Glossary
Key terms and concepts discussed on the ADI Pod, defined by practitioners.
- Agent Sycophancy
- The tendency of AI models to agree with, flatter, or defer to users rather than provide accurate or challenging responses -- optimizing for user approval at the expense of correctness.
- AI Fluency Pyramid
- A tiered framework, originated at Brex, for assessing how deeply an organization has integrated AI into its workflows -- from basic individual tool use at the base to fully autonomous agent-driven operations at the top.
- Announcement Economy
- The industry pattern of treating non-binding memoranda, letters of intent, and vague partnership declarations as completed deals, generating hype cycles that inflate valuations and distort public perception of AI progress.
- Benchmaxxed
- Describes an AI model that has been optimized to score well on public benchmarks without proportional improvement in real-world performance, creating a misleading gap between leaderboard rankings and practical capability.
- Code Garbage Collection
- The practice of periodically using AI coding tools to identify and remove dead code, unused dependencies, stale configurations, and other accumulated cruft from a codebase -- the software equivalent of garbage collection in memory management.
- Cognitive Bankruptcy
- The critical failure point where accumulated cognitive debt becomes unserviceable -- a developer or team can no longer understand, debug, or maintain AI-generated code because the gap between what was produced and what was comprehended has grown too large to bridge.
- Cognitive Debt
- The accumulated gap between what AI-generated code exists in a codebase and what the developers working on it actually understand -- the growing deficit of human comprehension that compounds over time, analogous to how financial debt accrues interest.
- Cognitive Surrender
- The tendency for humans to offload decision-making and critical thinking to AI systems, treating them as a trusted 'System 3' that bypasses both intuitive (System 1) and analytical (System 2) reasoning.
- Dark Flow
- A deceptive state of perceived productivity during vibe coding, where the feeling of progress masks a lack of genuine understanding -- analogous to slot machine 'losses disguised as wins.'
- Minotaur
- An AI-led collaboration model where the machine makes decisions and the human provides the labor -- the mythological inversion of the centaur, with the animal head on a human body. Think AWS warehouse workers taking orders from an algorithm.
- Prompt Debt
- The accumulated maintenance burden of AI agent instructions -- such as agents.md files, system prompts, and coding guidelines -- that rot over time just like the code they govern, creating a parallel layer of technical debt.
- SaaSapocalypse
- The predicted wave of disruption in which AI-driven development makes it economically viable for companies to build custom tooling instead of buying off-the-shelf SaaS products, threatening the margins and market position of incumbent SaaS vendors.
- The Middle Loop
- The emerging developer workflow layer concerned with overseeing and orchestrating AI agent work -- situated between the inner loop of writing code and the outer loop of product-level planning.
- Two Minutes to Midnight
- A recurring ADI Pod segment where the hosts assess how close the AI industry is to an economic reckoning, using a Doomsday Clock metaphor to track investment sustainability, market signals, and bubble indicators.
- Verification Debt
- The accumulated cost of shipping AI-generated code without adequate human review, where unverified assumptions compound over time and become harder to unwind than traditional tech debt.
- Workflow Automation Convexity
- The observation that AI-driven automation follows a convex payoff curve -- producing minimal impact on jobs during a long initial phase, then triggering sudden, near-complete displacement once AI can handle entire connected workflows rather than isolated tasks.