WebAI/Practical guides
WEBAI · LEARNING WORKSHOPS

Learn it. Then do it

20 step-by-step workshops to build, teach, publish and verify the AI-driven Web responsibly.

MODULAR PATHS

Pick your workshop

These are teaching checklists. Completing all steps is not a certification or a scientific validation.

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Creators and designers

Publish AI-assisted Web content

From generation to an original, accessible and attributed article.

35–50 min0 / 6 steps
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Developers

Build an evidence-led RAG assistant

Trace evidence and separate retrieval from generation.

50–75 min0 / 6 steps
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Developers

Design a safer agentic experience

Least privilege, controlled tools and traceable actions.

60–90 min0 / 6 steps
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Educators and readers

Verify a generated answer

Turn a persuasive answer into testable claims.

25–40 min0 / 6 steps
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Educators and readers

Examine media provenance

Understand the difference between media history and factual truth.

30–45 min0 / 6 steps
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Creators and designers

Audit an AI-generated web interface

Go beyond a polished screenshot to real usability.

40–60 min0 / 6 steps
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Organizations

Choose an AI tool for your organization

Compare solutions using documented criteria, not promises.

45–60 min0 / 6 steps
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Researchers

Run trustworthy research monitoring

Collect leads, then qualify before sharing.

40–55 min0 / 6 steps
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Organizations

Design an AI Web crawler policy

Separate search, training and resource access.

45–60 min0 / 6 steps
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Creators and designers

Publish a useful page for generative search

Create valuable content without artificial ranking promises.

45–65 min0 / 6 steps
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Developers

Understand and audit an A2A agent card

Study discovery, interfaces, capabilities and limitations.

50–75 min0 / 6 steps
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Developers

Prototype a low-risk WebMCP tool

Explore an experimental API with authorization and feedback.

45–70 min0 / 6 steps
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Developers

Secure a remote MCP connection

Control scopes and token validation for tools.

60–90 min0 / 6 steps
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Organizations

Test indirect prompt injection in a Web assistant

Expose the risks of treating retrieved content as instructions.

50–75 min0 / 6 steps
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Researchers

Evaluate a RAG assistant with evidence

Measure retrieval and answer faithfulness separately.

70–100 min0 / 6 steps
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Researchers

Investigate media provenance

Understand what a C2PA signature does and does not establish.

50–70 min0 / 6 steps
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Developers

Test an on-device AI feature

Compare capabilities, fallback and resource requirements.

45–70 min0 / 6 steps
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Creators and designers

Evaluate the accessibility of a generative assistant

Apply WCAG principles to dynamic content.

45–75 min0 / 6 steps
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Developers

Describe a resource with JSON-LD

Keep metadata consistent with visible content.

40–60 min0 / 6 steps
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Educators and readers

Teach verification of generated content

Distinguish fluent answers from evidence-led conclusions.

50–75 min0 / 6 steps
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