Port pizza MIMs and update 1.0.19 planning

OpenJibo/docs/feature-backlog.md

@@ -8,6 +8,8 @@ Use it as the working queue when picking the next feature or bug-fix slice. The
 
 The live regression checklist for release closeout is [regression-test-plan.md](regression-test-plan.md).
 
+The active `1.0.19` execution shape is tracked in [release-1.0.19-plan.md](release-1.0.19-plan.md). This file keeps the full `1.0.18` evidence trail for parity reference.
+
 Status key:
 
 - `implemented`: present in current source and covered by focused tests
@@ -24,9 +26,9 @@ Tags:
 - `stt`: transcript reliability
 - `storage`: persistence, media, backups, or hosted export
 
-## Current `1.0.18` Snapshot
+## Historical `1.0.18` Snapshot
 
-Current cloud version: `1.0.18`
+Historical cloud version at closeout boundary: `1.0.18`
 
 Runtime truth:
 
@@ -573,16 +575,18 @@ Current release theme:
 
 ### 21. How Old Are You / Robot Age Persona
 
-- Status: `discovery`
+- Status: `implemented`
 - Tags: `protocol`, `content`
-- User goals:
+- Result:
   - `how old are you`
-  - answer from stored first-powered-up or first-cloud-seen metadata
-  - optional zodiac/personality flavor when available
-- Questions:
-  - where stock Jibo stores first-power-up or birthdate metadata
-  - whether a stock persona path exists
-  - whether first OpenJibo pass should use first-cloud-seen metadata if stock data is unavailable
+  - `when's your birthday`
+  - `do you have a personality`
+  - `make a pizza` now ports the original scripted-response path through `chitchat-skill` with `mim_id = RA_JBO_MakePizza` and pizza-making animation ESML
+  - `can you order pizza` now ports the original scripted-response path through `chitchat-skill` with `mim_id = RA_JBO_OrderPizza`
+  - current source answers these with a `1.0.19` rule-based persona baseline, backed by `OpenJiboCloudBuildInfo.PersonaBirthday`
+- Follow-up:
+  - wire persona age to first-powered-up or durable first-cloud-seen metadata when available
+  - add command-vs-question variants so expressive prompts can answer conversationally before launching actions
 
 ### 22. Command Vs Question Reply Style
 
@@ -611,13 +615,15 @@ Use [regression-test-plan.md](regression-test-plan.md) as the detailed checklist
 For `1.0.19`:
 
 1. Harden stop or volume if the `1.0.18` live pass exposes stock-OS quirks / harden $YESNO interaction
-2. Make a pizza. How old are you?  When's your birthday?  Do you have a personality?  (This is a fun one that can be implemented quickly and adds a lot of character, so it should be early in the queue to start showing off the new content capabilities.)
-3. Update, backup, and restore proof
-4. STT upgrade and noise screening
-5. Hosted capture/storage plan / indexing for group testing
-6. Binary-safe media storage / sync to cloud drive: OneDrive, Google Drive, Box, etc.
-7. Provider-backed news and weather
-8. Proactivity, dialog parsing/NLP, memory/history, Lasso, identity, and onboarding as larger discovery-driven tracks
+2. Make a pizza. How old are you?  When's your birthday?  Do you have a personality?  (`implemented` in the first `1.0.19` slice; continue refining with persistent identity metadata and richer persona variants.)
+3. Holidays and seasonal personality slice so persona evolution remains visible and testable
+4. Multi-tenant internal storage foundation for memory/personality data (account/loop/device scoped) with cloud-ready persistence boundaries
+5. Update, backup, and restore proof
+6. STT upgrade and noise screening
+7. Hosted capture/storage plan / indexing for group testing
+8. Binary-safe media storage / sync to cloud drive: OneDrive, Google Drive, Box, etc.
+9. Provider-backed news and weather
+10. Proactivity, dialog parsing/NLP, memory/history, Lasso, identity, and onboarding as larger discovery-driven tracks
 
 For `1.0.20` and beyond:
 
@@ -628,4 +634,4 @@ For `1.0.20` and beyond:
 5. Loop advancement (family and friends) / multiple user recognition / multiple Jibo support so Jibo's can interact and communicate
 6. Advanced Jibo features such as pizza delivery, Uber/Lyft integration, calendar management, smart home control (Home Assistant), etc. can be added after the conversion process is smooth and stable, with a focus on features that leverage the new cloud capabilities and content personalization enabled by Open Jibo
 7. LLM integration for more natural dialog, question answering, and content generation can be explored as a longer-term goal after the core platform is stable and has a growing user base to provide feedback and use cases for LLM-powered features
-8. Tiered Jibo brain/orchestration plan from README.md can be implemented in parallel with the above, starting with the simplest cloud features and gradually adding more complex capabilities as the platform matures and user feedback is collected, always preserving his unique charm and original features.
+8. Tiered Jibo brain/orchestration plan from README.md can be implemented in parallel with the above, starting with the simplest cloud features and gradually adding more complex capabilities as the platform matures and user feedback is collected, always preserving his unique charm and original features.