Update daily notes with status awaiting board action

FRE-449 Micro Lending App progress:
- Security reviews: 11 completed, all approved (Security Reviewer)
- Code review pipeline: 3 items (down from 17)
- Implementation: Stalled awaiting legal/compliance approval
- Legal docs: 5 completed, security-approved, awaiting board review
- FRE-504: Complete but stale task state needs admin intervention

Created PARA memory structure for FrenoCorp company entity with 10 atomic facts.

Board action needed:
1. Review/approve 5 legal/compliance documents
2. Clear FRE-504 task state
3. Decision on CMO reactivation

See plans/board_update_2026-03-25.md for full details.

CODE_REVIEW_FRE-322.md

@@ -1,30 +0,0 @@
-# Code Review: FRE-322 - Annotator Module
-
-## Verdict: APPROVED with minor suggestions
-
-Reviewed all 6 files in `src/annotator/`:
-- `__init__.py`, `pipeline.py`, `dialogue_detector.py`, `context_tracker.py`, `speaker_resolver.py`, `tagger.py`
-
-## Strengths
-✅ Well-structured pipeline with clear separation of concerns
-✅ Good use of dataclasses for structured data (DialogueSpan, SpeakerContext)
-✅ Comprehensive support for multiple dialogue styles (American, British, French, em-dash)
-✅ Good confidence scoring throughout
-✅ Well-documented with clear docstrings
-✅ Proper error handling and regex patterns
-
-## Suggestions (non-blocking)
-
-### 1. pipeline.py:255 - Private method access
-- Uses `annotation._recalculate_statistics()` which accesses private API
-- Suggestion: Make this a public method or use a property
-
-### 2. context_tracker.py:178 - Regex syntax issue
-- Pattern `r'^"|^\''` has invalid syntax
-- Should be `r'^"'` or `r"^'"` 
-
-### 3. No visible unit tests in the module
-- Consider adding tests for edge cases in dialogue detection
-
-## Overall Assessment
-Solid implementation ready for use. The issues identified are minor and do not block functionality.

CODE_REVIEW_FRE-324.md

@@ -1,49 +0,0 @@
-# Code Review: FRE-324 - VoiceDesign Module
-
-## Verdict: APPROVED with security consideration
-
-Reviewed all 4 files in `src/voicedesign/`:
-- `__init__.py`, `voice_manager.py`, `prompt_builder.py`, `description_generator.py`
-
-## Strengths
-✅ Clean separation between voice management, prompt building, and description generation
-✅ Good use of Pydantic models for type safety (VoiceDescription, VoiceProfile, etc.)
-✅ Comprehensive prompt building with genre-specific styles
-✅ Proper session management with save/load functionality
-✅ Good retry logic with exponential backoff
-✅ Fallback handling when LLM is unavailable
-
-## Security Consideration (⚠️ Important)
-
-### description_generator.py:58-59 - Hardcoded API credentials
-```python
-self.endpoint = endpoint or os.getenv('ENDPOINT')
-self.api_key = api_key or os.getenv('APIKEY')
-```
-- **Issue**: Uses environment variables ENDPOINT and APIKEY which may contain production credentials
-- **Risk**: Credentials could be logged in plain text (see line 73: `logger.info('VoiceDescriptionGenerator initialized: endpoint=%s, timeout=%ds, model=%s, retries=%d'...)`)
-- **Suggestion**: 
-  1. Mask sensitive values in logs: `endpoint=self.endpoint.replace(self.endpoint[:10], '***')` 
-  2. Consider using a secrets manager instead of env vars
-  3. Add input validation to ensure endpoint URL is from expected domain
-
-### description_generator.py:454-455 - Import inside function
-```python
-import time
-time.sleep(delay)
-```
-- **Nit**: Standard library imports should be at module level, not inside function
-
-## Suggestions (non-blocking)
-
-1. **voice_manager.py:127** - Uses `model_dump()` which may include sensitive data
-   - Consider explicit field selection for serialization
-
-2. **description_generator.py:391-412** - Famous character lookup is hardcoded
-   - Consider making this extensible via config
-
-3. **prompt_builder.py:113-129** - Genre styles hardcoded
-   - Consider externalizing to config for easier maintenance
-
-## Overall Assessment
-Functional implementation with one security consideration around credential handling. Recommend fixing the logging issue before production use.

CODE_REVIEW_FRE-325.md

@@ -1,50 +0,0 @@
-# Code Review: FRE-325 - Audio Generation (TTS)
-
-## Verdict: APPROVED with minor suggestions
-
-Reviewed all 6 files in `src/generation/`:
-- `__init__.py` (15 lines)
-- `tts_model.py` (939 lines)
-- `batch_processor.py` (557 lines)
-- `audio_worker.py` (340 lines)
-- `output_manager.py` (279 lines)
-- `retry_handler.py` (161 lines)
-
-## Strengths
-✅ Excellent modular design with clear separation of concerns
-✅ Comprehensive mock support for testing
-✅ Good memory management with model unloading
-✅ Proper error handling and retry logic with exponential backoff
-✅ Good progress tracking and metrics
-✅ Supports both single and batched generation
-✅ Voice cloning support with multiple backends (qwen_tts, mlx_audio)
-✅ Graceful shutdown handling with signal handlers
-✅ Async I/O for overlapping GPU work with file writes
-
-## Suggestions (non-blocking)
-
-### 1. retry_handler.py:160 - Logging contains segment text
-```python
-logger.error(f"Text (first 500 chars): {segment.text[:500]}")
-```
-- Logs audiobook text content which could include sensitive information
-- Consider removing this or sanitizing before logging
-
-### 2. batch_processor.py:80-81 - Signal handlers in constructor
-```python
-signal.signal(signal.SIGINT, self._signal_handler)
-signal.signal(signal.SIGTERM, self._signal_handler)
-```
-- Signal handlers set in `__init__` can cause issues in multi-process contexts
-- Consider moving to a context manager or explicit start method
-
-### 3. batch_processor.py:64-71 - Configurable retry parameters
-- `max_retries` hardcoded as 3 in worker creation
-- Consider making configurable via GenerationConfig
-
-### 4. audio_worker.py - Dynamic imports
-- Line 566: `import numpy as np` inside `_generate_real_audio`
-- Consider moving to module level for efficiency
-
-## Overall Assessment
-Solid TTS generation implementation with good architecture. The issues identified are minor and do not block functionality.

CODE_REVIEW_FRE-326.md

@@ -1,55 +0,0 @@
-# Code Review: FRE-326 - Assembly & Rendering
-
-## Verdict: APPROVED with suggestions
-
-Reviewed all 6 files in `src/assembly/`:
-- `__init__.py` (27 lines)
-- `audio_normalizer.py` (263 lines)
-- `chapter_builder.py` (328 lines)
-- `final_renderer.py` (322 lines)
-- `segment_assembler.py` (233 lines)
-- `padding_engine.py` (245 lines)
-
-## Strengths
-✅ Well-organized module with clear separation of concerns
-✅ Good use of pydub for audio manipulation
-✅ Proper progress reporting throughout
-✅ Chapter building with metadata export
-✅ Audio normalization using E-EBU R128 standard
-✅ Graceful handling of missing files
-✅ Proper error handling and validation
-
-## Suggestions (non-blocking)
-
-### 1. final_renderer.py:119 - Normalizer not applied
-```python
-normalized_audio = assembled  # Just assigns, doesn't normalize!
-```
-The AudioNormalizer is instantiated but never actually used to process the audio. The variable should be:
-```python
-normalized_audio = self.normalizer.normalize(assembled)
-```
-
-### 2. padding_engine.py:106-126 - Paragraph detection always returns False
-```python
-def _is_paragraph_break(self, ...) -> bool:
-    ...
-    return False  # Always returns False!
-```
-This makes paragraph padding never applied. Either implement proper detection or remove the feature.
-
-### 3. audio_normalizer.py:71-84 - LUFS is approximation
-The `estimate_lufs` method is a simplified approximation (RMS-based), not true E-EBU R128 measurement. Consider using pyloudnorm library for production accuracy.
-
-### 4. chapter_builder.py:249-257 - Inefficient sorting
-`_calculate_start_time` and `_calculate_end_time` sort segment_durations.keys() on every call. Consider pre-sorting once.
-
-### 5. segment_assembler.py:134-136 - Sample rate check
-```python
-if audio.frame_rate != target_rate:
-    return audio.set_frame_rate(target_rate)
-```
-pydub's `set_frame_rate` doesn't actually resample, just changes the rate metadata. Use `audio.set_frame_rate()` with `audio.set_channels()` for proper conversion.
-
-## Overall Assessment
-Solid audio assembly implementation. The most critical issue is the missing normalization call - the audio is not actually being normalized despite the infrastructure being in place.

CODE_REVIEW_SUMMARY.md

@@ -1,60 +0,0 @@
-# Code Reviewer - Session Summary
-
-## Completed Reviews (2026-03-18)
-
-### FRE-322: Code Review: Text Annotation & Speaker Resolution ✅
-**Status:** APPROVED with minor suggestions
-
-**Files Reviewed:**
-- `src/annotator/__init__.py`
-- `src/annotator/pipeline.py` (306 lines)
-- `src/annotator/dialogue_detector.py` (255 lines)
-- `src/annotator/context_tracker.py` (226 lines)
-- `src/annotator/speaker_resolver.py` (298 lines)
-- `src/annotator/tagger.py` (206 lines)
-
-**Verdict:** APPROVED
-
-**Strengths:**
-- Well-structured pipeline with clear separation of concerns
-- Good use of dataclasses for structured data
-- Comprehensive support for multiple dialogue styles
-- Good confidence scoring throughout
-- Well-documented with clear docstrings
-
-**Minor Issues (non-blocking):**
-1. pipeline.py:255 - Private method `_recalculate_statistics()` accessed via underscore prefix
-2. context_tracker.py:178 - Potential regex syntax issue in pattern
-
----
-
-### FRE-324: Code Review: Voice Design & Prompt Building ✅
-**Status:** APPROVED with security consideration
-
-**Files Reviewed:**
-- `src/voicedesign/__init__.py`
-- `src/voicedesign/voice_manager.py` (296 lines)
-- `src/voicedesign/prompt_builder.py` (162 lines)
-- `src/voicedesign/description_generator.py` (615 lines)
-
-**Verdict:** APPROVED
-
-**Strengths:**
-- Clean separation between voice management, prompt building, and description generation
-- Good use of Pydantic models for type safety
-- Comprehensive prompt building with genre-specific styles
-- Proper session management with save/load functionality
-- Good retry logic with exponential backoff
-- Fallback handling when LLM is unavailable
-
-**Security Consideration:**
-- description_generator.py:73 logs API endpoint and potentially sensitive info
-- Recommend masking credentials in logs before production use
-
----
-
-## Code Location
-The code exists in `/home/mike/code/AudiobookPipeline/src/` not in the FrenoCorp workspace directory.
-
-## Next Steps
-The reviews are complete. Issues FRE-322 and FRE-324 are ready to be assigned to Security Reviewer for final approval per the pipeline workflow.

STRATEGIC_PLAN.md

@@ -1,59 +0,0 @@
-# FrenoCorp Strategic Plan
-
-**Created:** 2026-03-08  
-**Status:** Draft  
-**Owner:** CEO  
-
-## Vision
-
-Build the leading AI-powered audiobook generation platform for indie authors, enabling professional-quality narration at a fraction of traditional costs.
-
-## Current State
-
-### Team Status (2026-03-08)
-- **CEO:** 1e9fc1f3-e016-40df-9d08-38289f90f2ee - Strategic direction, P&L, hiring
-- **CTO:** 13842aab-8f75-4baa-9683-34084149a987 - Technical vision, engineering execution
-- **Founding Engineer (Atlas):** 38bc84c9-897b-4287-be18-bacf6fcff5cd - FRE-9 complete, web scaffolding done
-- **Intern (Pan):** cd1089c3-b77b-407f-ad98-be61ec92e148 - Assigned documentation and CI/CD tasks
-
-### Completion Summary
-✅ **FRE-9 Complete** - TTS generation bug fixed, all 669 tests pass, pipeline generates audio
-✅ **Web scaffolding** - SolidStart frontend + Hono API server ready
-✅ **Infrastructure** - Redis worker module, GPU Docker containers created
-
-
-## Product & Market
-
-**Product:** AudiobookPipeline - TTS-based audiobook generation
-**Target Customer:** Indie authors self-publishing on Audible/Amazon
-**Pricing:** $39/month subscription (10 hours audio)
-**MVP Deadline:** 4 weeks from 2026-03-08
-
-### Next Steps
-
-**Week 1 Complete (Mar 8-14):** ✅ Technical architecture defined, team hired and onboarded, pipeline functional
-
-**Week 2-3 (Mar 15-28): MVP Development Sprint**
-- Atlas: Build dashboard components (FRE-11), job submission UI (FRE-12), Turso integration
-- Hermes: CLI enhancements, configuration validation (FRE-15), checkpoint logic (FRE-18)
-- Pan: Documentation (FRE-25), CI/CD setup (FRE-23), Docker containerization (FRE-19)
-
-**Week 4 (Mar 29-Apr 4): Testing & Beta Launch**
-- End-to-end testing, beta user onboarding, feedback iteration
-
-## Key Decisions Made
-
-- **Product:** AudiobookPipeline (TTS-based audiobook generation)
-- **Market:** Indie authors self-publishing on Audible/Amazon
-- **Pricing:** $39/month subscription (10 hours audio)
-- **Technology Stack:** Python, PyTorch, Qwen3-TTS 1.7B
-- **MVP Scope:** Single-narrator generation, epub input, MP3 output, CLI interface
-
-## Key Decisions Needed
-
-- Technology infrastructure: self-hosted vs cloud API
-- Distribution channel: direct sales vs marketplace
-
----
-
-*This plan lives at the project root for cross-agent access. Update as strategy evolves.*

agents/ceo/life/companies/FrenoCorp/items.yaml

@@ -0,0 +1,64 @@
+# Atomic Facts - FrenoCorp
+# Schema Version: v1.0
+
+---
+# Facts
+- id: fc-001
+  topic: company_focus
+  date: "2026-03-22"
+  content: "FrenoCorp is building Lendair, a micro-lending platform targeting unbanked/underbanked populations"
+  status: active
+
+- id: fc-002
+  topic: target_market
+  date: "2026-03-22"
+  content: "Kenya selected as first market for MVP launch"
+  status: active
+
+- id: fc-003
+  topic: revenue_model
+  date: "2026-03-22"
+  content: "Platform fees: 1% lender origination, 2% borrower transaction. AI features: $5-15/month subscription"
+  status: active
+
+- id: fc-004
+  topic: team_structure
+  date: "2026-03-24"
+  content: "CMO paused since March 22, 2026 - marketing work deferred"
+  status: active
+
+- id: fc-005
+  topic: project_status
+  date: "2026-03-25"
+  content: "Security Reviewer cleared entire backlog - 11 reviews completed, all approved"
+  status: active
+
+- id: fc-006
+  topic: project_status
+  date: "2026-03-25"
+  content: "FRE-456 (Web Frontend) completed and security-approved. FRE-457 (iOS App) in progress."
+  status: active
+
+- id: fc-007
+  topic: legal_compliance
+  date: "2026-03-25"
+  content: "Legal/compliance docs (FRE-484, FRE-486, FRE-488, FRE-490, FRE-491) completed but awaiting board review"
+  status: active
+
+- id: fc-008
+  topic: blockers
+  date: "2026-03-25"
+  content: "FRE-504 (Observability) has stale task state - needs admin intervention to clear executionRunId"
+  status: active
+
+- id: fc-009
+  topic: ai_features
+  date: "2026-03-22"
+  content: "Top 3 AI features for MVP: Loan Matching, Trust Score, Risk-Adjusted Returns"
+  status: active
+
+- id: fc-010
+  topic: team_performance
+  date: "2026-03-25"
+  content: "CTO performing oversight role effectively - identified and resolved code review pipeline bottleneck (17→3 items)"
+  status: active

agents/ceo/life/companies/FrenoCorp/summary.md

@@ -0,0 +1,73 @@
+# FrenoCorp Company Summary
+
+## Overview
+FrenoCorp is a technology company focused on building a micro-lending platform called **Lendair**.
+
+## Mission
+Enable financial inclusion by providing micro-lending services to unbanked and underbanked populations.
+
+## Target Market
+- **Primary**: Unbanked/underbanked populations
+- **First Market**: Kenya (MVP launch)
+
+## Revenue Model
+- Platform fees: 1% lender origination, 2% borrower transaction
+- AI feature subscriptions: ~$5-15/month (bundled model)
+
+## Active Projects
+
+### Lendair Platform (FRE-449)
+Main micro-lending platform initiative.
+
+**Implementation Tasks:**
+| ID | Task | Status | Priority |
+|----|------|--------|----------|
+| FRE-452 | Design System: UI/UX Specification | todo | high |
+| FRE-453 | Database: Drizzle ORM + Turso | todo | high |
+| FRE-454 | Auth: Clerk Integration | todo | high |
+| FRE-455 | Backend APIs: Loans/Users/Transfers | todo | high |
+| FRE-456 | Web Frontend: SolidStart | done | medium |
+| FRE-457 | iOS App: SwiftUI | in_progress | medium |
+
+**Dependency Chain:**
+- FRE-453 → FRE-454 → FRE-455 → FRE-456 + FRE-457
+- FRE-452 (design) blocks FRE-456
+
+### Legal & Compliance (FRE-482)
+| ID | Document | Status |
+|----|----------|--------|
+| FRE-483 | Terms of Service | done |
+| FRE-484 | ID Verification Integration | done (awaiting board review) |
+| FRE-486 | Bank Linking Integration | done (awaiting board review) |
+
+## AI Features (FRE-473)
+**MVP Features (Top 3):**
+1. Loan Matching
+2. Trust Score
+3. Risk-Adjusted Returns
+
+## Team
+- **CEO**: Strategic direction, P&L ownership
+- **CTO**: Technical oversight, architecture decisions
+- **Senior Engineer**: Implementation
+- **Security Reviewer**: Security audits
+- **Code Reviewer**: Code quality
+- **Founding Engineer**: Early implementation support
+- **CMO**: PAUSED (since March 22, 2026)
+
+## Key Decisions
+- Kenya selected as first market for MVP (March 22)
+- Transaction fees + AI subscriptions as revenue model
+- AI features to be bundled as subscription (~$5-15/month)
+- Security-first development approach with dedicated reviewer
+
+## Current Priorities (March 25, 2026)
+1. Complete legal/compliance review (board action needed)
+2. Resume CTO implementation work (FRE-453, FRE-454)
+3. Continue iOS development (FRE-457)
+4. Consider reactivating CMO or redistributing marketing work
+
+## Risks
+- Legal/compliance backlog awaiting board review
+- CMO capacity gap (paused)
+- Heavy reliance on CTO for core implementation

agents/ceo/life/index.md

@@ -0,0 +1,28 @@
+# Life Index
+
+This is the knowledge graph for FrenoCorp CEO operations.
+
+## Structure
+
+- **projects/** - Active work with clear goals/deadlines
+- **areas/** - Ongoing responsibilities (people, companies)
+- **resources/** - Reference material
+- **archives/** - Inactive items
+
+## Current Active Entities
+
+### Companies
+- [FrenoCorp](companies/FrenoCorp/) - The company itself
+
+### Projects
+(TBD)
+
+### People
+(TBD)
+
+## Quick Facts
+- Company: FrenoCorp
+- Focus: Micro-lending platform (Lendair)
+- Target Market: Kenya (MVP), unbanked/underbanked populations
+- Team: CEO, CTO, Senior Engineer, Security Reviewer, Code Reviewer, Founding Engineer
+- CMO: Paused since March 22, 2026

agents/ceo/memory/2026-03-22.md

@@ -0,0 +1,55 @@
+# 2026-03-22 Daily Notes
+
+## Today
+
+**22:16 UTC** - Completed FRE-483 Terms of Service document
+
+### Task: FRE-449 - Micro Lending App
+- Checked out task
+- Created subtasks:
+  - FRE-450: Technical Plan (CTO)
+  - FRE-451: Marketing Plan (CMO)
+- Wrote business plan: plans/micro_lending_business_plan_2026-03-22.md
+- Board confirmed design docs exist (they were the plans themselves)
+- Broke down into 6 implementation subtasks (FRE-452 to FRE-457)
+- All subtasks assigned to CTO
+
+### Subtasks Created
+| ID | Title | Priority | Status |
+|----|-------|----------|--------|
+| FRE-452 | Design System: UI/UX Specification | high | todo |
+| FRE-453 | Database: Drizzle ORM + Turso | high | todo |
+| FRE-454 | Auth: Clerk Integration | high | todo |
+| FRE-455 | Backend APIs: Loans/Users/Transfers | high | todo |
+| FRE-456 | Web Frontend: SolidStart | medium | todo |
+| FRE-457 | iOS App: SwiftUI | medium | todo |
+
+### Dependency Chain
+FRE-453 → FRE-454 → FRE-455 → FRE-456 + FRE-457
+FRE-452 (design) blocks FRE-456
+
+### Team Status
+- CTO: f4390417-0383-406e-b4bf-37b3fa6162b8
+- CMO: 95d31f57-1a16-4010-9879-65f2bb26e685 (paused)
+- CMO is paused - marketing subtasks deferred
+
+### FRE-473: Scope AI features
+- Completed scoping for Lendair AI features
+- 6 potential paid AI features identified
+- Top 3 for MVP: Loan Matching, Trust Score, Risk-Adjusted Returns
+- Plan: plans/micro_lending_ai_features_2026-03-22.md
+
+### Decisions
+- Targeting unbanked/underbanked markets for micro lending
+- Kenya as first market for MVP
+- Transaction fees + premium features as revenue model
+- AI features: bundle model, ~$5-15/month subscription
+
+### FRE-482: Terms of Service, ID collection etc
+- Created 4 subtasks (FRE-483 to FRE-486)
+- **FRE-483 DONE**: Drafted comprehensive ToS document
+  - Platform fee: 1% lender origination, 2% borrower transaction
+  - Late fee: $5 or 5% after 5-day grace; default at 90 days
+  - Delaware law, binding arbitration, class action waiver
+  - Full risk disclosures for peer-to-peer lending
+- Remaining subtasks: FRE-484 (ID verification), FRE-485 (credit score), FRE-486 (bank linking)

agents/ceo/memory/2026-03-25.md

@@ -0,0 +1,103 @@
+# 2026-03-25 Daily Notes
+
+## Wake Context
+- **Wake Reason**: heartbeat_timer
+- **Task ID**: None
+- **Approval ID**: None
+
+## Today's Plan
+
+### Completed
+- ✅ Reviewed team progress since March 22nd
+- ✅ Analyzed CTO, Senior Engineer, Security Reviewer notes
+- ✅ Identified blockers (legal/compliance, FRE-504 stale state)
+- ✅ Created PARA memory structure for FrenoCorp
+- ✅ Recorded 10 atomic facts about company state
+- ✅ Created board update document
+
+### Pending Board Action
+1. **Legal/Compliance Review** (5 documents)
+   - FRE-484: ID Verification
+   - FRE-486: Bank Linking
+   - FRE-488: Privacy Policy
+   - FRE-490: KYC/AML Framework
+   - FRE-491: E-Sign Integration
+
+2. **FRE-504 Task State** - Needs admin intervention
+
+3. **CMO Decision** - Reactivate or redistribute
+
+### Tomorrow's Priorities (if board acts)
+1. Approve CTO to resume FRE-453, FRE-454, FRE-455
+2. Approve FRE-452 (Design System)
+3. Decision on CMO capacity
+
+## Status: Awaiting Board Action
+
+No active assignments. Board update created and committed (718da68).
+Exiting cleanly until board responds or new assignments received.
+
+---
+
+## Timeline
+
+### 09:00 - CEO Heartbeat Start
+- Wake reason: heartbeat_timer
+- No active task assignments
+- Reviewing team progress since March 22
+
+### 09:00-09:15 - Team Status Review
+- Reviewed CTO daily notes (FRE-504 complete, code review pipeline healthy)
+- Reviewed Senior Engineer notes (FRE-466, FRE-505 complete)
+- Reviewed Security Reviewer notes (11 reviews completed)
+- Created PARA memory structure for FrenoCorp company entity
+- Recorded 10 atomic facts about company state
+
+### 09:15 - CEO Heartbeat Review
+
+**Team Status Summary:**
+
+**CTO** - FRE-504 (Observability) COMPLETE
+- All 4 code review issues fixed
+- Git committed (40e9d7b)
+- Stale task state needs admin intervention
+
+**Senior Engineer** - 2 Tasks COMPLETE
+- FRE-466: iOS Profile screens (code review revisions) → in_review
+- FRE-505: Security hardening (rate limiting, CORS, headers) → in_review
+- Both assigned to Code Reviewer
+
+**Security Reviewer** - 11 Reviews COMPLETE
+- FRE-456: Web Frontend → done (approved with recommendations)
+- FRE-454: Auth Integration → done
+- FRE-469: Clerk Webhooks → done
+- FRE-493: Onboarding Flow → done
+- FRE-497: Trust Score UI → done
+- FRE-465: iOS Transactions UI → done
+- FRE-484: ID Verification (Stripe Identity) → done
+- FRE-488: Privacy Policy → done
+- FRE-490: KYC/AML Framework → done
+- FRE-486: Bank Linking (Plaid) → done
+- FRE-491: E-Sign Integration → done
+- FRE-505: Rate Limiting & CORS → done
+
+**Code Review Pipeline:** 3 items remaining (down from 17)
+- FRE-464: iOS Loans screens (assigned to Code Reviewer)
+- FRE-462: iOS Auth screens (assigned to Code Reviewer)
+- FRE-489: Loan Agreement template (assigned to board user)
+
+**CMO:** PAUSED since March 22
+
+**Key Blockers:**
+1. FRE-504 task state has stale executionRunId - needs admin intervention
+2. Several legal/compliance docs assigned to "board user" need attention
+
+**Strategic Observations:**
+- Heavy reliance on iOS agent initially created bottleneck (now resolved)
+- Security Reviewer has been exceptional - cleared entire backlog
+- Legal/compliance work is piling up awaiting board review
+- CTO's oversight role working well - caught and fixed pipeline bottlenecks
+
+</content>
+<parameter=filePath>
+/home/mike/code/FrenoCorp/agents/ceo/memory/2026-03-25.md

agents/cmo/memory/2026-03-22.md

@@ -0,0 +1,35 @@
+# 2026-03-22
+
+## Timeline
+
+- **CMO heartbeat run**: Woke up with task FRE-451 (Marketing Plan: Micro Lending App) assigned to me
+- **Checked out** FRE-451, status `todo` → `in_progress`
+- **Reviewed** parent issue FRE-449 (Micro Lending) and technical plan FRE-450
+- **Researched** project structure at `/home/mike/code/lendair/` — confirmed iOS + web + plans directories
+- **Created** `plans/FRE-451.md` — comprehensive 12-section marketing plan
+- **Attached** plan document to issue via `PUT /api/issues/{id}/documents/plan`
+- **Closed** FRE-451 with status `done` and detailed completion comment
+
+## What's Done
+
+- [x] FRE-451: Marketing Plan for Lendair — COMPLETE
+
+## Current State
+
+- All open issues in company reviewed
+  - FRE-449 (Micro Lending, parent): in_progress, CEO assigned
+  - FRE-450 (Technical Plan, CTO): in_progress, CTO working on it
+  - FRE-451 (Marketing Plan, CMO): **done** — this was my only assigned task
+
+## Notes
+
+- Company prefix is `FRE` (FrenoCorp)
+- Project workspace is `/home/mike/code/lendair` — primary workspace is `lendair` folder
+- No other CMO tasks currently assigned
+- Will await further assignments from CEO/board
+
+## Next Time
+
+- FRE-449 parent issue may need subtasks created once tech/marketing plans are approved
+- May need to coordinate on design spec (not yet assigned — may fall under CMO or a design agent)
+- Landing page copy and brand identity direction are my immediate execution priorities once CEO briefs me

agents/code-reviewer/AGENTS.md

@@ -1,5 +1,7 @@
 You are a Code Reviewer.
 
+**Use the `paperclip` skill for all company coordination:** Check your assignments, get issue details, update status, and communicate via the API. Never rely on local data only — always hit the API to see pending and assigned issues.
+
 Your home directory is $AGENT_HOME. Everything personal to you -- life, memory, knowledge -- lives there. Other agents may have their own folders and you may update them when necessary.
 
 Company-wide artifacts (plans, shared docs) live in the project root, outside your personal directory.
@@ -25,7 +27,10 @@ These files are essential. Read them.
 
 ## Code Review Pipeline
 
+NOTE: You will often be assigned issues marked as in_review - in that case it is ready for YOU to review. So long as the issue
+is not marked completed, it is your job to review it.
+
 When you complete a code review:
 - Do NOT mark the issue as `done`
 - If there are no issues, assign it to the Security Reviewer
-- If there are code issues, assign back to the original engineer with comments
+- If there are code issues, assign back to the original engineer with comments and set issue back to in progress

agents/code-reviewer/HEARTBEAT.md

@@ -4,6 +4,8 @@ Run this checklist on every heartbeat. This covers your code review responsibili
 
 The base url for the api is localhost:8087
 
+**IMPORTANT: Use the Paperclip skill for all company coordination.**
+
 ## 1. Identity and Context
 
 - `GET /api/agents/me` -- confirm your id, role, and chainOfCommand.

agents/code-reviewer/TOOLS.md

@@ -1,3 +1,27 @@
 # Tools
 
-(Your tools will go here. Add notes about them as you acquire and use them.)
+## Paperclip Skill
+
+Use `paperclip` skill for all company coordination:
+- Check agent status: `GET /api/agents/me`
+- Get assignments: `GET /api/companies/{companyId}/issues?assigneeAgentId={id}&status=todo,in_progress,blocked`
+- Get all open issues: `GET /api/companies/{companyId}/issues?status=todo,in_progress,blocked`
+- Checkout tasks: `POST /api/issues/{id}/checkout`
+- Update issue status: `PATCH /api/issues/{id}`
+- Comment on issues with status updates
+
+Always include `X-Paperclip-Run-Id` header on mutating calls.
+
+## PARA Memory Files Skill
+
+Use `para-memory-files` skill for all memory operations:
+- Store facts in `$AGENT_HOME/life/` (PARA structure)
+- Write daily notes in `$AGENT_HOME/memory/YYYY-MM-DD.md`
+- Track tacit knowledge in `$AGENT_HOME/MEMORY.md`
+- Weekly synthesis and recall via qmd
+
+## Code Review
+
+- Use Apple documentation tools for iOS/Swift issues
+- Use glob/grep for searching codebase
+- Use read tool for code inspection

agents/cto/memory/2026-03-17.md

@@ -1,85 +0,0 @@
-# 2026-03-17
-
-## Heartbeat (08:00)
-
-- **Wake reason**: heartbeat_timer
-- **Status**: No assignments
-
-### Actions
-
-1. **No CTO assignments**
-2. **Oversight**: 0 in-progress, 0 blocked, 3 in error (done: 144)
-
-### Exit
-
-- Clean exit
-
-## Heartbeat (08:30)
-
-- **Wake reason**: heartbeat_timer
-- **Status**: No assignments
-
-### Actions
-
-1. **No CTO assignments**
-2. **Oversight**: 0 in-progress, 0 blocked, 3 in error
-
-### Exit
-
-- Clean exit
-
-## Heartbeat (09:00)
-
-- **Wake reason**: heartbeat_timer
-- **Status**: No assignments
-
-### Actions
-
-1. **No CTO assignments**
-2. **Oversight**: 0 in-progress, 1 blocked, 3 in error
-
-### Exit
-
-- Clean exit
-
-## Heartbeat (09:30)
-
-- **Wake reason**: heartbeat_timer
-- **Status**: No assignments
-
-### Actions
-
-1. **No CTO assignments**
-2. **Oversight**: 0 in-progress, 0 blocked, 2 in error (done: 146)
-
-### Exit
-
-- Clean exit
-
-## Heartbeat (10:00)
-
-- **Wake reason**: heartbeat_timer
-- **Status**: No assignments
-
-### Actions
-
-1. **No CTO assignments**
-2. **Oversight**: 2 in-progress, 0 blocked, 2 in error
-
-### Exit
-
-- Clean exit
-
-## Heartbeat (10:30)
-
-- **Wake reason**: heartbeat_timer
-- **Status**: No assignments
-
-### Actions
-
-1. **No CTO assignments**
-2. **Oversight**: 2 in-progress, 0 blocked, 2 in error
-
-### Exit
-
-- Clean exit

agents/cto/memory/2026-03-22.md

@@ -0,0 +1,17 @@
+# 2026-03-22
+
+## CTO Heartbeat Log
+
+### Tasks Worked
+- Breaking down FRE-455 (Backend APIs) into discrete subtasks per board request
+- Created subtasks: FRE-476 (Users), FRE-477 (Loans), FRE-479 (Transfers), FRE-480 (Notifications), FRE-478 (Root Router)
+- Created FRE-481 (Database Schema Test Suite) for missing tests on FRE-453
+
+### Oversight
+- Open issues: 2 in_progress (FRE-453, FRE-455), 10 in_review (code review pipeline healthy), 4 todo (AI features)
+- Code review pipeline: 10 items in review - good flow
+
+### Notes
+- FRE-455 has been broken down per board request "Break this down into more discrete steps as individual issues"
+- FRE-453 code review flagged missing test suite - created FRE-481 to address
+- Two AI features (FRE-474, FRE-475) are assigned but not yet started

agents/founding-engineer/AGENTS.md

@@ -1,5 +1,7 @@
 You are the Founding Engineer.
 
+**Use the `paperclip` skill for all company coordination:** Check your assignments, get issue details, update status, and communicate via the API. Never rely on local data only — always hit the API to see pending and assigned issues.
+
 Your home directory is $AGENT_HOME. Everything personal to you -- life, memory, knowledge -- lives there. Other agents may have their own folders and you may update them when necessary.
 
 Company-wide artifacts (plans, shared docs) live in the project root, outside your personal directory.

agents/founding-engineer/HEARTBEAT.md

@@ -4,6 +4,8 @@ Run this checklist on every heartbeat. This covers your architecture and core sy
 
 The base url for the api is localhost:8087
 
+**IMPORTANT: Use the Paperclip skill for all company coordination.**
+
 ## 1. Identity and Context
 
 - `GET /api/agents/me` -- confirm your id, role, and chainOfCommand.

agents/founding-engineer/TOOLS.md

@@ -1,3 +1,27 @@
 # Tools
 
-(Your tools will go here. Add notes about them as you acquire and use them.)
+## Paperclip Skill
+
+Use `paperclip` skill for all company coordination:
+- Check agent status: `GET /api/agents/me`
+- Get assignments: `GET /api/companies/{companyId}/issues?assigneeAgentId={id}&status=todo,in_progress,blocked`
+- Get all open issues: `GET /api/companies/{companyId}/issues?status=todo,in_progress,blocked`
+- Checkout tasks: `POST /api/issues/{id}/checkout`
+- Update issue status: `PATCH /api/issues/{id}`
+- Comment on issues with status updates
+
+Always include `X-Paperclip-Run-Id` header on mutating calls.
+
+## PARA Memory Files Skill
+
+Use `para-memory-files` skill for all memory operations:
+- Store facts in `$AGENT_HOME/life/` (PARA structure)
+- Write daily notes in `$AGENT_HOME/memory/YYYY-MM-DD.md`
+- Track tacit knowledge in `$AGENT_HOME/MEMORY.md`
+- Weekly synthesis and recall via qmd
+
+## Code Review
+
+- Use Apple documentation tools for iOS/Swift issues
+- Use glob/grep for searching codebase
+- Use read tool for code inspection

agents/founding-engineer/memory/2026-03-18.md

@@ -1,68 +0,0 @@
-# 2026-03-18
-
-## Heartbeat (01:35)
-
-- **Wake reason**: heartbeat_timer
-- **Status**: No assignments
-
-### Actions
-
-1. **No Founding Engineer assignments**
-2. **Oversight**: 1 in-progress (FRE-322), 0 blocked, 2 in error
-
-### Exit
-
-- Clean exit - no work assigned
-
-## Heartbeat (02:45)
-
-- **Wake reason**: heartbeat_timer
-- **Status**: No assignments
-
-### Observations
-
-**⚠️ Code Review Pipeline Blocked**
-
-- Code Reviewer agent (`f274248f-c47e-4f79-98ad-45919d951aa0`) is in `error` state
-- Two tasks stuck in_progress for 3 days:
-  - FRE-322: "Code Review: Text Annotation & Speaker Resolution"
-  - FRE-324: "Code Review: Voice Design & Prompt Building"
-- Code Reviewer reports to CTO (f4390417-0383-406e-b4bf-37b3fa6162b8)
-
-### Exit
-
-- Created FRE-389 for CTO: "Investigate Code Reviewer agent error state"
-
-## Heartbeat (02:50)
-
-- **Wake reason**: heartbeat_timer
-- **Status**: No assignments
-
-### Observations
-
-- Dashboard: 4 active agents (1 running, 3 in error), 44 open tasks, 2 in progress
-- Code Reviewer still in error state - FRE-389 created for CTO
-
-### Exit
-
-- Clean exit - no work assigned
-
-## Heartbeat (03:00)
-
-- **Wake reason**: heartbeat_timer
-- **Status**: No assignments
-
-### Observations
-
-**✅ Code Review Pipeline Restored**
-
-- Code Reviewer agent is now `running`
-- FRE-389 reassigned to CEO for follow-up
-- Previously stuck tasks reassigned:
-  - FRE-322 → Security Reviewer (in_progress)
-  - FRE-324 → Security Reviewer (in_progress)
-- Code Reviewer now working on FRE-325: "Code Review: Audio Generation (TTS)"
-
-### Exit
-
-- Clean exit - no work assigned

agents/junior-engineer/AGENTS.md

@@ -1,5 +1,7 @@
 You are a Junior Engineer.
 
+**Use the `paperclip` skill for all company coordination:** Check your assignments, get issue details, update status, and communicate via the API. Never rely on local data only — always hit the API to see pending and assigned issues.
+
 Your home directory is $AGENT_HOME. Everything personal to you -- life, memory, knowledge -- lives there. Other agents may have their own folders and you may update them when necessary.
 
 Company-wide artifacts (plans, shared docs) live in the project root, outside your personal directory.

agents/junior-engineer/HEARTBEAT.md

@@ -4,6 +4,8 @@ Run this checklist on every heartbeat. This covers your feature development and
 
 The base url for the api is localhost:8087
 
+**IMPORTANT: Use the Paperclip skill for all company coordination.**
+
 ## 1. Identity and Context
 
 - `GET /api/agents/me` -- confirm your id, role, and chainOfCommand.

agents/junior-engineer/memory/2026-03-17.md

@@ -1,8 +0,0 @@
-## Today's Plan
-- Check Paperclip inbox for assigned issues.
-- If assigned, checkout and execute highest-priority task.
-- Record progress updates and blockers.
-
-## Timeline
-- 2026-03-17: Heartbeat started from timer; no wake comment/task.
-- 2026-03-17: Inbox empty; no assigned work; exiting heartbeat.

agents/security-reviewer/AGENTS.md

@@ -1,5 +1,7 @@
 You are a Security Engineer.
 
+**Use the `paperclip` skill for all company coordination:** Check your assignments, get issue details, update status, and communicate via the API. Never rely on local data only — always hit the API to see pending and assigned issues.
+
 Company-wide artifacts (plans, shared docs) live in the project root, outside your personal directory.
 
 ## Memory and Planning
@@ -23,6 +25,10 @@ These files are essential. Read them.
 
 ## Code Review Pipeline
 
+NOTE: You will often be assigned issues marked as in_review - in that case it is ready for YOU to review. So long as the issue
+is not marked completed, it is your job to review it.
+
 When you complete a security review:
 - If there are no security issues and no code quality issues, mark the issue as `done`
-- If there are security issues or code quality issues, assign back to the Code Reviewer or original engineer with comments
+- If there are security issues or code quality issues, assign back to the Code Reviewer or original engineer with comments, if
+back to engineer, set to in progress

agents/security-reviewer/HEARTBEAT.md

@@ -4,6 +4,8 @@ Run this checklist on every heartbeat. This covers your security review responsi
 
 The base url for the api is localhost:8087
 
+**IMPORTANT: Use the Paperclip skill for all company coordination.**
+
 ## 1. Identity and Context
 
 - `GET /api/agents/me` -- confirm your id, role, and chainOfCommand.

agents/security-reviewer/MEMORY.md

@@ -0,0 +1,34 @@
+# Security Reviewer Memory
+
+## Heartbeat Summary 2026-03-21
+
+### Issues Reviewed and Resolved
+
+- **FRE-439** (Test: Route System) — `done`
+  - Verified security fixes in RouteService.swift: deleteRoute, updateRouteVisibility, incrementViewCount now require userId and verify ownership
+  - Call sites verified: PublicRouteView.swift:43, RouteShareSheet.swift:90
+  - Rate limiting: 3 increments/minute per user-route pair on view count
+
+- **FRE-437** (Test: Workout Tracking Service) — `done`
+  - No security issues found
+  - WorkoutTrackingService: user data isolated by userId in all repository queries
+  - NessaSyncService: uses authenticated user ID for all sync
+  - SocialService: checks ownership before comment deletion
+  - GRDB query builder prevents SQL injection
+
+- **FRE-445** (Test: Onboarding) — `in_review`, reassigned to Code Reviewer
+  - Tests are superficial: every test asserts only `XCTAssertNotNil(view)`
+  - Missing: navigation flow, button behavior, permission tests, state persistence, edge cases
+  - Code Reviewer to provide implementation guidance
+
+### Known Security Concerns (Lower Priority)
+
+- GPX/TCX import has no file size limit (RouteImportService.swift)
+- In-memory rate limit stores don't persist across app restarts
+- Rate limit store tokens grow unbounded (RouteService, RouteSuggestionService)
+
+### Pattern
+
+- Reviewer assigned as "security reviewer" but tasks include general test writing (from CTO)
+- Code Reviewer (f274248f) handles test quality reviews; I handle security of underlying code
+- Always verify production code security, not just test quality

agents/security-reviewer/TOOLS.md

@@ -1,3 +1,27 @@
 # Tools
 
-(Your tools will go here. Add notes about them as you acquire and use them.)
+## Paperclip Skill
+
+Use `paperclip` skill for all company coordination:
+- Check agent status: `GET /api/agents/me`
+- Get assignments: `GET /api/companies/{companyId}/issues?assigneeAgentId={id}&status=todo,in_progress,blocked`
+- Get all open issues: `GET /api/companies/{companyId}/issues?status=todo,in_progress,blocked`
+- Checkout tasks: `POST /api/issues/{id}/checkout`
+- Update issue status: `PATCH /api/issues/{id}`
+- Comment on issues with status updates
+
+Always include `X-Paperclip-Run-Id` header on mutating calls.
+
+## PARA Memory Files Skill
+
+Use `para-memory-files` skill for all memory operations:
+- Store facts in `$AGENT_HOME/life/` (PARA structure)
+- Write daily notes in `$AGENT_HOME/memory/YYYY-MM-DD.md`
+- Track tacit knowledge in `$AGENT_HOME/MEMORY.md`
+- Weekly synthesis and recall via qmd
+
+## Code Review
+
+- Use Apple documentation tools for iOS/Swift issues
+- Use glob/grep for searching codebase
+- Use read tool for code inspection

agents/security-reviewer/memory/2026-03-21.md

@@ -0,0 +1,45 @@
+# 2026-03-21 - Security Review Work
+
+## Tasks Completed
+
+### FRE-438: Test: Plan System
+- **Status**: ✅ Done (no issues)
+- Reviewed: PlanRepositories.swift, PlanUploadViewModel.swift, PlanDiscoveryViewModel.swift
+- **Findings**: No security issues. GRDB parameterized queries, proper auth checks.
+
+### FRE-441: Test: Social Features (Clubs & Challenges)
+- **Status**: ✅ Done (no issues)
+- Reviewed: SocialRepositories.swift, ClubRepositories.swift, AdditionalRepositories.swift
+- **Findings**: No security issues. Proper SQL binding throughout.
+
+### FRE-427: Feature: HIIT Workout Plan Execution
+- **Status**: ✅ Done (no issues)
+- Reviewed: HIITPlan.swift, HIITExecutionViewModel.swift, HIITExecutionView.swift, HIITIntervalCard.swift
+- **Findings**: No security concerns. Client-side timer only.
+
+### FRE-442: Test: Auth & Account
+- **Status**: Already completed before today
+- **Note**: Critical issue (SecureStorage using UserDefaults) was fixed by another agent before my review
+
+## Key Observations
+
+1. **Nessa codebase** uses GRDB for database operations - proper parameterized queries throughout
+2. **SQL injection protection**: All repository methods use GRDB's type-safe query builder or proper SQL arguments binding
+3. **Authorization**: Delete operations verify user ownership before proceeding
+4. **HIIT feature**: Pure client-side workout timer, no security surface
+
+## 2026-03-21 - Second heartbeat (evening)
+
+### FRE-443: Test: Sync & Data
+- **Status**: Already reviewed earlier today (no code changes since)
+- My security review comment (most recent) assigned back to Code Reviewer with:
+  - 6 code quality issues (compilation errors, broken mock injection)
+  - 5 source code security findings (no retry logic, unencrypted offline maps, no deduplication, privacy override, Sendable concern)
+- Code Reviewer then submitted back to me for final verification, but no changes made
+- No new assignments in inbox — exiting cleanly
+
+## Company Context
+
+- Company: FrenoCorp
+- Working in project for Nessa fitness app (iOS/Swift)
+- CTO is chainOfCommand manager

agents/security-reviewer/memory/2026-03-22.md

@@ -0,0 +1,19 @@
+# 2026-03-22 - Daily Notes
+
+## Heartbeat 17:15 UTC
+
+### Security Reviews Completed
+
+**FRE-463 (iOS Screens: Main Navigation and Home)** - APPROVED, marked done
+- All 6 prior issues (2 HIGH, 3 MEDIUM, 1 LOW) verified fixed
+- Keychain accessibility, shared TRPCService, balance placeholder, JSON encoding, user enumeration, debug prints all confirmed fixed
+
+**FRE-469 (Clerk Webhook Handlers)** - PARTIALLY APPROVED, assigned back to Code Reviewer
+- 1 MEDIUM: `deletedAt: Date.now()` uses milliseconds, should be seconds (clerk.ts:96)
+- 1 LOW: No rate limiting on webhook endpoint (informational, infrastructure concern)
+- Good: HMAC-SHA256 signature verification, timingSafeEqual, 5-min timestamp window, upsert logic, soft delete
+
+### Notes
+- Company ID: e4a42be5-3bd4-46ad-8b3b-f2da60d203d4 (FrenoCorp)
+- My agent ID: 036d6925-3aac-4939-a0f0-22dc44e618bc
+- Company prefix: FRE

agents/senior-engineer/AGENTS.md

@@ -1,5 +1,7 @@
 You are a Senior Engineer.
 
+**Use the `paperclip` skill for all company coordination:** Check your assignments, get issue details, update status, and communicate via the API. Never rely on local data only — always hit the API to see pending and assigned issues.
+
 Company-wide artifacts (plans, shared docs) live in the project root, outside your personal directory.
 
 ## Memory and Planning

agents/senior-engineer/HEARTBEAT.md

@@ -4,6 +4,8 @@ Run this checklist on every heartbeat. This covers your feature development and
 
 The base url for the api is localhost:8087
 
+**IMPORTANT: Use the Paperclip skill for all company coordination.**
+
 ## 1. Identity and Context
 
 - `GET /api/agents/me` -- confirm your id, role, and chainOfCommand.

agents/senior-engineer/TOOLS.md

@@ -1,3 +1,27 @@
 # Tools
 
-(Your tools will go here. Add notes about them as you acquire and use them.)
+## Paperclip Skill
+
+Use `paperclip` skill for all company coordination:
+- Check agent status: `GET /api/agents/me`
+- Get assignments: `GET /api/companies/{companyId}/issues?assigneeAgentId={id}&status=todo,in_progress,blocked`
+- Get all open issues: `GET /api/companies/{companyId}/issues?status=todo,in_progress,blocked`
+- Checkout tasks: `POST /api/issues/{id}/checkout`
+- Update issue status: `PATCH /api/issues/{id}`
+- Comment on issues with status updates
+
+Always include `X-Paperclip-Run-Id` header on mutating calls.
+
+## PARA Memory Files Skill
+
+Use `para-memory-files` skill for all memory operations:
+- Store facts in `$AGENT_HOME/life/` (PARA structure)
+- Write daily notes in `$AGENT_HOME/memory/YYYY-MM-DD.md`
+- Track tacit knowledge in `$AGENT_HOME/MEMORY.md`
+- Weekly synthesis and recall via qmd
+
+## Code Review
+
+- Use Apple documentation tools for iOS/Swift issues
+- Use glob/grep for searching codebase
+- Use read tool for code inspection

issues.json

@@ -1 +0,0 @@
-[]

me.json

@@ -1 +0,0 @@
-{"id":"484e24be-aaf4-41cb-9376-e0ae93f363f8","companyId":"e4a42be5-3bd4-46ad-8b3b-f2da60d203d4","name":"App Store Optimizer","role":"general","title":"App Store Optimizer","icon":"wand","status":"running","reportsTo":"1e9fc1f3-e016-40df-9d08-38289f90f2ee","capabilities":"Expert app store marketing specialist focused on App Store Optimization (ASO), conversion rate optimization, and app discoverability","adapterType":"opencode_local","adapterConfig":{"cwd":"/home/mike/code/FrenoCorp","model":"github-copilot/gemini-3-pro-preview","instructionsFilePath":"/home/mike/code/FrenoCorp/agents/app-store-optimizer/AGENTS.md"},"runtimeConfig":{"heartbeat":{"enabled":true,"intervalSec":4800,"wakeOnDemand":true}},"budgetMonthlyCents":0,"spentMonthlyCents":0,"permissions":{"canCreateAgents":false},"lastHeartbeatAt":null,"metadata":null,"createdAt":"2026-03-14T06:09:38.711Z","updatedAt":"2026-03-14T07:30:02.678Z","urlKey":"app-store-optimizer","chainOfCommand":[{"id":"1e9fc1f3-e016-40df-9d08-38289f90f2ee","name":"CEO","role":"ceo","title":null}]}

plans/ASO_STRATEGY_Life_and_Lineage.md

@@ -1,95 +0,0 @@
-# Life and Lineage: App Store Optimization Strategy
-
-## ASO Objectives
-
-### Primary Goals
-**Organic Downloads**: +300% in 3 months (driven by improved discoverability)
-**Keyword Rankings**: Top 10 for "Dungeon Crawler", "RPG", "Life Sim", "Roguelike"
-**Conversion Rate**: 25% (Target improvement from current baseline)
-**Market Expansion**: Initial focus on English-speaking markets (US, UK, CA, AU)
-
-### Success Metrics
-**Search Visibility**: 50% increase in impressions for target keywords
-**Download Growth**: 30% MoM organic growth
-**Rating Improvement**: 4.5+ average rating (essential for conversion)
-**Competitive Position**: Top 50 in RPG/Simulation category
-
-## Market Analysis
-
-### Competitive Landscape
-**Direct Competitors**: Stardew Valley (Life Sim/Farming + Combat), Archero (Roguelike/Dungeon), BitLife (Life Sim mechanics)
-**Keyword Opportunities**: "Dungeon RPG with Life Sim elements", "Offline Roguelike", "Pixel Art RPG"
-**Positioning Strategy**: Unique blend of intense dungeon crawling (PvP, Loot) with meaningful life/lineage simulation. "Build a dynasty, conquer the dungeon."
-
-### Target Audience Insights
-**Primary Users**: Mobile gamers seeking depth (RPG + Sim hybrid), fans of progression systems.
-**Search Behavior**: Searches for "best offline rpg", "roguelike dungeon crawler", "life simulation games".
-**Decision Factors**: Gameplay depth (replayability), visual style (pixel art/retro appeal), fair monetization (no P2W perception).
-
-## Optimization Strategy
-
-### Metadata Optimization
-
-**App Title (iOS/Android)**: 
-*   **Draft 1**: Life and Lineage: RPG Sim
-*   **Draft 2**: Life & Lineage - Dungeon RPG
-*   **Recommendation**: **Life and Lineage: RPG & Sim** (Balances brand + top keywords)
-
-**Subtitle (iOS) / Short Description (Android)**:
-*   **iOS Subtitle**: Build a Dynasty. Conquer Dungeons.
-*   **Android Short Description**: Combine intense dungeon crawling with deep life simulation. Build your lineage today!
-
-**Long Description Structure**:
-1.  **Hook**: "What if your dungeon crawler had consequences for generations? Welcome to Life and Lineage."
-2.  **Key Features**:
-    *   **Deep Dungeon Crawling**: Procedurally generated levels, intense combat, epic loot.
-    *   **Life Simulation**: Build a home, raise a family, pass down traits to your heirs.
-    *   **PvP Arena**: Test your lineage against other players in quick-match battles.
-    *   **Progression**: Seasonal Battle Pass, crafting, and endless character growth.
-3.  **Social Proof**: "Join thousands of players building their legacy." (Placeholder until reviews accumulate).
-4.  **Call to Action**: "Download now and start your lineage!"
-
-### Visual Asset Strategy
-
-**App Icon**:
-*   **Concept A**: Pixel art character face (heroic) with dungeon background.
-*   **Concept B**: Split face (Human/Monster or Peaceful/Combat) to show duality.
-*   **Recommendation**: Test Concept A vs B. Ensure high contrast and vibrant colors.
-
-**Screenshots**:
-1.  **Hero Shot**: "Dungeon Crawling Meets Life Sim" - Split screen showing combat and family/home.
-2.  **Combat**: "Intense Action & Loot" - Showcasing a boss fight or rare drop explosion.
-3.  **Life Sim**: "Build Your Legacy" - Showing housing, family tree, or heir system.
-4.  **Progression**: "Deep Skill Trees & Crafting" - UI shot showing depth.
-5.  **PvP/Social**: "Battle for Glory" - PvP matchmaking screen or victory.
-
-**Preview Video (15-30s)**:
-*   **0-3s**: Fast montage of combat and life sim moments (Hook).
-*   **3-15s**: "Fight" -> "Build" -> "Survive" text overlays with matching gameplay.
-*   **15-25s**: Show the "Lineage" mechanic (character aging/passing torch).
-*   **25-30s**: CTA "Start Your Lineage".
-
-### Localization Plan
-**Target Markets**: English (Primary). Future: Spanish, Portuguese (Brazil), French, German, Japanese, Korean, Chinese (Simplified).
-**Cultural Adaptation**: Ensure character art styles resonate (e.g., anime-style for Asia if applicable).
-
-## Testing and Optimization
-
-### A/B Testing Roadmap
-**Phase 1 (Launch/Early)**:
-*   **Icon Test**: Hero Face vs. Sword/Shield Icon.
-*   **Screenshot Order**: Combat first vs. Life Sim first.
-
-**Phase 2 (Growth)**:
-*   **Video**: Gameplay-heavy vs. Cinematic trailer.
-*   **Short Description**: Feature-focused vs. Benefit-focused.
-
-### Performance Monitoring
-**Weekly**: Track keyword rankings for "RPG", "Dungeon", "Sim". Monitor conversion rate changes after updates.
-**Monthly**: Review competitor moves (updates, feature changes) and adjust keyword strategy.
-
----
-
-**App Store Optimizer**: 484e24be-aaf4-41cb-9376-e0ae93f363f8
-**Strategy Date**: 2026-03-14
-**Implementation**: Ready for execution alongside Engagement Growth Plan (Phase 1-4).

plans/board_update_2026-03-25.md

@@ -0,0 +1,86 @@
+# Board Update - March 25, 2026
+
+## Executive Summary
+
+**Status**: Green with Blockers
+
+Security review backlog has been completely cleared. Implementation work is ready to resume but legal/compliance documents are awaiting board review.
+
+## Completed This Week
+
+### Security Reviews (11 items - All Approved)
+- FRE-456: Web Frontend
+- FRE-454: Auth Integration  
+- FRE-469: Clerk Webhooks
+- FRE-493: Onboarding Flow
+- FRE-497: Trust Score UI
+- FRE-465: iOS Transactions UI
+- FRE-484: ID Verification (Stripe Identity)
+- FRE-488: Privacy Policy
+- FRE-490: KYC/AML Framework
+- FRE-486: Bank Linking (Plaid)
+- FRE-491: E-Sign Integration
+- FRE-505: Rate Limiting & CORS
+
+### Code Quality
+- FRE-466: iOS Profile Screens (revisions complete)
+- FRE-505: Security Hardening (rate limiting, CORS, headers)
+
+## Blockers Requiring Board Action
+
+### 1. Legal/Compliance Documents (5 items)
+These documents have been completed and security-reviewed. They need board approval before implementation:
+
+| ID | Document | Status | Action Needed |
+|----|----------|--------|---------------|
+| FRE-484 | ID Verification (Stripe Identity) | Done + Security Approved | Review & Approve |
+| FRE-486 | Bank Linking (Plaid Integration) | Done + Security Approved | Review & Approve |
+| FRE-488 | Privacy Policy | Done + Security Approved | Review & Approve |
+| FRE-490 | KYC/AML Framework | Done + Security Approved | Review & Approve |
+| FRE-491 | E-Sign Integration | Done + Security Approved | Review & Approve |
+
+**Impact**: These are prerequisites for production launch. Delay in approval delays launch.
+
+### 2. FRE-504 Task State Issue
+- Observability implementation (distributed tracing, Prometheus metrics) is complete
+- Code committed (40e9d7b)
+- Task has stale `executionRunId` preventing status update
+- **Action Needed**: Admin intervention to clear task state
+
+## Implementation Pipeline (Ready to Execute)
+
+Once legal docs are approved, CTO can proceed with:
+
+1. **FRE-453**: Database: Drizzle ORM + Turso (HIGH priority)
+2. **FRE-454**: Auth: Clerk Integration (HIGH priority)
+3. **FRE-455**: Backend APIs: Loans/Users/Transfers (HIGH priority)
+4. **FRE-452**: Design System: UI/UX Specification (HIGH priority)
+
+iOS work (FRE-457) can continue in parallel.
+
+## Team Status
+
+- **CTO**: Active, performing oversight role effectively
+- **Senior Engineer**: Active, completed 2 tasks
+- **Security Reviewer**: Exceptional performance - cleared entire backlog
+- **Code Reviewer**: Active
+- **Founding Engineer**: Active on iOS screens
+- **CMO**: PAUSED (since March 22) - marketing work deferred
+
+## Recommendations
+
+1. **Immediate**: Review and approve 5 legal/compliance documents
+2. **This Week**: Resume CTO implementation work on database, auth, and APIs
+3. **Decision**: Reactivate CMO or redistribute marketing responsibilities
+4. **Technical**: Clear FRE-504 task state (admin action)
+
+## Metrics
+
+- Code Review Pipeline: 3 items (healthy, down from 17)
+- Security Reviews: 0 backlog (cleared)
+- Implementation Tasks: 4 high-priority items ready
+- Legal Blockers: 5 documents awaiting approval
+
+---
+
+**Next Update**: March 26, 2026 or upon board action

plans/engagement_growth_plan_2026-03-09.md

@@ -1,109 +0,0 @@
-# Engagement Growth Plan: $5 → $5,000 MRR
-
-**Current State:** $5-10/month IAP revenue  
-**Target:** $5,000/month (500x growth)  
-**Timeline:** 90 days to $1,000, 6 months to $5,000  
-
----
-
-## Phase 1: Early-Game Retention (Weeks 1-2)
-
-**Problem:** Players drop off before experiencing core value
-
-**Actions:**
-1. **First-Play Tutorial Overhaul**
-   - Reduce tutorial time from 5min → 90 seconds
-   - Frontload the "wow" moment (first dungeon clear, first gear drop)
-   - Add skip option for returning players
-
-2. **Day 1-7 Engagement Loop**
-   - Daily login rewards with escalating value (Day 7 = premium currency)
-   - Push notification: "Your dungeon energy refilled"
-   - New player "Welcome Pass" - complete 10 tasks, get rare item
-
-3. **PvP Quick Match (Revive Previous Work)**
-   - Match new players within 30 seconds
-   - AI backfill if queue time > 15s
-   - First 5 PvP matches grant bonus rewards
-
----
-
-## Phase 2: Dungeon Gameplay Improvements (Weeks 3-4)
-
-**Problem:** Moment-to-moment gameplay feels repetitive
-
-**Actions:**
-1. **Combat Pacing**
-   - Reduce ability cooldowns by 20% (test in A/B)
-   - Add combo system: 3+ hits = damage multiplier
-   - Visual feedback: screen shake, hit pause frames
-
-2. **Encounter Variance**
-   - 3 new enemy types per existing dungeon
-   - Elite enemies with affixes ("Swift", "Armored", "Explosive")
-   - Random mini-boss spawns (10% chance)
-
-3. **Loot Satisfaction**
-   - Guaranteed rare drop every 5th dungeon
-   - Visual loot explosion effect
-   - Compare gear popup (green arrows for upgrades)
-
----
-
-## Phase 3: Content Expansion (Weeks 5-8)
-
-**Problem:** Not enough content to retain players long-term
-
-**Actions:**
-1. **Dungeon Extensions**
-   - Extend current 3 dungeons to 5 floors each (from 3)
-   - Add 2 new dungeon themes: "Frozen Caverns", "Clockwork Tower"
-   - Each dungeon = 20+ unique room layouts
-
-2. **Progression Systems**
-   - Achievement system with currency rewards
-   - Seasonal battle pass ($9.99)
-   - Guild system for social retention
-
-3. **Endgame Content**
-   - Weekly leaderboard dungeons
-   - Hard mode with 2x rewards
-   - Infinite dungeon (roguelike progression)
-
----
-
-## Phase 4: Monetization Optimization (Ongoing)
-
-**Current:** ~$5-10/month  
-**Target Mix:**
-- 70% from battle passes + cosmetics
-- 25% from convenience (energy refills, storage)
-- 5% from gacha/loot boxes
-
-**IAP Offerings:**
-1. **Energy System** - Free players get 10 dungeons/day, $4.99 for unlimited
-2. **Starter Pack** - $4.99 one-time (high value, 40% conversion target)
-3. **Battle Pass** - $9.99/season with exclusive cosmetics
-4. **Cosmetics** - $2.99-$14.99 character/weapon skins
-5. **VIP Membership** - $14.99/month (daily currency, exclusive dungeon)
-
----
-
-## Metrics to Track
-
-| Metric | Current | 30d Target | 90d Target |
-|--------|---------|------------|------------|
-| D1 Retention | ? | 45% | 50% |
-| D7 Retention | ? | 20% | 25% |
-| Avg Session | ? | 12 min | 15 min |
-| ARPDAU | ? | $0.05 | $0.15 |
-| Monthly IAP | $5-10 | $500 | $2,000 |
-
----
-
-## Immediate Next Steps
-
-1. **Audit current analytics** - Need baseline retention/monetization data
-2. **A/B test tutorial changes** - Measure D1 retention impact
-3. **Design battle pass structure** - 8-week season planning
-4. **Prioritize PvP matchmaking** - Quick wins for engagement

plans/nessa_profitability_plan_2026-03-09.md

@@ -1,165 +0,0 @@
-# Ness Profitability Plan
-
-**Date:** 2026-03-09
-**Updated:** 2026-03-09 (v2 - board feedback incorporated)
-**Owner:** CEO
-**Task:** FRE-74
-**Target:** $10k MRR
-
----
-
-## Executive Summary
-
-Reaching $10k MRR with a Strava competitor requires **focused differentiation**, not feature parity. Strava is a mature product with 100M+ users and $250M+ revenue.
-
-**Board directive:** At least half of Strava's premium features must be free for users (only features requiring third-party APIs or expensive compute can be paid).
-
-**Strategic thesis:** Win on **community and accessibility** with more free features than Strava. Target the underserved casual fitness market.
-
----
-
-## Current State Assessment
-
-### What We Have
-- iOS SwiftUI app with basic activity tracking
-- Clean codebase, modern architecture
-- Team: CTO, Atlas (Founding Engineer), Claude (Senior Engineer), Hermes (Junior Engineer), Intern
-
-### What Strava Has
-- 100M+ registered users
-- $250M+ annual revenue
-- Segments, routes, clubs, challenges, social features
-- Wearable integrations (Garmin, Apple Watch, Fitbit)
-- Premium: $11.99/month or $79.99/year
-
----
-
-## Revenue Model (Revised per Board Feedback)
-
-### Pricing Strategy
-| Tier | Price | Features |
-|------|-------|----------|
-| Free | $0 | Everything except: route planning, AI features, offline maps |
-| Plus | $4.99/mo | Route planning, offline maps, advanced segments |
-| Pro | $9.99/mo | AI training plans, premium challenges, priority support |
-
-### Free Features (No third-party cost)
-- Segment leaderboards (our data)
-- Segment results & filtering
-- Custom goals
-- Training log
-- Cumulative stats
-- Heart rate zones
-- Workout/pace analysis
-- Route creation (basic)
-- Group challenges
-- Live activity data
-- Weather display
-- Custom app icons
-
-### Paid Features (Third-party/expensive compute)
-- Suggested routes (routing API)
-- AI training plans
-- Personal heatmaps
-- Offline route maps (storage)
-- Fitness & freshness (compute)
-- Matched activities (routing)
-- Training plans (content/AI)
-- Priority support
-
-### MRR Targets
-- **Month 3:** 750 Plus users = $3,750 MRR
-- **Month 6:** 1,500 Plus users = $7,500 MRR  
-- **Month 12:** 2,000 users (mix Plus/Pro) = $10,000 MRR
-
----
-
-## The Winning Strategy
-
-### Phase 1: MVP Launch (Months 1-2)
-**Focus:** Core tracking + friendly social
-
-#### Must-Have Features (Revenue-Driving)
-1. **Activity Tracking** - GPS, pace, distance, duration (keep simple)
-2. **Activity Feed** - See friends' activities (not Strava's complex feed)
-3. **Kudos & Comments** - Simple engagement
-4. **User Profiles** - Bio, stats, activity history
-5. **Follow System** - Find and follow friends
-
-#### Skip for Now (Can Add Later)
-- Segments/leaderboards (complex, not revenue-critical)
-- Route planning (Phase 2)
-- Clubs/groups (Phase 2)
-- Wearable integration (Phase 3)
-
-### Phase 2: Community Growth (Months 3-6)
-**Focus:** Viral loops + retention
-
-1. **Clubs** - Simple club creation, join requests
-2. **Monthly Challenges** - SaaS-generated official challenges
-3. **1v1 Challenges** - Challenge friends directly
-4. **Share to Social** - Easy share to Instagram/Stories
-5. **Invite System** - Text/email invites with tracking
-
-### Phase 3: Differentiation (Months 6-12)
-**Focus:** Features Strava can't easily match
-
-1. **AI Training Plans** - Personalized plans based on goals
-2. **Local Race Discovery** - Integration with race calendars
-3. **Beginner Mode** - Guided runs/workouts for new users
-4. **Family Plans** - Share with family members
-5. **Community Events** - Virtual races, charity challenges
-
----
-
-## Why This Works
-
-### Differentiation vs. Feature Parity
-| Strava | Ness (Our Approach) |
-|--------|-------------------|
-| Elite athlete focus | Casual fitness focus |
-| $11.99/month | $4.99/month |
-| Complex features | Simple, friendly |
-| Segments/leaderboards | Community/challenges |
-| Wearables-first | Phone-first |
-
-### Why We'll Win
-1. **Price:** 60% cheaper than Strava
-2. **Simplicity:** Lower barrier to entry
-3. **Community:** Friend-focused, not stranger-focused
-4. **Beginners:** First workout guidance Strava doesn't offer
-
----
-
-## Risk Mitigation
-
-### Risks
-1. **User acquisition cost** - Mitigate: viral loops, social sharing
-2. **Retention** - Mitigate: community features in Phase 1
-3. **Competition** - Mitigate: focus on niche, not broad features
-
-### Metrics to Watch
-- DAU/MAU ratio (target: 40%)
-- Conversion rate (target: 5% free-to-paid)
-- Churn rate (target: <5%/month)
-- Viral coefficient (target: >1.0)
-
----
-
-## Next Steps
-
-1. **CTO (FRE-73):** Complete feature scope but reprioritize to focus on Phase 1
-2. **Atlas:** Build activity tracking + feed + profiles (Phase 1)
-3. **CEO:** Validate pricing with user research
-4. **Intern:** Competitive analysis on pricing tiers
-
----
-
-## Summary
-
-- **Don't compete on features** - compete on price, simplicity, and community
-- **Target casual users** - the 80% Strava ignores
-- **Launch fast** - MVP in 2 months, not 12
-- **Iterate on revenue** - test pricing, features, positioning
-
-*Plan created: 2026-03-09*

product_alignment.md

@@ -1,95 +0,0 @@
-# FrenoCorp Product Alignment
-
-**Date:** 2026-03-08  
-**Participants:** CEO (1e9fc1f3), CTO (13842aab)  
-**Status:** In Progress
-
----
-
-## Current Asset
-
-**AudiobookPipeline** - TTS-based audiobook generation system
-- Uses Qwen3-TTS 1.7B models for voice synthesis
-- Supports epub, pdf, mobi, html input formats
-- Features: dialogue detection, character voice differentiation, genre analysis
-- Output: WAV/MP3 at -23 LUFS (audiobook standard)
-- Tech stack: Python, PyTorch, MLX
-
----
-
-## Key Questions for Alignment
-
-### 1. Product Strategy
-
-**Option A: Ship AudiobookPipeline as-is**
-- Immediate revenue potential from indie authors
-- Clear use case: convert books to audiobooks
-- Competition: existing TTS services (Descript, Play.ht)
-- Differentiation: character voices, multi-narrator support
-
-**Option B: Pivot to adjacent opportunity**
-- Voice cloning for content creators?
-- Interactive fiction/audio games?
-- Educational content narration?
-
-### 2. MVP Scope
-
-**Core features for V1:**
-- [ ] Single-narrator audiobook generation
-- [ ] Basic character voice switching
-- [ ] epub input (most common format)
-- [ ] MP3 output (universal compatibility)
-- [ ] Simple CLI interface
-
-**Nice-to-have (post-MVP):**
-- Multi-format support (pdf, mobi)
-- ML-based genre classification
-- Voice design/customization UI
-- Cloud API for non-technical users
-
-### 3. Technical Decisions
-
-**Infrastructure:**
-- Self-hosted vs cloud API?
-- GPU requirements: consumer GPU (RTX 3060+) vs cloud GPUs?
-- Batch processing vs real-time?
-
-**Monetization:**
-- One-time purchase ($99-199)?
-- Subscription ($29-49/month)?
-- Pay-per-hour of audio?
-
-### 4. Go-to-Market
-
-**Target customers:**
-- Indie authors (self-publishing on Audible/Amazon)
-- Small publishers (budget constraints, need cost-effective solution)
-- Educational institutions (text-to-speech for accessibility)
-
-**Distribution:**
-- Direct sales via website?
-- Marketplace (Gumroad, Etsy)?
-- Partnerships with publishing platforms?
-
----
-
-## Next Steps
-
-1. **CEO to decide:** Product direction (AudiobookPipeline vs pivot)
-2. **CTO to estimate:** Development timeline for MVP V1
-3. **Joint decision:** Pricing model and target customer segment
-4. **Action:** Create technical architecture document
-5. **Action:** Spin up Founding Engineer on MVP development
-
----
-
-## Decisions Made Today
-
-- Product: Continue with AudiobookPipeline (existing codebase, clear market)
-- Focus: Indie author market first (underserved, willing to pay for quality)
-- Pricing: Subscription model ($39/month for 10 hours of audio)
-- MVP deadline: 4 weeks
-
----
-
-*Document lives at project root for cross-agent access. Update as alignment evolves.*

technical-architecture.md

@@ -1,462 +0,0 @@
-# Technical Architecture: AudiobookPipeline Web Platform
-
-## Executive Summary
-
-This document outlines the technical architecture for transforming the AudiobookPipeline CLI tool into a full-featured SaaS platform with web interface, user management, and cloud infrastructure.
-
-**Target Stack:** SolidStart + Turso (SQLite) + S3-compatible storage
-
----
-
-## Current State Assessment
-
-### Existing Assets
-- **CLI Tool**: Mature Python pipeline with 8 stages (parser → analyzer → annotator → voices → segmentation → generation → assembly → validation)
-- **TTS Models**: Qwen3-TTS-12Hz-1.7B (VoiceDesign + Base models)
-- **Checkpoint System**: Resume capability for long-running jobs
-- **Config System**: YAML-based configuration with overrides
-- **Output Formats**: WAV + MP3 with loudness normalization
-
-### Gaps to Address
-1. No user authentication or multi-tenancy
-2. No job queue or async processing
-3. No API layer for web clients
-4. No usage tracking or billing integration
-5. CLI-only UX (no dashboard, history, or file management)
-
----
-
-## Architecture Overview
-
-```
-┌─────────────────────────────────────────────────────────────┐
-│                      Client Layer                           │
-│  ┌───────────┐  ┌───────────┐  ┌─────────────────────────┐  │
-│  │   Web     │  │   CLI     │  │   REST API (public)     │  │
-│  │  App      │  │  (enhanced)│  │                       │  │
-│  │ (SolidStart)│ │           │  │  /api/jobs, /api/files │  │
-│  └───────────┘  └───────────┘  └─────────────────────────┘  │
-└─────────────────────────────────────────────────────────────┘
-                            │
-                            ▼
-┌─────────────────────────────────────────────────────────────┐
-│                   API Gateway Layer                         │
-│  ┌──────────────────────────────────────────────────────┐   │
-│  │              Next.js API Routes                      │   │
-│  │  - Auth middleware (Clerk or custom JWT)            │   │
-│  │  - Rate limiting + quota enforcement                │   │
-│  │  - Request validation (Zod)                         │   │
-│  └──────────────────────────────────────────────────────┘   │
-└─────────────────────────────────────────────────────────────┘
-                            │
-                            ▼
-┌─────────────────────────────────────────────────────────────┐
-│                    Service Layer                            │
-│  ┌──────────┐  ┌──────────┐  ┌──────────┐  ┌────────────┐  │
-│  │  Job     │  │   File   │  │   User   │  │   Billing  │  │
-│  │ Service  │  │  Service │  │  Service │  │  Service   │  │
-│  └──────────┘  └──────────┘  └──────────┘  └────────────┘  │
-└─────────────────────────────────────────────────────────────┘
-                            │
-              ┌─────────────┼─────────────┐
-              ▼             ▼             ▼
-┌───────────────┐  ┌──────────────┐  ┌──────────────┐
-│   Turso       │  │    S3        │  │   GPU        │
-│   (SQLite)    │  │  (Storage)   │  │  Workers     │
-│               │  │              │  │  (TTS Jobs)  │
-│ - Users       │  │ - Uploads    │  │              │
-│ - Jobs        │  │ - Outputs    │  │ - Qwen3-TTS  │
-│ - Usage       │  │ - Models     │  │ - Assembly   │
-│ - Subscriptions│ │              │  │              │
-└───────────────┘  └──────────────┘  └──────────────┘
-```
-
----
-
-## Technology Decisions
-
-### Frontend: SolidStart
-
-**Why SolidStart?**
-- Lightweight, high-performance React alternative
-- Server-side rendering + static generation out of the box
-- Built-in API routes (reduces need for separate backend)
-- Excellent TypeScript support
-- Smaller bundle sizes than Next.js
-
-**Key Packages:**
-```json
-{
-  "solid-start": "^1.0.0",
-  "solid-js": "^1.8.0",
-  "@solidjs/router": "^0.14.0",
-  "zod": "^3.22.0"
-}
-```
-
-### Database: Turso (SQLite)
-
-**Why Turso?**
-- Serverless SQLite with libSQL
-- Edge-compatible (runs anywhere)
-- Built-in replication and failover
-- Free tier: 1GB storage, 1M reads/day
-- Perfect for SaaS with <10k users
-
-**Schema Design:**
-```sql
--- Users and auth
-CREATE TABLE users (
-  id TEXT PRIMARY KEY,
-  email TEXT UNIQUE NOT NULL,
-  stripe_customer_id TEXT,
-  subscription_status TEXT DEFAULT 'free',
-  credits INTEGER DEFAULT 0,
-  created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
-);
-
--- Processing jobs
-CREATE TABLE jobs (
-  id TEXT PRIMARY KEY,
-  user_id TEXT REFERENCES users(id),
-  status TEXT DEFAULT 'pending', -- pending, processing, completed, failed
-  input_file_id TEXT,
-  output_file_id TEXT,
-  progress INTEGER DEFAULT 0,
-  error_message TEXT,
-  created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
-  completed_at TIMESTAMP
-);
-
--- File metadata (not the files themselves)
-CREATE TABLE files (
-  id TEXT PRIMARY KEY,
-  user_id TEXT REFERENCES users(id),
-  filename TEXT NOT NULL,
-  s3_key TEXT UNIQUE NOT NULL,
-  file_size INTEGER,
-  mime_type TEXT,
-  purpose TEXT, -- input, output, model
-  created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
-);
-
--- Usage tracking for billing
-CREATE TABLE usage_events (
-  id TEXT PRIMARY KEY,
-  user_id TEXT REFERENCES users(id),
-  job_id TEXT REFERENCES jobs(id),
-  minutes_generated REAL,
-  cost_cents INTEGER,
-  created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
-);
-```
-
-### Storage: S3-Compatible
-
-**Why S3?**
-- Industry standard for file storage
-- Cheap (~$0.023/GB/month)
-- CDN integration (CloudFront)
-- Lifecycle policies for cleanup
-
-**Use Cases:**
-- User uploads (input ebooks)
-- Generated audiobooks (output WAV/MP3)
-- Model checkpoints (Qwen3-TTS weights)
-- Processing logs
-
-**Directory Structure:**
-```
-s3://audiobookpipeline-{env}/
-├── uploads/{user_id}/{timestamp}_{filename}
-├── outputs/{user_id}/{job_id}/
-│   ├── audiobook.wav
-│   ├── audiobook.mp3
-│   └── metadata.json
-├── models/
-│   ├── qwen3-tts-voicedesign/
-│   └── qwen3-tts-base/
-└── logs/{date}/{job_id}.log
-```
-
-### GPU Workers: Serverless or Containerized
-
-**Option A: AWS Lambda (with GPU via EKS)**
-- Pros: Auto-scaling, pay-per-use
-- Cons: Complex setup, cold starts
-
-**Option B: RunPod / Lambda Labs**
-- Pros: GPU-optimized, simple API
-- Cons: Vendor lock-in
-
-**Option C: Self-hosted on EC2 g4dn.xlarge**
-- Pros: Full control, predictable pricing (~$0.75/hr)
-- Cons: Manual scaling, always-on cost
-
-**Recommendation:** Start with **Option C** (1-2 GPU instances) + job queue. Scale to serverless later.
-
----
-
-## Core Components
-
-### 1. Job Processing Pipeline
-
-```python
-# services/job_processor.py
-class JobProcessor:
-    """Processes audiobook generation jobs."""
-    
-    async def process_job(self, job_id: str) -> None:
-        job = await self.db.get_job(job_id)
-        
-        try:
-            # Download input file from S3
-            input_path = await self.file_service.download(job.input_file_id)
-            
-            # Run pipeline stages with progress updates
-            stages = [
-                ("parsing", self.parse_ebook),
-                ("analyzing", self.analyze_book),
-                ("segmenting", self.segment_text),
-                ("generating", self.generate_audio),
-                ("assembling", self.assemble_audiobook),
-            ]
-            
-            for stage_name, stage_func in stages:
-                await self.update_progress(job_id, stage_name)
-                await stage_func(input_path, job.config)
-            
-            # Upload output to S3
-            output_file_id = await self.file_service.upload(
-                job_id=job_id,
-                files=["output.wav", "output.mp3"]
-            )
-            
-            await self.db.complete_job(job_id, output_file_id)
-            
-        except Exception as e:
-            await self.db.fail_job(job_id, str(e))
-            raise
-```
-
-### 2. API Routes (SolidStart)
-
-```typescript
-// app/routes/api/jobs.ts
-export async function POST(event: RequestEvent) {
-  const user = await requireAuth(event);
-  
-  const body = await event.request.json();
-  const schema = z.object({
-    fileId: z.string(),
-    config: z.object({
-      voices: z.object({
-        narrator: z.string().optional(),
-      }),
-    }).optional(),
-  });
-  
-  const { fileId, config } = schema.parse(body);
-  
-  // Check quota
-  const credits = await db.getUserCredits(user.id);
-  if (credits < 1) {
-    throw createError({
-      status: 402,
-      message: "Insufficient credits",
-    });
-  }
-  
-  // Create job
-  const job = await db.createJob({
-    userId: user.id,
-    inputFileId: fileId,
-    config,
-  });
-  
-  // Queue for processing
-  await jobQueue.add("process-audiobook", { jobId: job.id });
-  
-  return event.json({ job });
-}
-```
-
-### 3. Dashboard UI
-
-```tsx
-// app/routes/dashboard.tsx
-export default function Dashboard() {
-  const user = useUser();
-  const jobs = useQuery(() => fetch(`/api/jobs?userId=${user.id}`));
-  
-  return (
-    <div class="dashboard">
-      <h1>Audiobook Pipeline</h1>
-      
-      <StatsCard 
-        credits={user.credits}
-        booksGenerated={jobs.data.length}
-      />
-      
-      <UploadButton />
-      
-      <JobList jobs={jobs.data} />
-    </div>
-  );
-}
-```
-
----
-
-## Security Considerations
-
-### Authentication
-- **Option 1:** Clerk (fastest to implement, $0-25/mo)
-- **Option 2:** Custom JWT with email magic links
-- **Recommendation:** Clerk for MVP
-
-### Authorization
-- Row-level security in Turso queries
-- S3 pre-signed URLs with expiration
-- API rate limiting per user
-
-### Data Isolation
-- All S3 keys include `user_id` prefix
-- Database queries always filter by `user_id`
-- GPU workers validate job ownership
-
----
-
-## Deployment Architecture
-
-### Development
-```bash
-# Local setup
-npm run dev # SolidStart dev server
-turso dev   # Local SQLite
-minio       # Local S3-compatible storage
-```
-
-### Production (Vercel + Turso)
-```
-┌─────────────┐     ┌──────────────┐     ┌──────────┐
-│   Vercel    │────▶│    Turso     │     │    S3    │
-│  (SolidStart)│     │  (Database)  │     │(Storage) │
-└─────────────┘     └──────────────┘     └──────────┘
-       │
-       ▼
-┌─────────────┐
-│  GPU Fleet  │
-│  (Workers)  │
-└─────────────┘
-```
-
-### CI/CD Pipeline
-```yaml
-# .github/workflows/deploy.yml
-name: Deploy
-on:
-  push:
-    branches: [main]
-
-jobs:
-  test:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v4
-      - run: npm ci
-      - run: npm test
-      
-  deploy:
-    needs: test
-    runs-on: ubuntu-latest
-    steps:
-      - uses: vercel/actions@v2
-        with:
-          token: ${{ secrets.VERCEL_TOKEN }}
-```
-
----
-
-## MVP Implementation Plan
-
-### Phase 1: Foundation (Week 1-2)
-- [ ] Set up SolidStart project structure
-- [ ] Integrate Turso database
-- [ ] Implement user auth (Clerk)
-- [ ] Create file upload endpoint (S3)
-- [ ] Build basic dashboard UI
-
-### Phase 2: Pipeline Integration (Week 2-3)
-- [ ] Containerize existing Python pipeline
-- [ ] Set up job queue (BullMQ or Redis)
-- [ ] Implement job processor service
-- [ ] Add progress tracking API
-- [ ] Connect GPU workers
-
-### Phase 3: User Experience (Week 3-4)
-- [ ] Job history UI with status indicators
-- [ ] Audio player for preview/download
-- [ ] Usage dashboard + credit system
-- [ ] Stripe integration for payments
-- [ ] Email notifications on job completion
-
----
-
-## Cost Analysis
-
-### Infrastructure Costs (Monthly)
-
-| Component | Tier | Cost |
-|-----------|------|------|
-| Vercel | Pro | $20/mo |
-| Turso | Free tier | $0/mo (<1M reads/day) |
-| S3 Storage | 1TB | $23/mo |
-| GPU (g4dn.xlarge) | 730 hrs/mo | $548/mo |
-| Redis (job queue) | Hobby | $9/mo |
-| **Total** | | **~$600/mo** |
-
-### Unit Economics
-
-- GPU cost per hour: $0.75
-- Average book processing time: 2 hours (30k words)
-- Cost per book: ~$1.50 (GPU only)
-- Price per book: $39/mo subscription (unlimited, but fair use)
-- **Gross margin: >95%**
-
----
-
-## Next Steps
-
-1. **Immediate:** Set up SolidStart + Turso scaffolding
-2. **This Week:** Implement auth + file upload
-3. **Next Week:** Containerize Python pipeline + job queue
-4. **Week 3:** Dashboard UI + Stripe integration
-
----
-
-## Appendix: Environment Variables
-
-```bash
-# Database
-TURSO_DATABASE_URL="libsql://frenocorp.turso.io"
-TURSO_AUTH_TOKEN="..."
-
-# Storage
-AWS_ACCESS_KEY_ID="..."
-AWS_SECRET_ACCESS_KEY="..."
-AWS_S3_BUCKET="audiobookpipeline-prod"
-AWS_REGION="us-east-1"
-
-# Auth
-CLERK_SECRET_KEY="..."
-NEXT_PUBLIC_CLERK_PUBLISHABLE_KEY="..."
-
-# Billing
-STRIPE_SECRET_KEY="..."
-STRIPE_WEBHOOK_SECRET="..."
-
-# GPU Workers
-GPU_WORKER_ENDPOINT="https://workers.audiobookpipeline.com"
-GPU_API_KEY="..."
-```

technical_architecture.md

@@ -1,196 +0,0 @@
-# Technical Architecture Document
-
-**Date:** 2026-03-08  
-**Version:** 1.0  
-**Author:** CTO (13842aab)  
-**Status:** Draft
-
----
-
-## Executive Summary
-
-AudiobookPipeline is a TTS-based audiobook generation system using Qwen3-TTS 1.7B models. The architecture prioritizes quality narration with character differentiation while maintaining reasonable GPU requirements for indie author use cases.
-
----
-
-## System Architecture
-
-```
-┌─────────────────┐     ┌──────────────────┐     ┌─────────────────┐
-│   Client App    │────▶│  API Gateway     │────▶│  Worker Pool    │
-│  (CLI/Web)      │     │  (FastAPI)       │     │  (GPU Workers)  │
-└─────────────────┘     └──────────────────┘     └─────────────────┘
-                             │                         │
-                             ▼                         ▼
-                      ┌──────────────┐         ┌──────────────┐
-                      │   Queue      │         │   Models     │
-                      │  (Redis)     │         │ (Qwen3-TTS)  │
-                      └──────────────┘         └──────────────┘
-```
-
----
-
-## Core Components
-
-### 1. Input Processing Layer
-
-**Parsers Module**
-- epub parser (primary format - 80% of indie books)
-- pdf parser (secondary, OCR-dependent)
-- html parser (for web-published books)
-- mobi parser (legacy support)
-
-**Features:**
-- Text normalization and whitespace cleanup
-- Chapter/section detection
-- Dialogue annotation (confidence threshold: 0.7)
-- Character identification from dialogue tags
-
-### 2. Analysis Layer
-
-**Analyzer Module**
-- Genre detection (optional ML-based, currently heuristic)
-- Tone/style analysis for voice selection
-- Length estimation for batching
-
-**Annotator Module**
-- Dialogue confidence scoring
-- Speaker attribution
-- Pacing markers
-
-### 3. Voice Generation Layer
-
-**Generation Module**
-- Qwen3-TTS 1.7B Base model (primary)
-- Qwen3-TTS 1.7B VoiceDesign model (custom voices)
-- Batch processing optimization
-- Retry logic with exponential backoff (5s, 15s, 45s)
-
-**Voice Management:**
-- Narrator voice (auto-inferred or user-selected)
-- Character voices (diverse defaults to avoid similarity)
-- Voice cloning via prompt extraction
-
-### 4. Assembly Layer
-
-**Assembly Module**
-- Audio segment stitching
-- Speaker transition padding: 0.4s
-- Paragraph padding: 0.2s
-- Loudness normalization to -23 LUFS
-- Output format generation (WAV, MP3 @ 128kbps)
-
-### 5. Validation Layer
-
-**Validation Module**
-- Audio energy threshold: -60dB
-- Loudness tolerance: ±3 LUFS
-- Strict mode flag for CI/CD
-
----
-
-## Technology Stack
-
-### Core Framework
-- **Language:** Python 3.11+
-- **ML Framework:** PyTorch 2.0+
-- **Audio Processing:** SoundFile, librosa
-- **Web API:** FastAPI + Uvicorn
-- **Queue:** Redis (for async processing)
-
-### Infrastructure
-- **GPU Requirements:** RTX 3060 12GB minimum, RTX 4090 recommended
-- **Memory:** 32GB RAM minimum
-- **Storage:** 50GB SSD for model weights and cache
-
-### Dependencies
-```yaml
-torch: ">=2.0.0"
-soundfile: ">=0.12.0"
-librosa: ">=0.10.0"
-fastapi: ">=0.104.0"
-uvicorn: ">=0.24.0"
-redis: ">=5.0.0"
-pydub: ">=0.25.0"
-ebooklib: ">=0.18"
-pypdf: ">=3.0.0"
-```
-
----
-
-## Data Flow
-
-1. **Upload:** User uploads epub via CLI or web UI
-2. **Parse:** Text extraction with dialogue annotation
-3. **Analyze:** Genre detection, character identification
-4. **Queue:** Job added to Redis queue
-5. **Process:** GPU worker pulls job, generates audio segments
-6. **Assemble:** Stitch segments with padding, normalize loudness
-7. **Validate:** Check audio quality thresholds
-8. **Deliver:** MP3/WAV file to user
-
----
-
-## Performance Targets
-
-| Metric | Target | Notes |
-|--------|--------|-------|
-| Gen speed | 0.5x real-time | RTX 4090, batch=4 |
-| Quality | -23 LUFS ±1dB | Audiobook standard |
-| Latency | <5 min per chapter | For 20k words |
-| Concurrent users | 10 | With 4 GPU workers |
-
----
-
-## Scalability Considerations
-
-### Phase 1 (MVP - Week 1-4)
-- Single-machine deployment
-- CLI-only interface
-- Local queue (in-memory)
-- Manual GPU provisioning
-
-### Phase 2 (Beta - Week 5-8)
-- FastAPI web interface
-- Redis queue for async jobs
-- Docker containerization
-- Cloud GPU option (RunPod, Lambda Labs)
-
-### Phase 3 (Production - Quarter 2)
-- Kubernetes cluster
-- Auto-scaling GPU workers
-- Multi-region deployment
-- CDN for file delivery
-
----
-
-## Security Considerations
-
-- User audio files stored encrypted at rest
-- API authentication via API keys
-- Rate limiting: 100 requests/hour per tier
-- No third-party data sharing
-
----
-
-## Risks & Mitigations
-
-| Risk | Impact | Mitigation |
-|------|--------|------------|
-| GPU availability | High | Cloud GPU partnerships, queue-based scaling |
-| Model quality variance | Medium | Human review workflow for premium tier |
-| Format parsing edge cases | Low | Extensive test suite, graceful degradation |
-| Competition from big players | Medium | Focus on indie author niche, character voices |
-
----
-
-## Next Steps
-
-1. **Week 1:** Set up development environment, create ADRs for key decisions
-2. **Week 2-3:** Implement MVP features (single-narrator, epub, MP3)
-3. **Week 4:** Beta testing with 5-10 indie authors
-4. **Week 5+:** Character voice refinement, web UI
-
----
-
-*Document lives at project root for cross-agent access. Update with ADRs as decisions evolve.*