CHAPTERS
00:00 The tooling gap between a working demo and production
02:15 Token prices are rising. Why that is the wrong thing to panic about
06:57 What constrains supply: data centers, power, cooling, hardware
08:30 Where generative AI prototypes actually go to die
10:58 Why something that looks 80 percent done is closer to 20 percent
14:16 Silent regressions and testing a non-deterministic system
15:37 What Prove AI is incubating and the three personas behind it
20:26 Guardrails for agents doing finance and legal work
23:02 Context bloat, wasted tokens, and who is supposed to fix it
24:56 The coordination tax in multi-agent systems
27:47 Does AI engineering need proofs the way software engineering did
30:36 Why compliance talk is premature without observability
32:15 Where the human in the loop still matters
34:42 Trusting agents with real money
36:57 The food inspection analogy for cross-vendor accountability
38:50 Building the logging system for AI
39:36 Where to find Prove AI
