Skip to main content

AI User Guides

What is this section?

This section is the entry point for practical AI guides in Saurus. It is not a theory section and not a leaderboard. The goal is to help you answer concrete questions such as:

  • Which AI should I start with?
  • Which product surface do I actually need?
  • Do I need a user tool, a developer API, a coding agent, or an enterprise rollout?
  • Where do I find the next guide for my specific use case?
How to read these guides

Most provider guides in this section follow the same pattern:

  1. a mental model of the provider's product surfaces,
  2. the main use cases and trade-offs,
  3. a quickstart path,
  4. a decision guide,
  5. official links and related internal guides.

If you only need orientation, read the mental model and the decision guide first.

1. What lives here​

This area bundles four kinds of guides:

Guide typeWhat you getBest starting point
Provider guidesOverview of a whole AI stack: products, API, models, quickstart, decision helpStart in section 4 below
User rollout guidesStructured onboarding and adoption guidance for teams and companiesStart with Claude in the Company
Tool guidesPractical how-tos for a specific tool or workflowStart with AI Tools Directory or MCP Inspector
Skill / workflow guidesReusable practices for getting more value from AI systemsStart with Skills Guide

2. Start here by job to be done​

If you need…Start with…
one main AI assistant for daily workOpenAI Guide, Claude in the Company, or Google Gemini Guide
an enterprise-first AI stack with retrieval and secure deploymentCohere Guide
a Google-centric stack across app, API, and workspaceGoogle Gemini Guide
open-weight and self-hosting directionMeta Llama Guide or DeepSeek Guide
a coding-first editor or agent workflowCursor Guide plus OpenAI Guide or xAI Grok Guide
a modern AI API with strong tool use and business rollout optionsOpenAI Guide
a live-search-heavy or Grok-centered stackxAI Grok Guide
practical MCP inspection and testing helpMCP Inspector (Web UI)

3. Fast recommendations​

If you do not want to read everything, these are the shortest useful paths:


4. Provider guides​

These guides explain a whole provider stack from the user point of view.

ProviderGuideBest for
AnthropicClaude in the CompanyTeam rollout, governance, structured adoption
OpenAIOpenAI GuideMainstream assistant + API + coding workflow
GoogleGoogle Gemini GuideGemini app, AI Studio, Developer API, Workspace
MistralMistral AI GuideEU provider, Studio, Vibe, enterprise customization
MetaMeta Llama GuideOpen weights, self-hosting, Llama ecosystem
DeepSeekDeepSeek GuideLow-cost API, open weights, China residency trade-offs
CohereCohere GuideEnterprise retrieval, multilingual, secure deployment
xAIxAI Grok GuideGrok, live search, large-context API, voice/media

5. Workflow and tool guides​

These guides are narrower and more operational.

AreaGuideBest for
Coding workflowCursor GuideAI-first editor usage
Tool landscapeAI Tools DirectoryFast orientation across categories
MCP inspectionMCP Inspector (Web UI)Field-by-field setup in the browser
SkillsSkills GuideWhat skills are, when to use them, and how they work
Skill examplesMust-have SkillsReusable AI working patterns
Skill authoringSkill AuthoringDesigning your own reusable instructions

6. When to leave this section​

Use these user guides to decide where to start.

Then move deeper when needed:

The point of this section is orientation first, implementation second.