~/talk

Don't Build Slop (4 Levels of AI Agent Maturity)

slides:none on file

Breaks agent work into four levels (framework prototyping → cloud fleets) and gives five concrete rules for DIY agents: model every agent as a state machine, prune system-prompt bloat (noting GPT-5.3 prompts are one‑third the size of GPT‑5 prompts), add a CLI for pseudo‑RL testing, avoid architectural slop, and master frontier APIs and reasoning traces. Advocates Kanban boards as the UX claim made March 26 and notes Claude Code shipped the same form factor ten hours before the talk.

AI-written summary · about

  1. 0:00Introduction: Addressing the "mass psychosis" of agent-building
  2. 2:13The Four Levels of Agent Maturity overview
  3. 3:00Level 1: Using existing agent frameworks
  4. 4:13Level 2: Building your own agents (with five rules)
  5. 4:36Rule 1: View every agent as a state machine
  6. 5:55Rule 2: Keep it simple (Avoid unnecessary system prompt bloat)
  7. 7:20Rule 3: Integrate with a CLI for a pseudo-RL pipeline
  8. 8:43Rule 4: Don't build "slop" (Focus on thoughtful architecture)
  9. 9:43Rule 5: Master frontier model APIs (Reasoning traces)
  10. 11:03The UX form factor: Why Kanban boards are best for agents
  11. 13:12Shipping to the cloud for scalability
  12. 17:15Q&A session: Planning and state transitions in Kanban
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