Getting started
The fastest path is simple: create a workspace, define a knowledgebase, import your highest-value content, convert repeated text into snippets, and publish through a governed release. This page gives you the exact sequence.
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Sequence
Step 1
A workspace is the operating boundary for your team. It holds members, permissions, destinations, and one or more knowledgebases. Set it up around a real operating unit such as Support, Platform, or Product Education.
Step 2
Do not import everything at once. Choose a knowledgebase with frequent updates and high duplication pain, such as onboarding guides, support macros, or AI assistant policy context.
Step 3
As you import content, identify blocks that appear in multiple places: policy notices, setup sequences, escalation rules, or product constraints. Convert those into reusable snippets immediately.
Step 4
Open the pages that embed each snippet and verify that the composed documents read cleanly. This is where SnippetGraph becomes more than a repository: you can see downstream impact before a publish.
Step 5
Run preflight, inspect what changed, then publish according to the destination policy. For most teams that means a PR-based release path with exact file output and manifest visibility.
Operating advice
First, migrate the content that already causes coordination overhead. Second, establish naming conventions for snippets so people can find and reuse them consistently. Third, make publishing part of the team’s normal review loop rather than an afterthought.
The mistake to avoid is importing a large corpus without modeling reuse. If you do that, SnippetGraph will still hold the content, but you will not get the main benefit: changing shared knowledge in one place with confidence.
Next move
A single support runbook, AI policy pack, or onboarding guide is enough to prove the reuse and release model. Once the team trusts that workflow, expand to the next knowledgebase.