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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
      • The Verify-First Checklist
      • Differential Testing Against a Reference
      • Property-Based Checks
      • Review the Diff, Not Just the Result
      • When to Refuse to Trust
    • 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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‹Trust and Verification
  1. Topics
  2. AI Skills for VLSI Engineers
  3. Trust and Verification
  4. Verifying AI Output

Verification and Safe Use · Beginner to Intermediate

Verifying AI Output

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

  • 5topics
  • 5lessons

Treat every assistant-produced change as unreviewed until a check passes. The checks are ordinary engineering: compile, lint, simulate, assert, test, and compare against a reference.

Verification pipeline for assistant-written changes.
Each stage rejects a different class of defect; a rejection returns to revision.

Lesson

What it covers

The verify-first checklist

A fixed check order and a worked escape count.

Differential testing against a reference

A runnable comparison of a generated function against a reference.

Property-based checks

Invariants that hold for every input, without a full reference model.

Review the diff, not just the result

Reading small diffs line by line, with a runnable RTL check.

When to refuse to trust

Cases where no check is enough, with compound-risk arithmetic.

Check yourself A generated module compiles cleanly. Why is that not enough to trust it?

Compilation checks syntax and types, not intent. Only simulation, assertions, and comparison against a reference check what it does.

Interview

Carry one sentence per lesson: checks run in a fixed order, differential testing compares against a reference over many inputs, properties encode the specification, diffs are reviewed line by line, and some risks are refused rather than checked.

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See also

  • Hallucination and Failure Modes
  • Evaluating AI Tools for Your Team