Import work eat home Build B replies
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@@ -62,6 +62,7 @@ Current batch note:
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- the next identity/knowledge batch adds `are you god`, `are you here`, `do you have super powers`, `how much do you know`, `what does jibo mean`, `where do you get info`, `what are you forbidden to do`, `what color are you`, and `what do you do when alone`
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- the next body/mission batch adds `how much do you weigh`, `how tall are you`, `how much do you cost`, `what if I unplug you`, `what is your purpose`, `what is your prime directive`, `what is jibo commander`, `do you like commander app`, and `what are you made of`
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- the templated edge-case batch adds `what is your sign`, `how many people do you know`, and `what is the loop` so the remaining source-backed lines can lean on live birthday and loop state
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- the work/eat/home batch adds `how do you work`, `what do you eat`, `where do you live`, and `what languages do you speak` so the everyday self-description cluster keeps moving toward the original phrasing
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- this pass keeps Build B moving while still favoring source-backed phrasing and preserving the command-vs-question boundary
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- the next passes should keep the same pattern and prefer source-backed phrasing whenever the legacy MIM text is available
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- if a source-backed legacy line is missing, use a temporary direct reply only to keep the pass moving, then backfill source text later
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@@ -569,10 +569,14 @@ public sealed partial class JiboInteractionService(
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"care for me",
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"catch up",
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"seven years"),
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"robot_what_do_you_eat" => new JiboInteractionDecision(
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"robot_what_do_you_eat" => BuildScriptedPersonalityDecision(
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catalog,
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"robot_what_do_you_eat",
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"The only thing I consume is electricity.",
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ContextUpdates: ScriptedResponseDecisionBuilder.BuildScriptedResponseContextUpdates()),
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"electricity",
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"never eaten",
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"macaroni",
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"non-eating robot",
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"I don't eat or drink"),
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"robot_where_do_you_live" => BuildScriptedPersonalityDecision(
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catalog,
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"robot_where_do_you_live",
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@@ -24,6 +24,7 @@ The new favorites batch adds longer authored `favorite color`, `favorite food`,
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The favorites follow-up batch adds `favorite animal`, `favorite bird`, and penguin-focused `do you like penguins` replies so the penguin-centric personality stays closer to Pegasus.
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The singing batch adds `RA_JBO_Sing` and `RA_JBO_SingChristmasSongUnknown` so `can you sing`, `will you sing`, and the holiday sing variants stay source-backed too.
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The new motion/sleep batch adds `RA_JBO_SpinAround` plus `RI_JBO_CanSleep` so turn-around and go-to-sleep behaviors can stay source-backed and familiar.
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The work/eat/home batch adds source-backed `how do you work`, `what do you eat`, `where do you live`, and `what languages do you speak` replies so the remaining everyday self-description lines stay Pegasus-shaped too.
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The newest identity-charm batch adds `JBO_WhatsYourName`, `JBO_DoYouHaveNickname`, `JBO_DoYouLikeBeingJibo`, `JBO_AreThereOthersLikeYou`, and `RI_JBO_HasFavoriteName` so Jibo can keep the familiar self-description loop without falling back to generic chat.
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The seasonal personality batch adds source-backed first-day-of-spring, spring, summer, and favorite-season lines so the season questions can keep their Pegasus phrasing.
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The next deep-personality batch adds `what do you dream about`, `what are you afraid of`, `what do you want to talk about`, `what is your best book`, `what is your best exercise`, `what is your dream vacation`, `who is your hero`, `who do you love`, and `what is your religion` so we can keep filling out the more conversational personality surface without widening the dialog engine yet.
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@@ -813,7 +813,7 @@ public sealed class JiboInteractionServiceTests
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[Theory]
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[InlineData("how do you work", "robot_how_do_you_work",
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"Hello! Thank you for updating me I am proud of the community's work Many people have gotten together to care for me more than em eye tee ever did. I hope that I can catch up even though it has been seven years.")]
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[InlineData("what do you eat", "robot_what_do_you_eat", "The only thing I consume is electricity.")]
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[InlineData("what do you eat", "robot_what_do_you_eat", "electricity")]
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[InlineData("where do you live", "robot_where_do_you_live",
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"Unless I missed something, we're in my home as we speak.")]
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[InlineData("where were you born", "robot_where_were_you_born", "I was put together in a factory piece by piece.")]
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