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Course contents

  • Getting Started with AI for VLSI Engineers5
  • Just Enough AI: Models and Context15
  • Prompting13
  • Trust and Verification14
    • Hallucination and Failure Modes
    • Verifying AI Output
    • Evaluating AI Tools for Your Team
  • Using AI for Engineering Work17
  • Engineering Walkthroughs7
  • Practical Foundations for AI Workflows4
  • Engineering Data5
  • Retrieval-Augmented Generation6
  • Agents and Tool Use18
  • Agent Design8
  • MCP and Skills6
  • Multi-Agent Design6
  • Practical Capstone6
  • Tokens, Cost and Latency12
  • Agentic Workflows for Chip Teams18
  • Interview and Judgment10
  • AI Skills: Full Course Index
  • Working with AI Glossary
  • Working with AI Cheatsheet
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‹AI Skills for VLSI Engineers
  1. Topics
  2. AI Skills for VLSI Engineers
  3. Trust and Verification

Verification and Safe Use · Beginner to Intermediate

Trust and Verification

How assistants fail on engineering tasks, how to verify their output, and how to judge AI tools.

  • 3topics
  • 14lessons

Assistant output can look correct while being wrong, from invented names to subtle bugs. This part covers common failure modes, checks that catch them, and small evaluations for judging tools.

Learning path through the trust and verification topics.
Suggested order. Failure modes first, then verification, then tool evaluation.

The three topics

Topic

Lessons

Description

Time

Hallucination and Failure Modes

5

How assistants fail on engineering tasks, and the checks that catch each failure.

40 min

Verifying AI Output

5

A habit and checklist for checking assistant-written changes, with differential, property and diff checks.

40 min

Evaluating AI Tools for Your Team

4

A small test set, a fair baseline, and cost per accepted result for judging AI tools.

30 min

Tip

Verify the diff, not the summary: re-derive numbers and names from the source instead of trusting the assistant's explanation of its own change.

Check yourself Why can a confident, well-explained assistant answer still be wrong?

Assistants produce plausible output without grounding, including invented names, wrong numbers, and bugs that compile, so confidence carries no evidence. The Hallucination and Failure Modes topic covers each failure and its check.

Interview

Typical screening questions from this part: common failure modes and their checks, differential and property checks, and how to judge a tool with a small test set and cost per accepted result.

Related topics

  • Up: Working with AI course hub

  • Previous: Asking clearly

  • Before sharing: data policy and approved tools

  • Next: Everyday engineering assistance

PreviousNext: Hallucination and Failure Modes

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Up nextHallucination and Failure Modes

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See also

  • Getting Started with AI for VLSI Engineers
  • Just Enough AI: Models and Context
  • Prompting