ab-methodology
FreeUse for reusable ab methodology recipes in software and coding-agent work.
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Use for reusable suspicion belief recipes in software and coding-agent work.
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On-demand recipes (1). Trigger→action heuristics; pull the relevant one when its situation arises.
generic · ⚠ session-derived, unverified
Do not collapse two distinct failure modes into one conclusion: an action that fails on first attempt may mean a transient/preliminary condition was not met (e.g. an agent never actually reached the target rectangle -- a navigation failure), not that the action is fundamentally invalid (e.g. the target belongs to someone else). Use a first-attempt failure to trigger a RETRY of the precondition (re-navigate) before concluding the target is invalid; treating the transient failure as permanent evidence corrupts belief. Conversely, once a conclusion is legitimately reached that a target is not actionable, make that knowledge STICKY -- persist it and prevent re-committing to the same target rather than recomputing and re-forgetting each visit, since persistent negative beliefs prevent oscillation. <sub>sources: opencode:ses_1fecece4dffe779FmeajgdwhMD</sub>
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Use for reusable ab methodology recipes in software and coding-agent work.
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Use for ab methodology recipes when optimizing a Coworld player.
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Use for ab methodology recipes in scripted Coworld policy optimization.
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Use for Crewrift-specific ab methodology recipes when optimizing a player.
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Use for reusable agent workflow collab recipes in software and coding-agent work.
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Use for agent workflow collab recipes in scripted Coworld policy optimization.
The English summary is being prepared. Showing the original description.