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Steven Gawthorpe
authored and
Steven Gawthorpe
committed
feat(web): iterate on a result
"Iterate on this" on the Optimized Prompt card makes the result the
starting prompt for another run, keeping the method and dataset, with
a banner naming the source session; the follow-up session is named
"Iteration of <source>". Chaining runs, for example GEPA after a
meta-prompt rewrite, no longer needs copy and paste.
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@@ -76,6 +76,8 @@ Whatever the score, the **Try it** card under the result runs the original and t
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Thumbs-down a result and leave a note ("too long", "changed the meaning") and the next optimization of that prompt takes it into account: the rewrite methods treat it as a constraint, and GEPA's reflection reads it next to every miss. Optimization Insights lists the notes that were used.
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**Iterate on this** makes a result the starting prompt for the next run, method and dataset kept, so you can follow a Meta-Prompt rewrite with GEPA, or evolve twice. The follow-up session is named after the one it came from.
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#### Example 2: measuring against a dataset
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A dataset is a list of **inputs** and the **outputs** you expect for them. The prompt you optimize is the *instruction* that should turn one input into its output; the app appends each input to your prompt where `{input}` goes, runs it, and compares the answer with the expected output.
<pclassName="text-xs max-w-xs">Make this result the starting prompt for another run, keeping the method and dataset. For example, GEPA after a Meta-Prompt rewrite.</p>
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