Skill engineering and the case against one-shot AI design

Short summary

Paul Bakaus examines why one-shot AI design fails and advocates for skill engineering with human feedback loops ('loopmaxxing'). Key insight: AI agents perform better with ongoing human guidance rather than attempting full autonomy. Bakaus discusses Impeccable as a human-in-the-loop case study showing why human judgment remains critical.

• •One-shot AI design is insufficient; systems need skill engineering and iterative refinement
• •Human feedback loops and ongoing steering improve agent reliability and outcomes
• •Human judgment remains critical even as AI capabilities increase

Generated with AI, which can make mistakes.