Designing loops with Fable 5
a concrete recipe for agent harness design, experiment → verifier → correction → verified memory, and a strong reminder that context management is part of the capability.
What it is: dosco sharing Lance Martin’s “Designing loops with Fable 5”.
Gist: argues stronger agent performance comes from loop design, not just model quality: use explicit goals/rubrics for self-correction, separate verifier sub-agents instead of self-critique, and durable memory across sessions. In Lance’s examples, Fable 5 outperformed earlier models by making larger structural bets and benefiting from independent grading plus memory.
Newsletter angle: “better agents need better loops, not just better models” or “independent verification beats self-critique.”
Note: extracted via FXTwitter quote/article payload; content was partially truncated near the end, but core sections on self-correction loops, verifier sub-agents, and memory were captured.