Shared project memory for people and AI agents: documents, ERD, diagrams, boards, design mockups.
AI SKILLS · Foundations
Understand AI’s capabilities & limits
Recognize where generative AI helps and where human judgment is needed.
Why this skill matters
Choosing the right kind of task is more useful than trying every new tool.
What to learn
- Distinguish generation from prediction
- Recognize uncertainty and missing context
- Identify tasks needing human ownership
Before you begin
No technical prerequisites
PUT IT INTO PRACTICE
Build a work sample
Choose five recurring work tasks. Explain which could use AI, which should stay human-led, and why.
Evidence of progress
A task map with clear boundaries and a reason for each choice.
This exercise is an original ToolGrail suggestion. Use public, synthetic, or approved data.
LEARNING RESOURCE
Introduction to generative AI and agents
Microsoft Learn · Resource checked 2026-11-04
Open learning resource ↗This may be documentation, a framework, or a training path. Product access, accounts, or paid licenses may be needed for hands-on exercises.
Tools you could practice with
Matched by related tasks. Use a tool you already have access to; these are examples, not course requirements.
Talk to your AirBuild Agents, follow your Projects and run your Team from any MCP client.
Build and work with databases, applications, reports, and automations using Airtable’s AI assistant.
The plan your AI agents work from. Project management and customer feedback for agent teams.
Skill descriptions, exercises, and priorities are editorial. They are not professional qualifications or guarantees of employment. Read our skills methodology →
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