From CAD chaos to clean engineering context.
What happens when two founders attack two of hardware engineering’s most stubborn bottlenecks: manufacturing documentation and requirements management?
In this episode of AI Across the Product Lifecycle, Michael Finocchiaro speaks with Chris Barton, Co-Founder and CTO of Drafter, and Janis Vavere of Trace.Space about what AI is actually changing in engineering right now, and what still demands deterministic precision, human review, and trust. They get into why legacy tools are failing modern teams, where AI is already delivering real value, why requirements are not going away, and how the first true “OpenAI moment” for engineering may be much closer than most people think.
Timings
00:00 Introduction to Chris Barton and Janis Vavere
00:29 Chris Barton on Drafter and the manufacturing documentation problem
01:04 Janis Vavere on Trace.Space, requirements engineering, and why the category stopped innovating
02:50 The 2022 OpenAI moment: bullishness, skepticism, and early experiments
05:38 Why engineering AI was not good enough three years ago
05:40 Chris on precision, determinism, and why hallucinations are unacceptable in engineering drawings
07:03 How AI changed software development inside Drafter
09:02 How Trace.Space engineers went from skepticism to heavy AI usage
11:10 Where AI is visible inside the product versus buried in the stack
13:53 Deterministic outputs, human review, and reliable AI for engineering
15:54 Whether startups like Drafter and Trace.Space should build their own models
18:18 How these startups coexist with and challenge Siemens, PTC, and Dassault
19:14 Chris on the “gray area” between CAD and manufacturing where work still runs on PDFs, email, and spreadsheets
20:32 Drafter’s 2D strategy and why 2D drawings still dominate the physical world
22:14 Janis on agentic iteration between requirements, drawings, and simulation
23:17 Why legacy requirements tools are frustrating modern engineering teams
25:47 Are the founders more bullish now than they were four years ago?
28:07 Will AI collapse roles across design, manufacturing, and simulation?
28:54 Do requirements still matter in a world of trade studies and optimization?
30:16 Chris on first-principles engineering, design intent, and why requirements do not disappear
31:21 Infinite design space exploration and what AI is unlocking
32:39 Advice for younger engineers: where to work and how to stay relevant
35:45 Audience Q&A: does clear design intent require explicit functional specification?
36:43 Have we had the OpenAI moment for engineering yet?
38:49 Why AI-native tools are exposing just how far behind legacy engineering software is
41:09 Customer digital maturity: from Excel-and-email workflows to agent-first engineering
44:22 Does adopting one AI-native tool trigger broader digital transformation?
46:12 The customer epiphany moment after using Trace.Space or Drafter
46:47 Where to meet Janis and Chris at upcoming events
48:00 Closing remarks and AWS sponsorship mention