Vivi-Speech/.planning/STATE.md

State: Vivi Speech Translator

Reference: See .planning/PROJECT.md for full project context

Core Value: Vivi posts emojis and others instantly understand her without needing to know what each emoji means.

Last Updated: 2025-01-29

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Current Position

Phase: Roadmap complete, ready for Phase 1 planning

Focus: Foundation (PluralKit detection + database setup)

Timeline: 5-6 weeks to v1 (33 requirements, 5 phases)

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Project Status

Aspect	Status	Notes
Requirements	33 defined ✓	All v1 requirements mapped to phases
Research	Complete ✓	Stack, Features, Architecture, Pitfalls synthesized
Roadmap	Complete ✓	5 phases, 100% coverage, dependencies identified
Phase 1 Plan	Awaiting	Ready to run /gsd:plan-phase 1
Team	1 person (user) + Claude	Solo developer + AI pair programming

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Coverage Summary

v1 Requirements: 33 total

• Message Detection: 4 (DETECT-01 through DETECT-04)
• Emoji Parsing & Translation: 6 (TRANS-01 through TRANS-06)
• Teaching System: 7 (TEACH-01 through TEACH-07)
• Unknown Emoji Handling: 3 (UNK-01 through UNK-03)
• Error Handling: 3 (ERROR-01 through ERROR-03)
• Configuration: 4 (CONFIG-01 through CONFIG-04)
• Database & Persistence: 4 (DB-01 through DB-04)
• Accessibility: 5 (A11Y-01 through A11Y-05)
• Generalization: 3 (GEN-01 through GEN-03)

Phase Mapping:

• Phase 1 (Foundation): 5 requirements
• Phase 2 (Translation Engine): 13 requirements
• Phase 3 (Teaching System): 14 requirements
• Phase 4 (Configuration): 5 requirements
• Phase 5 (Polish): 2 requirements

Coverage: 100% ✓ (all 33 mapped, no orphans)

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Roadmap at a Glance

Phase 1: Foundation (Weeks 1-2)
  Goal: Detect Vivi via PluralKit, set up database
  Success: >99% detection accuracy, zero false positives

Phase 2: Translation Engine (Weeks 3-4)
  Goal: Parse emojis, translate to text, auto-translate
  Success: <500ms response, 100% Unicode emoji parse accuracy

Phase 3: Teaching System (Weeks 5-6)
  Goal: Let users teach emoji meanings via simple commands
  Success: Teaching interface usable, 50+ emoji taught in beta

Phase 4: Configuration & Scaling (Week 7)
  Goal: Per-server auto/on-demand toggle
  Success: Settings persist, multi-server support verified

Phase 5: Production Polish (Week 8+)
  Goal: Logging, retry logic, production hardening
  Success: <0.1% error rate, all failures logged

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Key Decisions Made

1. Global emoji dictionary (not per-server) — Shared knowledge across communities; per-server overrides defer to v2
2. Learning-based system — Users teach emoji meanings; no manual mapping
3. Webhook dispatch for PluralKit — Instant (vs API polling); free and efficient
4. Auto mode as default — More accessible for Vivi (no extra action)
5. Plain text responses only — Accessibility for dysgraphia
6. Five-phase structure — Each phase delivers measurable value

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Known Risks & Mitigations

Risk	Severity	Phase	Mitigation
PluralKit detection unreliable	CRITICAL	1	Webhook verification + API validation; comprehensive testing
Teaching interface too complex	HIGH	3	Ultra-simple syntax; visual confirmation; test with Vivi
Emoji parsing edge cases	MEDIUM	2	Use emoji library; test Unicode 15.0 samples
Rate limiting impacts	MEDIUM	2+	Cache emoji; batch lookups; backoff strategy
Dictionary quality degrades	HIGH	3+	Audit trail; input validation; flag conflicts

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Upcoming Milestones

Phase 1 Planning (Next: /gsd:plan-phase 1)

• Create detailed execution plan for Foundation phase
• Derive must-haves from success criteria
• Define acceptance tests

Phase 1 Delivery (Weeks 1-2)

• PluralKit detection working >99% accuracy
• Database initialized and queryable
• Proof of concept: bot logs Vivi's messages

Phase 2 Delivery (Weeks 3-4)

• Emoji parsing and translation working
• Auto-translate mode enabled
• MVP ready for early user testing

Phase 3 Delivery (Weeks 5-6)

• Teaching system accessible to Vivi
• 50+ emoji taught by community
• Core value delivered: "Vivi posts, others understand"

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Implementation Context

Tech Stack:

• discord.py 2.6.4 (Python async Discord bot framework)
• SQLite MVP → PostgreSQL for production
• aiosqlite (async database)
• emoji 2.11.0 (Unicode support)
• Railway Cloud (free tier hosting)

Code Location: To be initialized in Phase 1 planning

Database Location: SQLite for MVP; will be in project root or .data/ directory

Hosting: Railway Cloud free tier ($0-5/month for MVP)

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Communication & Decisions

User Input Needed:

• Vivi's teaching interface preferences (syntax, visual feedback, response length)
• Exact emoji coverage (standard + custom Discord emoji examples)
• Moderation preferences (who can teach, conflict resolution)

Architecture Locked In:

• Global emoji dictionary (v1) with per-system overrides planned for v2
• PluralKit webhook detection over API polling
• discord.py 2.6.4 with slash commands as primary interface

Open for Discussion:

• Response format preferences (e.g., "Vivi: sick" vs "Vivi is sick")
• Caching strategy (hot emoji in memory vs all DB lookups)
• Logging verbosity (debug level for early phases)

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Progress Tracker

Completed:

• ✓ Research synthesis (STACK.md, FEATURES.md, ARCHITECTURE.md, PITFALLS.md)
• ✓ Requirements definition (33 v1 requirements)
• ✓ Roadmap creation (5 phases, 100% coverage)
• ✓ Phase-level success criteria (observable user behaviors)

In Progress:

• → Phase 1 planning (breakdown into executable tasks)

Pending:

• Vivi interview for UX validation (Phase 3)
• Phase 1 implementation
• Early user testing (post-Phase 2)
• Performance profiling (post-Phase 3)

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Next Steps

1. Review ROADMAP.md — Confirm 5-phase structure and dependencies
2. Run /gsd:plan-phase 1 — Create execution plan for Foundation
3. Initialize Phase 1 code — Discord client, PluralKit detection, database
4. Get Vivi input — Teaching interface preferences (Phase 3 planning)

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Status: Ready for Phase 1 planning

Confidence Level: ⭐⭐⭐ HIGH (research complete, requirements clear, stack proven)

Blockers: None — proceeding to Phase 1 planning

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Generated: 2025-01-29 Roadmap: .planning/ROADMAP.md Requirements: .planning/REQUIREMENTS.md