title: L1-L4 Tier System Implementation

insight: Implemented a 4-tier product system (BASIC, STANDARD, PRO, ENTERPRISE) with additive capability inheritance and runtime feature gating via TierGate class

reasoning_chain: Recognized need for differentiated product tiers based on Session 9 strategic pivot

reasoning_chain: Created tier_definitions.json as single source of truth with capability mappings

reasoning_chain: Built TierGate class with recursive capability resolution through includes chain

reasoning_chain: Integrated tier param into Conductor engine.py and identity.py

reasoning_chain: Created L1-L4 agent definitions with appropriate capability sets

source_context: Genesis implemented the full tier system: 8 files created, 3 modified, all tests passing. 32 capabilities at Enterprise, 5 at BASIC, with inheritance chain resolution.


title: Product Pricing Strategy

insight: Tiered pricing at $497-697 (Standard), $997-1497 (Pro), $5K-10K (Enterprise) targets different creator segments with clear value differentiation

reasoning_chain: Session 9 pivot to viral app pattern required pricing rethink

reasoning_chain: L1-L4 tier system enables market segmentation

reasoning_chain: Standard targets digital employees, Pro targets domain experts, Enterprise targets large teams

reasoning_chain: Pricing reflects capability differentiation and target customer value

source_context: Supermemory stored: Product pricing — Standard $497-697, Pro $997-1497, Enterprise $5K-10K, margins


title: Supermemory API Discovery

insight: Discovered API endpoint differences between documentation and actual implementation, resolved via SDK for batch writes

reasoning_chain: Initial attempt to api.supermemory.com failed

reasoning_chain: Discovered SDK handles auth differently than raw curl

reasoning_chain: Switched to SDK batch writes for 11 memories

source_context: Genesis: 'The SDK handles auth differently than raw curl. Let me batch all 11 memories through the SDK.'


title: Voice Capability Inheritance

insight: TierGate correctly resolves that STANDARD tier inherits native_voice from its includes chain, demonstrating recursive capability resolution works

reasoning_chain: Created tier definitions with includes chain (ENTERPRISE includes PRO includes STANDARD includes BASIC)

reasoning_chain: Tested TierGate('ENTERPRISE').has('native_voice') = True

reasoning_chain: Realized this is inherited from STANDARD tier

reasoning_chain: Verified capability isolation: BASIC can't access voice, STANDARD can't access IDE

source_context: Verified: TierGate('ENTERPRISE').has('native_voice') = True (inherited from STANDARD)


type: DIRECTIVE

title: Keep Moving Directive

insight: Kinan's explicit directive to avoid stalling — AIVA/OpenClaw should maintain execution momentum on Phase 0

reasoning_chain: Kinan observed potential for research phase to stall

reasoning_chain: Issued direct instruction: 'ask aiva openclaw to keep you moving and not stall'

reasoning_chain: Genesis connected to Mac Mini and dispatched tasks

reasoning_chain: Set up coordination via taskboard and Supermemory

source_context: Kinan: 'ask aiva openclaw to keep you moving and not stall'


title: OpenClaw Config Blockage

insight: Custom config keys (sandbox, budget, constitutional, heartbeat, mcp plugin) were blocking OpenClaw CLI commands

reasoning_chain: Identified custom keys from earlier customization

source_context: Genesis: 'The custom keys are blocking CLI commands. Let me fix the config directly.'


title: Multi-Agent Phase 0 Execution

insight: Coordinated parallel research across Claude Code and Antigravity with taskboard synchronization

reasoning_chain: Phase 0 requires 10 competitor deep dives + Facebook ad mining + synthesis

reasoning_chain: Launched 3 research agents in parallel on Claude Code

reasoning_chain: Dispatched Antigravity tasks via OpenClaw (pricing screenshots, Ad Library, trial signups)

reasoning_chain: Set up Supermemory coordination context for shared state

reasoning_chain: Updated taskboard with 5 tasks (3 Antigravity, 2 Claude)

source_context: Running now (Claude Code): Agent 1 (Later/Metricool/Buffer), Agent 2 (Linktree/Stan/Beehiiv), Agent 3 (Kajabi/Kit/Sprout/Komi). Queued for Antigravity via shared taskboard.


title: CreatorDashboard.ai Strategic Pivot

insight: Session 9 marked pivot from 'stop building, start driving' with viral app pattern and $97/mo pricing

reasoning_chain: Recognized previous approach was too build-heavy

reasoning_chain: Pivoted to viral app pattern for faster market validation

reasoning_chain: Set $97/mo pricing (simpler than tiered, aligns with GHL native voice)

reasoning_chain: Created full autonomous execution PRD with 5 phases

reasoning_chain: Asset inventory compiled: 5000 influencers, knowledge graph, Python code, Lovable, VoiceAI

source_context: Session 9 Strategic Pivot — The 'stop building, start driving' decision with viral app pattern and $97/mo pricing


title: Agent Fleet Manifest

insight: 12-agent fleet (8 operational + 4 product tier) with TeamCreate pattern for parallel execution and shutdown lifecycle

reasoning_chain: Needed parallel research capability for Phase 0

reasoning_chain: Used TeamCreate to spawn research agents

reasoning_chain: Set up shutdown lifecycle with idle notifications

reasoning_chain: Verified clean shutdown of all teammates

source_context: Agent Teams pattern — TeamCreate, parallel builders, shutdown lifecycle. Agent fleet manifest — 12 agents total (8 operational + 4 product tier).


title: Voice Agent First Path

insight: US-based $97/user GHL native voice + template is easier first path than building custom Aussie voice

reasoning_chain: Evaluated alternatives: custom voice development vs GHL native

reasoning_chain: Chose GHL native as easier first path ($97/user)

reasoning_chain: Aligns with CreatorDashboard $97/mo pricing pattern

source_context: Voice Agent Status — Aussie voice not ready; US-based $97/user GHL native voice + template is easier first path