Plexara
Learning
AI, MCP, and the Governed Context Layer
Four Paths
Pick Your Starting Point
New to AI? Start with AI Concepts. Already fluent with LLMs but new to MCP? Go straight to Plexara MCP. Ready to use the platform day to day? Asset Workflows is the applied workbook. Architecting a production deployment? Insights collects the technical perspectives you will want on hand.
AI Concepts
LLM & Frontier Models
Plain-language foundations on large language models, frontier models, tokens, and context windows. Start here if AI is new to your team.
Plexara MCP
What is the Model Context Protocol?
How MCP works, why it matters, and what Plexara adds on top of the open standard. The anchor path for understanding how agents talk to governed data.
Asset Workflows
Dashboards, Exports, Collections
Hands-on recipes for the asset system: creating reports, exporting data, sharing, collections, editing, metadata, retrieval, and reproducible prompts.
Insights
Technical Perspectives
Architecture decisions, design philosophy, and perspectives on building the governed context layer for enterprise AI agents.
How to use this curriculum
Four tracks, one path through
The 100-series AI Concepts is the foundation: tokens, context windows, frontier versus specialized models, what an AI agent actually is. Read these first if AI is new to your team or if you want to ground vocabulary before going deeper.
The 200-series Plexara MCP is the platform curriculum. It covers what an MCP server actually contains, how Plexara extends the protocol with semantic enrichment, memory, and governance, and what a real engagement looks like end to end. Read these to understand how Plexara differs from a vanilla MCP gateway.
The 300-series Asset Workflows is the applied workbook. Eight short lessons covering the day-to-day mechanics of the asset system: creating reports and dashboards, exporting data, sharing, collections, editing, metadata, retrieval, and writing reproducible prompts. Start here once you have the mental model from the 200 series.
Insights are editorial pieces, not reference material. Each one captures a single architectural argument, a comparison against an alternative approach, or a perspective on where the market is going. They stand alone and can be read in any order.
Suggested paths
- AI-fluent reader: skim 110 (MCP vs APIs) and dive into the 200 series.
- Reader new to AI: 101, 102, 103, 105 build the foundation; then start the 200 series.
- Architect or platform lead: skim Insights first to understand the design philosophy, then go deep on the 200 series.
- Analyst or daily user: read 205 in the 200 series, then jump straight into Asset Workflows for the recipes.
Next
Portal Tour
See how Plexara puts everything you have just learned into the hands of your teams.