with you and your team’s specific context.

Example

• Title: Company Values

• Content:

  • Integrity in every decision

  • Customer-first product development

  • Collaboration across teams

  • Continuous learning and improvement

How it works: When someone asks in AI Chat: “What are our company values?”, the AI can instantly answer using this snippet — instead of pulling a generic answer from the web. And because it’s shared with the team, everyone (human or AI) responds consistently.

Mental Model

AI Knowledge works best when you think of it as a library of short snippets — short, reusable facts the AI can draw on when answering questions or completing tasks.

• Snippets as facts → Each entry should be concise and specific, like “Company founded in 2015” or “Pods are led by Omid (Eng), Harysh (Product), and Gareth (Design).”

• Background vs. Active context

  • Background: Knowledge that quietly informs AI (e.g., “We use British English spelling in all customer-facing docs”). It doesn’t need to be repeated every time.

  • Active: Knowledge you highlight during a conversation or skill run (e.g., linking a specific product FAQ snippet when AI drafts a support reply).

• Reusable across features → Once stored, snippets can be referenced by AI Chat, AI Employees, and even Docs, ensuring consistency wherever AI is working.

The mental model: treat Knowledge like giving AI a pocket-sized handbook of truths — concise enough to reuse everywhere, but specific enough to keep responses accurate and on-brand.