title: L4 First Development Strategy

insight: Build L4 (Enterprise-tier) agent first as Kinan's personal digital executive, then use it as reference implementation to derive L1-L3 tiers via feature flags

reasoning_chain: User explicitly needs L4 now for personal use - 'I need the L4 now for myself'

reasoning_chain: L4 is the most capable tier with full voice+vision+browser+memory+MCP+IDE+sovereign memory+compliance

reasoning_chain: Building Enterprise first establishes the complete architecture that can be feature-flagged down

reasoning_chain: This matches the product spec build order: Enterprise first → test → feature flags → launch Pro → launch Standard

source_context: User said: 'create for me the perfect L1-L4 agents. I need the L4 now for myself'


title: Voice Bottleneck to Solution Path

insight: Voice limitation is blocking rapid agent development; solving it enables collaborative building of ReceptionistAI

reasoning_chain: User frustrated: 'without voice I am like hindered and slow'

reasoning_chain: If voice worked: 'we could build out receptionist ai together'

reasoning_chain: Conductor Protocol exists (voice narrates + browser acts)

reasoning_chain: Native Voice Client exists (Gemini 2.5 Flash + Gemini 3 Flash)

reasoning_chain: Solution: prioritize L4 with full voice capability to eliminate bottleneck

source_context: User: 'If I could talk to you now we could build out receptionist ai together but without voice I am like hindered and slow'


title: Leverage Existing Infrastructure for L1-L4

insight: Build L1-L4 agents using existing components (Conductor, Voice Bridge, 32 MCP tools, Autonomy Framework, Model Tiers) rather than creating new services

reasoning_chain: Existing Conductor Protocol handles voice narrates + browser acts

reasoning_chain: Native Voice Client with Gemini 2.5/3 Flash already exists

reasoning_chain: 32 MCP tools already wired (task_board, file_lock, handoff, execution_bridge)

reasoning_chain: Autonomy Framework (L0-L3) already defined in AIVA_CORE/AUTONOMY_LEVELS.md

reasoning_chain: Model Tiers (3-tier TRUE Method) already in config/model_tiers.json

reasoning_chain: No new services needed - just wire agents into existing infrastructure

source_context: Plan covers: Wires into existing infrastructure: Conductor, Voice Bridge, MCP (32 tools), Autonomy Framework, Model Tiers — no new services needed


title: From Typing to Voice-First Agent Interaction

insight: Shift from manual text-based agent building to voice-first collaborative interaction with L4 digital executive

reasoning_chain: Current state: user types everything - slow and cumbersome

reasoning_chain: Voice enables: real-time conversation like talking to a colleague

reasoning_chain: L4 as personal digital executive: can discuss, iterate, and build collaboratively

reasoning_chain: Conductor Protocol enables: voice narrates while browser acts simultaneously

reasoning_chain: This transforms the development paradigm from isolated typing to conversational co-building

source_context: User wants to talk to Genesis 'like a colleague to build ReceptionistAI fast' but 'without voice I am like hindered and slow'


title: Voice Capability is Critical Blocker

insight: Lack of voice interface is the primary bottleneck preventing rapid agent development and collaborative building

reasoning_chain: User explicitly states voice is missing: 'without voice I am like hindered and slow'

reasoning_chain: Without voice: every interaction requires typing, slowing iteration

reasoning_chain: With voice: could build ReceptionistAI collaboratively in real-time

reasoning_chain: Conductor Protocol and Native Voice Client exist but not yet deployed for L4

reasoning_chain: Priority: get voice working in L4 to remove this blocker


title: Enterprise Reference Implementation

insight: L4 agent for Kinan serves dual purpose: personal tool AND Genesis product's Enterprise reference implementation

reasoning_chain: Kinan needs L4 now for personal use as founder

reasoning_chain: Building it validates the Enterprise tier actually works

reasoning_chain: This becomes the reference implementation for $5K-10K/seat Enterprise product

reasoning_chain: Real-world usage by founder reveals edge cases and improvements

reasoning_chain: Then feature-flag down to create Pro ($997-1497) and Standard ($497-697) tiers

source_context: From product tier spec: 'Build order: Enterprise first for Kinan → test → feature flags → launch Pro → launch Standard'


title: TierGate Feature Flag System

insight: Use TierGate runtime system to partition capabilities across L1-L4 tiers from a single codebase

reasoning_chain: Four distinct tiers need different capability sets (L1 entry → L4 Enterprise)

reasoning_chain: Rather than maintaining 4 separate codebases, use feature flags

reasoning_chain: TierGate system checks user tier before granting access

reasoning_chain: Capabilities: voice, memory, browser, MCP, IDE, sovereign memory, compliance

reasoning_chain: Enables rapid iteration: change flags, redeploy, all tiers updated

source_context: Plan includes: tier config JSON, and the TierGate runtime system


title: L4 Agent Definition Structure

insight: L4 needs 9 comprehensive sections covering identity, constitutional guard, capability matrix, model stack, domain overlays, execution protocol, communication, safety, and budget enforcement

reasoning_chain: L4 is Enterprise-tier - must be comprehensive and production-ready

reasoning_chain: Identity: who the agent is (Kinan's personal digital executive)

reasoning_chain: Constitutional Guard: 4-tier authority framework for safety

reasoning_chain: Capability matrix: full voice+vision+browser+memory+MCP+IDE

reasoning_chain: Model stack: Gemini 2.5 Flash + Gemini 3 Flash + Claude

reasoning_chain: Domain overlays: specific expertise areas

reasoning_chain: Execution protocol: how it operates autonomously

reasoning_chain: Communication: voice-first interaction model

reasoning_chain: Safety + budget enforcement: prevent runaway costs

source_context: L4 is a ~250-line agent definition with 9 sections covering identity, constitutional guard, full capability matrix, model stack, domain overlays, execution protocol, communication, safety, and budget enforcement


type: DIRECTIVE

title: Build L4 Now Priority

insight: Kinan's explicit directive: L4 agent is the immediate priority, everything else secondary

reasoning_chain: User stated: 'I need the L4 now for myself'

reasoning_chain: This is not a future request - it's immediate need

reasoning_chain: All other tasks (L1-L3) come after L4 is operational

reasoning_chain: User willing to iterate rapidly if voice works: 'we could build out receptionist ai together'

reasoning_chain: Directive drives the 4-phase plan: L4 first → TierGate wiring → L1-L3 definitions → verification

source_context: User: 'create for me the perfect L1-L4 agents. I need the L4 now for myself'


title: Supermemory MCP Integration

insight: Supermemory is already connected as MCP server - can be leveraged directly for L4 memory without additional setup

reasoning_chain: Previous attempt used plugin (which requires Pro plan)

reasoning_chain: Direct MCP connection bypasses Pro plan requirement

reasoning_chain: L4 can use Supermemory for sovereign memory capability

reasoning_chain: This enables the 'sovereign memory' feature of Enterprise tier

source_context: User corrected: 'supermemory is an mcp which you are already connected to' - correcting Genesis's attempt to use the plugin which required Pro plan