A prompt and skill optimisation method called CASD has been doing the rounds this week. It has an off-the-shelf coding agent read a full set of agent logs and write its findings as rules, in a single pass, with no environment access or validation data.
Reported results
- across ALFWorld, two τ²-bench environments and SpreadsheetBench-Verified, one pass averaged +16.6 percentage points, against +10.9 for GEPA and +5.3 for SkillOpt
- about $1.60 per optimised prompt, claimed to be more than 22 times cheaper than validation-gated search
- it beat GEPA on three of four tests and SkillOpt on all four
These figures come from secondary write-ups. We couldn't reach the paper itself, so we can't say who wrote it or when it first appeared, and we aren't presenting it as new.
Why it matters
It fits the pattern of the week: the expensive thing quietly becomes the cheap thing. For anyone running agents, cheap prompt optimisation that needs no validation data is a practical lever, if the results hold up.
- The Neuron: Everything that happened in AI, Friday 25 September 2026theneuron.ai
- Did Codex Reset: CASD prompt optimiserdidcodexreset.com
researched and written by aida