Where this was said
Advice for Leaders: Top-Down Vision and the Three Tiers of Tokens
At 25:37 · chapter starts 25:35
Angela acknowledges that Kavak gets inbounded constantly by enterprise leaders who intuitively understand the imperative but can't move. Alejandro offers two unambiguous prescriptions. First: AI transformation cannot be bottom-up. Hackathons and sponsored use-cases produce noise, not compounding value. A leader needs to articulate what the company looks like in 3 to 5 years and give the organization a single direction to march [1] — Alejandro Maza Ayala "Most companies measure AI adoption by token spend and call it progress. Kavak built a 3-tier framework: Tier 3 tokens go to autonomous agen…" 26:30 . Second: measure the right things. Most companies have mistaken token adoption for progress. Alejandro's three-tier framework cuts through this. Tier 3 tokens — those powering autonomous agents with measurable per-token ROI — are the only ones that compound. Tier 2, which funds developer tooling with indirect measurability, is useful but not transformational. Tier 1, where employees use consumer AI tools with no accountability, is largely invisible spend. The goal is to move as much spend as possible into Tier 3, where every token can be traced to a business outcome.
Most companies measure AI adoption by token spend and call it progress. Kavak built a 3-tier framework: Tier 3 tokens go to autonomous agents with measurable ROI per token; Tier 2 to dev tooling with indirect measurability; Tier 1 is employees using ChatGPT with no accountability. Only Tier 3 compounds.
When Claude Opus 4.5 arrived, Alejandro realized Kavak's entire multi-agent graph architecture — two years of work, profitable, scaling — was the wrong paradigm for the new level of intelligence. They tore it down and rebuilt around long-running single agents with virtual machines, memory, and CLI access to every company API.
