title: Voice-first prioritization for OpenWork integration

insight: Choosing voice communication between Kinan-AIVA as the primary feature over desktop automation because it builds on existing Whisper infrastructure and delivers immediate value

reasoning_chain: User explicitly asked about voice communication between Kinan and AIVA and Claude Code dictation

reasoning_chain: Existing genesis_voice.py and kinan_liaison.py provide head start

reasoning_chain: Desktop automation can follow once voice foundation is built

reasoning_chain: This delivers quick wins while establishing the integration foundation

source_context: Recommendation: Voice-first - You specifically asked about Kinan-AIVA voice and Claude Code dictation. The existing genesis_voice.py and kinan_liaison.py give us a head start.


title: Electron over Tauri for OpenWork implementation

insight: Selected Electron (accomplish-ai) implementation because Genesis is Python-heavy and Electron's Node bridge makes it easier to call Genesis skills

reasoning_chain: OpenWork has two implementations: Tauri/Rust (different-ai) and Electron (accomplish-ai)

reasoning_chain: Genesis codebase is Python-heavy with existing Python components

reasoning_chain: Node bridge in Electron provides easier integration with Python skills

source_context: Recommendation: Electron (accomplish-ai) - Genesis is Python-heavy, and Electron's Node bridge makes it easier to call Genesis skills. You can always migrate to Tauri later.


title: WebSocket server mode for OpenWork bridge

insight: Genesis hosts the WebSocket server (rather than client) so OpenWork desktop app connects to Genesis, enabling Genesis to orchestrate OpenWork actions

reasoning_chain: Need bidirectional communication between Genesis and OpenWork desktop app

reasoning_chain: Server mode allows Genesis to control when OpenWork executes actions

reasoning_chain: Enables action approval workflow before execution

reasoning_chain: Genesis can manage queue and priority of OpenWork tasks

source_context: Server: ws://0.0.0.0:8767, Status: Running, Mode: Server (Genesis hosts, OpenWork connects)


title: OpenWork calendar module shadowing Python stdlib

insight: Discovered and fixed a Python module shadowing issue where local calendar.py was conflicting with standard library, preventing aiohttp from working

reasoning_chain: Bridge failed to start with AttributeError: module 'calendar' has no attribute 'timegm'

reasoning_chain: aiohttp uses Python's standard calendar module internally

reasoning_chain: Found /mnt/e/genesis-system/core/integrations/calendar.py in the project

reasoning_chain: GENESIS_ROOT added to sys.path caused Python to find local calendar.py before stdlib

reasoning_chain: Fixed by renaming to calendar_integration.py

source_context: Found the issue! There's a core/integrations/calendar.py that's shadowing Python's standard library calendar module.


title: ReceptionistAI revenue target

insight: Set ambitious Month 1 target of 87 clients at $497/mo = $43,239 MRR to drive focused execution

reasoning_chain: ReceptionistAI is critical revenue priority

reasoning_chain: Pricing set at $497/mo (Starter), $697/mo (Professional), $997/mo (Enterprise)

reasoning_chain: 87 clients needed to hit $43K MRR target

reasoning_chain: This defines scope and urgency for Phase 1 execution

source_context: Target: 87 clients @ $497/mo = $43,239 MRR by Month 1


title: Stripe payment links over full checkout integration

insight: Created Stripe payment links for instant checkout capability without building full custom checkout flow, enabling faster time-to-revenue

reasoning_chain: Need payment capability for ReceptionistAI

reasoning_chain: Building full Stripe checkout requires more development

reasoning_chain: Payment links provide immediate checkout with pre-configured products

source_context: Stripe products created! Payment links: Starter $497/mo, Professional $697/mo, Enterprise $997/mo


type: DIRECTIVE

title: Skip website, focus on others

insight: Kinan directed to skip website rebrand (RAI-003) and focus on all other Phase 1 tasks

reasoning_chain: Genesis showed ReceptionistAI Phase 1 plan with website rebrand

reasoning_chain: User said 'skip website focus on all others'

reasoning_chain: Redirected effort to GHL, Telnyx, Lead Capture, n8n

source_context: Kinan: 'skip website focus on all others'


title: Sarah demo agent voice selection

insight: Selected Lily voice (ElevenLabs Turbo v2.5) for Sarah demo agent with Deepgram Nova-3 transcriber tuned for Australian English

reasoning_chain: Need demo voice agent for ReceptionistAI

reasoning_chain: Searched for female Australian voice in ElevenLabs

reasoning_chain: Lily was available (female, British) - can add Australian personality in prompt

reasoning_chain: Paired with Deepgram Nova-3 en-AU for accurate Australian transcription

source_context: Creating Sarah Demo Agent with Lily voice (female, British - we'll add Australian personality in the prompt)


title: OpenWork voice integration connects to existing Genesis voice

insight: Realized that OpenWork voice bridge can leverage existing Whisper STT and KinanLiaisonSystem infrastructure already built in Genesis

reasoning_chain: OpenWork provides desktop automation capabilities

reasoning_chain: Genesis already has voice components (genesis_voice.py, kinan_liaison.py)

reasoning_chain: OpenWork voice bridge can integrate with existing Whisper STT

reasoning_chain: Creates unified voice experience: Claude Code dictation + Kinan-AIVA conversation + OpenWork automation

source_context: Voice Channel initialized with: Whisper STT: medium.en model (CPU), KinanLiaisonSystem: Connected, Status Reporter: Active


title: Telnyx API key requires manual verification

insight: Telnyx AU number provisioning blocked because API key needs manual verification in Telnyx dashboard before use

reasoning_chain: Attempted to provision Telnyx AU number via API

reasoning_chain: API returned error requiring manual verification

reasoning_chain: Cannot programmatically buy numbers until key is verified

reasoning_chain: Marked as manual action required for user

source_context: Telnyx API key needs manual verification in their dashboard. Let me focus on GHL Sub-Account Template now


title: GHL needs agency-level API access

insight: GHL sub-account template creation blocked because current API key lacks agency-level permissions needed for template creation

reasoning_chain: Attempted to create GHL sub-account template via API

reasoning_chain: API returned 403 insufficient permissions error

reasoning_chain: Agency-level API access required for sub-account templates

reasoning_chain: Marked as manual action requiring dashboard configuration

source_context: GHL: Need agency-level API


title: Parallel research and implementation execution

insight: Selected parallel execution strategy where voice implementation starts immediately while research runs in background, allowing faster time-to-value with acceptable refactoring risk

reasoning_chain: Alternative was sequential (research first then implementation)

reasoning_chain: Voice enhancement is low-risk as it extends existing code

reasoning_chain: If research reveals better approaches, can refactor without major impact

reasoning_chain: Faster time-to-value wins over perfect planning

source_context: Recommendation: Parallel - Voice enhancement is low-risk (extends existing code). Research can run in background. If research reveals better approaches, we refactor.


title: Voice + TTS responses scope over wake word

insight: Chose to implement voice input with TTS output (no wake word initially) to enable natural Kinan-AIVA conversation without complexity of always-listening wake word detection

reasoning_chain: Full features include wake word, bidirectional, TTS, voice approval

reasoning_chain: Wake word needs tuning and adds compute overhead

reasoning_chain: Voice dictation only would be simpler but AIVA stays silent

reasoning_chain: Voice + TTS gives natural conversation without wake word complexity

source_context: Recommendation: Voice + TTS responses - Gives you natural Kinan-AIVA conversation without wake word complexity. Add wake word later as enhancement.


title: Multi-backend TTS fallback strategy

insight: Designed TTS system with fallback chain: Gemini primary (best quality) → ElevenLabs (reliable) → local espeak/say (always available) to ensure voice responses always work

reasoning_chain: Need reliable TTS for Kinan-AIVA voice communication

reasoning_chain: Single TTS backend creates single point of failure

reasoning_chain: Gemini TTS provides best quality but may have quotas

reasoning_chain: Local TTS (espeak on Linux, say on Mac) always available

reasoning_chain: Created automatic fallback chain in openwork_voice_response.py

source_context: Multi-backend TTS with budget management, Backends: GeminiTTSBackend, ElevenLabsTTSBackend, LocalTTSBackend