This book offers a structured methodology for applying generative AI to the functional verification of complex semiconductor designs, without sacrificing engineering accountability. It presents the VEGA framework-Verification Engineering through Guided AI-a complete verification lifecycle that treats AI as a governed accelerator, preserving traceability between design intent and verification evidence from specification through silicon sign-off. Provides verification architects with a reliable framework to reduce pain of "ungoverned AI" Describes prompts, templates, and quality gates, drawn from actual design verification challenges Offers first comprehensive, methodologically grounded treatment of AI-assisted hardware verification "VEGA arrives at exactly the right moment, when AI tools are powerful enough to transform verification productivity but undisciplined enough to undermine it. Vikash's intent-centric framework equips verification engineers, team leads, and architects to maintain quality and traceability from test plan through sign-off. A must-read for every hardware verification professional." - Gaurav Jalan, Vice President, Engineering, Marvell "AI is becoming part of verification, but using it without structure can create more risk than value. Vikash's VEGA framework gives engineers a practical way to apply AI while preserving design intent, traceability, review discipline, and human accountability. This is a timely and useful book for verification engineers, leads, and students looking to understand where AI-assisted verification is heading." - Yunus Akhtar, Senior SoC Verification Engineer, Microsoft "What stands out is the discipline. This isn't AI as a shortcut, it's AI as a governed accelerator, with verification quality made measurable rather than asserted and sign-off reframed as an evidence-based argument you can actually defend. Essential reading for any architect or lead bringing LLMs into a serious verification flow." - Manish Tanwar, DV Architect, AMD
